FIELD OF THE INVENTION
[0001] The invention relates to pollution masks, and in particular masks which incorporate
pollution sensing.
BACKGROUND OF THE INVENTION
[0002] The World Health Organization (WHO) estimates that 4 million people die from air
pollution every year. Part of this problem is the outdoor air quality in cities. The
worst in class are Indian cities like Delhi that have an annual pollution level more
than 10 times the recommended level. Well known is Beijing with an annual average
8.5 times the recommended safe levels. However, even in European cities like London,
Paris and Berlin, the levels are higher than recommended by the WHO.
[0003] Since this problem will not improve significantly on a short time scale, the only
way to deal with this problem is to wear a mask which provides cleaner air by filtration.
[0004] A most basic passive mask comprises an outer wall which, the mask is worn, defines
air chamber between the outer wall and the face of the user. A filter forms a boundary
between the air chamber and the ambient surroundings outside the air chamber. Thus,
the user breathes and out through the filter.
[0005] To improve comfort and effectiveness one or two fans can be added to the mask. These
fans are switched on during use and are typically used at a constant voltage. For
efficiency and longevity reasons these are normally electrically commutated brushless
DC fans.
[0006] The benefit to the wearer of using a powered mask is that the lungs are relieved
of the slight strain caused by inhalation against the resistance of the filters in
a conventional non-powered mask.
[0007] Furthermore, in a conventional passive (non-powered) mask, inhalation also causes
a slight negative pressure within the mask which leads to leakage of the contaminants
into the mask, which leakage could prove dangerous if these are toxic substances.
A powered mask delivers a steady stream of air to the face and may for example provide
a slight positive pressure, which may be determined by the resistance of an exhale
valve, to ensure that any leakage is outward rather than inward.
[0008] There are several advantages if the fan operation or speed is regulated. This can
be used to improve comfort by more appropriate ventilation during the inhalation and
exhalation sequence or it can be used to improve the electrical efficiency. The latter
translates into longer battery life or increased ventilation.
[0009] To regulate the fan speed, the pressure inside the mask can be measured and both
pressure as well as pressure variation can be used to control the fan.
[0010] For example, the pressure inside a mask can be measured by a pressure sensor and
the fan speed can be varied in dependence on the sensor measurements. For example
the pressure sensor measurements can be used to detect the breathing cycle of the
user, and the fan may be controlled in dependence on the stage within the breathing
cycle.
[0011] There are alternatives to the of a pressure sensor for monitoring the pressure inside
a mask.
WO 2018/215225 discloses a mask in which a rotation speed of the fan is used as a proxy for pressure
measurement. A pressure or a pressure change is determined based on the rotation speed
of the fan. Using this pressure information, the breathing pattern of the user can
be tracked.
[0012] When the mask is being worn, there is a desire to detect the air quality inside the
mask to show that the filter is working and is correctly functioning to remove the
air pollution, as expected.
[0013] Thus, it is known that it is desirable to incorporate a pollution sensor inside a
mask. However, inside a mask, the air alternates between inhaled air (coming through
the filter and into the lungs) and exhaled air. The duration of the breathing cycle
for example ranges between 4 seconds (sitting) to 2 seconds (running).
[0014] An average pollution level inside a mask over time is of some limited interest. However,
the pollution sensing is of more interest specifically for inhaled (and/or exhaled)
air. It would therefore be desirable to enable pollution sensing during a selected
part of the respiration cycle, e.g. inhalation only. Many sensors require some time
to reach a stable sensing signal (e.g. 10 seconds for some types optical particle
sensor). This is not because of the physical detection process but in order to have
enough samples to give a reliable result.
[0015] In the case of a mask, the time for one inhalation or exhalation cycle is not sufficient
to give a stable reading. It therefore remains a problem to provide detection which
is linked to the breathing cycles of the user.
SUMMARY OF THE INVENTION
[0016] The invention is defined by the claims.
[0017] According to examples in accordance with an aspect of the invention, there is provided
a pollution mask comprising:
an outer wall for, when the mask is worn, defining an air chamber between the outer
wall and the face of the user;
a filter which forms a boundary between the air chamber and the ambient surroundings
outside the air chamber;
a detecting circuit for detecting inhalation and exhalation portions of the breathing
cycle of the user;
a particle or pollution sensor for sensing inside the air chamber and providing a
sensing result; and
a controller which is adapted to:
combine sensing results in respect of a plurality of inhalation portions and derive
a combined inhalation sensing result; and/or
combine sensing results in respect of a plurality of exhalation portions and derive
a combined exhalation sensing result.
[0018] The invention relates to a pollution mask. By this is meant a device which has the
primary purpose of filtering ambient air to be breathed by the user. The mask does
not perform any form of patient treatment. In particular, the pressure levels and
flows resulting from the fan operation are intended solely to assist in providing
comfort (by influencing the temperature or relative humidity in the air chamber) and/or
to assist in providing a flow across a filter without requiring significant additional
breathing effort by the user. The mask does not provide overall breathing assistance
compared to a condition in which the user does not wear the mask.
[0019] This pollution mask has a particle or pollution sensor which samples data across
multiple breathing cycles so that sufficient data is obtained from either the inhalation
or exhalation cycles to combine to a single reading. The number of breathing cycles
needed for example depends on the duration of each breathing cycle, with more breathing
cycles needed for faster breathing.
[0020] Even in combination, the inhalation portions and exhalation portions still cover
only a fraction of the overall breathing time. The complete breathing cycle consists
of the inhalation and exhalation portions, but during the transitions between these
portions, there will be mixing of the inhaled/exhaled air. Therefore, the sampling
may exclude time periods corresponding to these transition phases and only sample
the air during the core of each phase.
[0021] The mask for example further comprises a fan for drawing air from outside the air
chamber into the air chamber and/or drawing air from inside the air chamber to the
outside. Thus, the invention may be applied to an active mask. This for example already
includes a detecting circuit for detecting inhalation and exhalation portions of the
breathing cycle of the user, because this information may be used for fan control.
For example, the fan speed may be controlled in synchronism with the breathing cycles
of the user, in order to save power. It may for example turn off during inhalation
or during exhalation. The invention can thus be implemented with little additional
overhead.
[0022] The detecting circuit is for example for detecting inhalation and exhalation portions
based on the pressure inside the air chamber (and in particular relative to the ambient
pressure). The pressure increases during exhalation and decreases during inhalation.
[0023] The detecting circuit may comprise a pressure sensor such as a cavity pressure sensor
or a differential pressure sensor.
[0024] Alternatively, the detecting circuit may comprise a means for determining a rotation
speed of the fan and a controller adapted to derive a pressure between the air chamber
and the ambient surroundings from the rotation speed of the fan, such that the fan
speed is used as a proxy of pressure measurement.
[0025] In this way the fan speed (for a fan which drives air into the chamber and/or expels
it from the chamber) is used as a proxy of pressure measurement. To measure the fan
speed, the fan itself may be used so that no additional sensors are required. The
chamber may be closed in normal use, so that pressure fluctuations in the chamber
have an influence on the load conditions of the fan and hence alter the fan electrical
characteristics. This avoids the need for a separate pressure sensor.
[0026] In one example, the fan is driven by an electronically commutated brushless motor,
and the means for determining rotation speed comprises an internal sensor of the motor.
The internal sensor is already provided in such motors to enable rotation of the motor.
The motor may even have an output port on which the internal sensor output is provided.
Thus, there is a port which carries a signal suitable for determining the rotation
speed.
[0027] Alternatively, the means for determining the rotation speed may comprise a circuit
for detecting a ripple on the electrical supply to a motor which drives the fan. The
ripple results from switching current through the motor coils, which cause induced
changes in the supply voltage as a result of the finite impedance of the input voltage
source.
[0028] The fan may be a two-wire fan and the circuit for detecting a ripple comprises a
high pass filter. The additional circuitry needed for a motor which does not already
have a suitable fan speed output can be kept to a minimum.
[0029] The controller may be adapted to:
collect sensing results continuously during a plurality of breathing cycles; and
create a sub-set of the sensing results relating to the plurality of inhalation portions
to derive the combined inhalation sensing result; and/or
create a sub-set of the sensing results relating to the plurality of exhalation portions
to derive the combined exhalation sensing result.
[0030] Thus, in practice, the sensor may continuously measure, and the sensing results are
post-processed to create the samples which are linked to the breathing cycles.
[0031] Alternatively, the controller may be adapted to:
perform sensing at selected times corresponding to the plurality of inhalation portions
to derive the combined inhalation sensing result; and/or
perform sensing at selected times corresponding to the plurality of exhalation portions
to derive the combined exhalation sensing result.
[0032] In this case, the sensor may be turned off, or isolated from the air flow, outside
the selected times.
[0033] The controller may be adapted to:
implement a lower pressure threshold below which the inhalation portions are identified;
and/or
implement an upper pressure threshold above which the exhalation portions are identified.
[0034] Thus, the inhalation and exhalation is detected based on pressure thresholds.
[0035] In one set of examples, the lower and/or upper pressure thresholds are set in dependence
on the breathing rate. More rapid breathing (e.g. during exercise) is generally deeper
breathing with a larger pressure swing. Thus, different thresholds may be applied
for different exercise levels.
[0036] In another set of examples, the lower and/or upper pressure thresholds are dynamically
adapted based on the pressure inside the air chamber during preceding inhalation and/or
exhalation portions. In this way, different breathing cycles will result in different
sampling windows.
[0037] The particle or pollution sensor for example comprises an optical light scattering
based sensor. It may be for measuring a particle concentration for example a PM2.5
level.
[0038] The filter for example comprises an outer wall of the air chamber and forms a boundary
directly between the air chamber and the ambient surroundings outside the air chamber.
This provides a compact arrangement which avoids the need for flow transport passageways
and enables a large filter area, because the mask body performs the filtering function.
It means the user is able to breathe in through the filter. The filter may have multiple
layers. For example, an outer layer may form the body of the mask (for example a fabric
layer), and an inner layer may be for removing finer pollutants. The inner layer may
then be removable for cleaning or replacement, but both layers may together be considered
to constitute the filter, in that air is able to pass through the structure and the
structure performs a filtering function.
[0039] The fan may be only for drawing air from inside the air chamber to the outside. In
this way, it may at the same time promote a supply of fresh filtered air to the air
chamber even during exhalation, which improves user comfort. In this case, the pressure
in the air chamber may be below the outside (atmospheric) pressure at all times so
that fresh air is always supplied to the face.
[0040] The invention also provides a method of measuring a particle or pollution level inside
an air chamber of a pollution mask, the method comprising:
detecting inhalation and exhalation portions of the breathing cycle of the user;
sensing a particle or pollution level inside the air chamber of the mask; and
combining sensing results in respect of a plurality of inhalation portions and deriving
a combined inhalation sensing result; and/or
combining sensing results in respect of a plurality of exhalation portions and deriving
a combined exhalation sensing result.
[0041] The method may comprise collecting sensing results continuously during a plurality
of breathing cycles, and:
creating a sub-set of the sensing results relating to the plurality of inhalation
portions to derive the combined inhalation sensing result; and/or
creating a sub-set of the sensing results relating to the plurality of exhalation
portions to derive the combined exhalation sensing result.
[0042] The sensing may instead be performed at selected times corresponding to the plurality
of inhalation portions to derive the combined inhalation sensing result and/or at
selected times corresponding to the plurality of exhalation portions to derive the
combined exhalation sensing result.
[0043] The inhalation and/or exhalation may be detected by implementing a lower pressure
threshold below which the inhalation portions are identified and/or implementing an
upper pressure threshold above which the exhalation portions are identified. The lower
and/or upper pressure thresholds maybe set in dependence on the breathing rate. They
may be dynamically adapted based on the pressure inside the air chamber during preceding
inhalation and/or exhalation portions.
BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Examples of the invention will now be described in detail with reference to the accompanying
drawings, in which:
Figure 1 shows a pollution mask including particle or pollution sensing.
Figure 2 shows one example of the components of the pressure monitoring system;
Figure 3A shows a rotation signal during inhalation and during exhalation and Figure
3B shows how a fan rotation speed varies over time; and
Figure 4 shows a circuit for controlling the current through one of the stators of
a brushless DC motor;
Figure 5 shows a generic design of an optical particle sensor which may be used as
the sensor;
Figure 6 shows the approach of the invention in schematic form;
Figure 7 shows three breathing waveforms for breathing while sitting, walking and
running;
Figure 8 shows three breathing waveforms together with a static threshold for breathing
while sitting, walking and running;
Figure 9 shows three breathing waveforms together with a dynamic threshold for breathing
while sitting, walking and running; and
Figure 10 shows a method of measuring a particle or pollution level inside an air
chamber of a pollution mask.
DETAILED DESCRIPTION OF THE EMBODIMENTS
[0045] The invention will be described with reference to the Figures.
[0046] It should be understood that the detailed description and specific examples, while
indicating exemplary embodiments of the apparatus, systems and methods, are intended
for purposes of illustration only and are not intended to limit the scope of the invention.
These and other features, aspects, and advantages of the apparatus, systems and methods
of the present invention will become better understood from the following description,
appended claims, and accompanying drawings. It should be understood that the Figures
are merely schematic and are not drawn to scale. It should also be understood that
the same reference numerals are used throughout the Figures to indicate the same or
similar parts.
[0047] The invention provides a pollution mask which includes detection of inhalation and
exhalation portions of the breathing cycle of the user. A particle or pollution sensor
is used for sensing inside the air chamber and providing a sensing result. Sensing
results are combined in respect of a plurality of inhalation portions or exhalation
portions to derive a combined sensing result. This enables a sufficient sensing time
period during only inhalation portions or during only exhalation portions, in order
to obtain an accurate sensing result.
[0048] Figure 1 shows a pollution mask including particle or pollution sensing.
[0049] A subject 10 is shown wearing a face mask 12 which covers the nose and mouth of the
subject. The purpose of the mask is to filter air before it is breathed in the subject.
For this purpose, the mask body itself acts as an air filter 16. Air is drawn in to
an air chamber 18 formed by the mask by inhalation.
[0050] The mask detects the breathing cycles of the user, and the timing of the breathing
cycles is monitored. In the example shown, during inhalation, an outlet valve 22 such
as a check valve is closed due to the low pressure in the air chamber 18.
[0051] The mask further comprises a sensor 24, for measuring a particle or pollution level
inside the air chamber 18. It generates a sensing result.
[0052] In the example shown in Figure 1, the sensor 24 is in series with the fan, and the
fan thereby generates the flow through the sensor. The sensor may be mounted behind
the fan and check valve. The electrical components are for example all integrated
together, which reduces the amount of wiring needed. However, the sensor may be located
in another position inside the mask cavity if the air flow can pass through.
[0053] Sensing the air quality inside a mask enables reassurance to be given to the user
that the filter is working and that the air inside the mask is healthy. Simply measuring
the air quality inside the mask is not sufficient if the sensor response time is greater
than the individual portions of the breathing cycle since the sensing will then mix
inhaled and exhaled air. The user typically wants to know the quality of the inhaled
air, and this should not be mixed with the exhaled air since exhaled air may be cleaner
due to deposition of particles within the lungs. Therefore, an average measurement
of the air quality inside the mask over a long time period (of multiple breaths) is
not optimal.
[0054] The filter 16 may be formed only by the body of the mask, or else there may be multiple
layers. For example, the mask body may comprise an external cover formed from a porous
textile material, which functions as a pre-filter. Inside the external cover, a finer
filter layer is reversibly attached to the external cover. The finer filter layer
may then be removed for cleaning and replacement, whereas the external cover may for
example be cleaned by wiping. The external cover also performs a filtering function,
for example protecting the finer filter from large debris (e.g. mud), whereas the
finer filter performs the filtering of fine particulate matter. There may be more
than two layers. Together, the multiple layers function as the overall filter of the
mask.
[0055] When the subject breathes out, air is exhausted through the outlet valve 22. This
valve is opened to enable easy exhalation, but is closed during inhalation. A fan
20 assists in the removal of air through the outlet valve 22. Preferably, more air
is removed than exhaled so that additional air is supplied to the face. This increases
comfort due to lowering relative humidity and cooling. During inhalation, by closing
the valve, it is prevented that unfiltered air is drawn in. The timing of the outlet
valve 22 is thus dependent on the breathing cycle of the subject. The outlet valve
may be a simple passive check valve operated by the pressure difference across the
filter 16. However, it may instead be an electronically controlled valve based on
the sensing of the breathing cycles.
[0056] The breathing cycles are detected based on pressure changes in the mask volume. There
will be a varied pressure inside the chamber if the mask is worn and the user is breathing.
In particular the chamber is closed by the face of the user. The pressure inside the
closed chamber when the mask is worn will also vary as a function of the breathing
cycle of the subject. When the subject breathes out, there will be a slight pressure
increase and when the subject breathes in there will be a slight pressure reduction.
[0057] If the fan is driven with a constant drive level (i.e. voltage), the different prevailing
pressure will manifest itself as a different load to the fan, since there is a different
pressure drop across the fan. This altered load will then result in a different fan
speed. The rotation speed of the fan may thus be used as a proxy for a measurement
of pressure across the fan. This is a preferred implementation because it uses fewer
sensors.
[0058] However, the concept of the invention may be implemented with pressure sensors for
obtaining the breathing characteristics.
[0059] For a known pressure (e.g. atmospheric pressure) at one side of the fan, the pressure
(or proxy pressure) monitoring enables determination of a pressure, or at least a
pressure change, on the other side of the fan. This other side is for example a closed
chamber which thus has a pressure different to atmospheric pressure.
[0060] The pressure variation, as detected based on monitoring the fan rotation speed or
by pressure measurement, is then used to obtain information about the breathing of
the user. In particular, a first value may represent the depth of breathing and a
second value may represent the rate of breathing.
[0061] The means for determining a rotation speed may comprise an already existing output
signal from the fan motor or a separate simple sensing circuit may be provided as
an additional part of the fan. However, in either of these two cases the fan itself
is used so that no additional sensors are required.
[0062] Figure 2 shows one example of the components of the system. The same components as
in Figure 1 are given the same reference numbers.
[0063] In addition to the components shown in Figure 1, Figure 2 shows the controller 30,
a local battery 32 and a means 36 for determining the fan rotation speed.
[0064] The controller 30 performs detection of the breathing cycle timing, as mentioned
above, as well the function of sensor signal processing. In particular, it is used
to combine sensing results in respect of a plurality of inhalation portions and derive
a combined inhalation sensing result. It may additionally, or alternatively, combine
sensing results in respect of a plurality of exhalation portions and derive a combined
exhalation sensing result.
[0065] The means 36 for determining the fan rotation speed is one possible implementation
of a detecting circuit for detecting inhalation and exhalation portions of the breathing
cycle of the user. Another possible implementation makes use of a pressure sensor
as mentioned above.
[0066] Figure 2 shows an output 38 for providing output information to the user. It could
be an integrated display, but more preferably it is a wireless communications transmitter
(or transceiver) for sending data to a remote device such as a smartphone, which can
then be used as the final user interface for providing data to the user, and optionally
for receiving control commands from the user for relaying to the controller 30.
[0067] The fan 20 comprises a fan blade 20a and a fan motor 20b. In one example, the fan
motor 20b is an electronically commutated brushless motor, and the means for determining
rotation speed comprises an internal sensor of the motor. Electronically commutated
brushless DC fans have internal sensors that measure the position of the rotor and
switch the current through the coils in such a way that the rotor rotates. The internal
sensor is thus already provided in such motors to enable feedback control of the motor
speed.
[0068] The motor may have an output port on which the internal sensor output 34 is provided.
Thus, there is a port which carries a signal suitable for determining the rotation
speed.
[0069] Alternatively, the means for determining the rotation speed may comprise a circuit
36 for detecting a ripple on the electrical supply to the motor 20b. The ripple results
from switching current through the motor coils, which cause induced changes in the
supply voltage as a result of the finite impedance on the battery 32. The circuit
36 for example comprises a high pass filter so that only the signals in the frequency
band of the fan rotation are processed. This provides an extremely simple additional
circuit, and of much lower cost than a conventional pressure sensor.
[0070] This means the motor can be of any design, including a two-wire fan with no in-built
sensor output terminal. It will also work with a DC motor with brushes.
[0071] If the outlet valve 22 is an electronically switched value, the respiration cycle
timing information may then be used to control the outlet valve 22 in dependence on
the phase of the respiration cycle.
[0072] In addition to controlling the outlet valve, the controller may turn off the fan
during an inhalation time or an exhalation time. This gives the mask different operating
modes, which may be used to save power.
[0073] For a given drive level (i.e. voltage) the fan speed increases at lower pressure
across the fan because of the reduced load on the fan blades. This gives rise to an
increased flow. Thus, there is an inverse relationship between the fan speed and the
pressure difference. This inverse relationship may be obtained during a calibration
process or it may be provided by the fan manufacturer. The calibration process for
example involves analyzing the fan speed information over a period during which the
subject is instructed to inhale and exhale regularly with normal breathing. The captured
fan speed information can then be matched to the breathing cycle, from which threshold
values can then be set for discriminating between inhalation and exhalation.
[0074] Figure 3A shows schematically the rotor position (as a measured sensor voltage) against
time.
[0075] The rotational speed may be measured from the frequency of the AC component (caused
by the switching events in the motor) of the DC voltage to the fan. This AC component
originates from the current variation that the fan draws, imposed on the impedance
of the power supply.
[0076] Figure 3A shows the signal during inhalation as plot 40 and during exhalation as
plot 42. There is a frequency reduction during exhalation caused by an increased load
on the fan by the increased pressure gradient. The observed frequency changes thus
results from the different fan performance during the breathing cycle.
[0077] Figure 3B shows the frequency variation over time, by plotting the fan rotation speed
versus time. There is a maximum difference in fan rotation speed Δfan between successive
maxima and minima, and this correlates with the depth of breathing. This is the first
value derived from the fan rotation signal. The time between these points is used
to derive the second value, for example the frequency corresponding to this time period
(which is then twice the breathing rate).
[0078] Note that the first value may be obtained from the raw fan rotation signal or there
may be smoothing carried out first. Thus, there are at least two different two ways
to calculate the maximum swing, based on untreated real-time speeds or treated speeds.
In practice, there is noise or other fluctuations added on the real-time signals.
A smoothing algorithm may be used to treat the real-time signal and calculate the
first value from the smoothed signal.
[0079] During the exhalation, fan operation forces air out of the area between face and
mask. This enhances comfort because exhalation is made easier. It can also draw additional
air onto the face which lowers the temperature and relative humidity. Between inhalation
and exhalation, the fan operation increases comfort because fresh air is sucked into
the space between the face and the mask thereby cooling that space.
[0080] In one example, during inhalation, the outlet valve is closed (either actively or
passively) and the fan can be switched off to save power. This provides a mode of
operation which is based on detecting the respiration cycle.
[0081] The precise timing of the inhalation and exhalation phases can be inferred from previous
respiration cycles, if the fan is turned off for parts of the respiration cycle, and
hence not giving pressure information.
[0082] For the fan assisted exhalation, power needs to be restored just before the exit
valve opens again. This also makes sure that the next inhale-exhale cycle remains
properly timed and sufficient pressure and flow are made available.
[0083] Around 30% power savings are easily achievable using this approach, resulting in
prolonged battery life. Alternatively, the power to the fan can be increased by 30%
for enhanced effectiveness.
[0084] With different fan and valve configurations the measurement of the fan rotation speed
enables control to achieve increased comfort.
[0085] In fan configurations where the filter is in series with the fan the pressure monitoring
may be used to measure the flow resistance of the filter, in particular based on the
pressure drop across the fan and filter. This can be done at switch on, when the mask
is not on the face for a period of time. That resistance can be used as a proxy for
the age of the filter.
[0086] As mentioned above, a fan using an electronically commutated brushless DC motor has
internal sensors that measure the position of the rotor and switch the current through
the coils in such a way that the rotor rotates.
[0087] Figure 4 shows an H-bridge circuit which functions as an inverter to generate an
alternating voltage to the stator coils 50 of the motor from a DC supply VDD, GND.
The inverter has a set of switches S1 to S4 to generate an alternating voltage across
the coil 50. The switches are controlled by signals which depend on the rotor position,
and these rotor position signals may be used to monitor the fan rotation.
[0088] Figure 5 shows a generic design of an optical particle sensor which may be used as
the sensor 24.
[0089] There is a gas flow 60 from an inlet 61 to an outlet 62 of the overall sensor device.
An infrared LED 64 (λ = 890 nm) is used to illuminate the gas flow to enable optical
detection of entrained particles based on optical measurements of scattering. The
LED is to one side of the detection volume and the sensing is carried out at the opposite
side. An alternative design may make use of reflection of light.
[0090] The optical sensor 66 comprises a photodiode sensor 68 and a focusing lens 70 at
which scattered light is collected.
[0091] A flow through the sensor device is provided by the breathing of the user. The air
flow carries the particles through the detection volume.
[0092] A controller 74 (which may be implemented as part of the controller 30) controls
the processing of the sensor signals and operation of the light source.
[0093] The detection volume is for example part of a housing which is placed on a printed
circuit board with the electronics to convert the signal due to the particles into
a count. The internal shape of the housing is such that leakage of LED light directly
towards the photodiode sensor, which would give a background signal, is minimal. By
electronically filtering out any remaining DC signal, the pulsed particle signal remains.
[0094] This signal is amplified and compared with a threshold voltage. Above a certain particle
size, the peak height is sufficient to pass the threshold. The threshold thus implements
a band pass filtering function. In one example of signal processing, the pulse is
counted and the pulse length is measured, resulting in a low-pulse occupancy time
(LPO%).
[0095] Thus, there are two basic outputs. One is a simple particle count, which is a count
of the number of detection peaks which exceed the threshold set. The other is the
proportion of the time that there is detection above the threshold. Thus, for a particular
threshold level, if the total time for which a signal is at or above the threshold
is 700 ms within a 1 s window, then the low-pulse occupancy time is 70%. The low pulse
occupancy measure enables a simple binary coding of the sensor output over time; for
example a binary zero output if the detected signal is above the threshold, and a
binary 1 if the detected signal is below the threshold. The summed time durations
of the digital zero periods correspond to the low pulse occupancy time. The combined
time of the digital zero periods (per fixed unit of time) is then proportional to
the analogue output signal.
[0096] In this type of sensor, the amplitude of the analog signal is proportional to the
particle size, whether using particle counting or low pulse occupancy measurement.
The threshold is implemented as a threshold voltage applied to a comparator which
controls the particle size sensitivity of the sensor system.
[0097] Larger particles scatter a larger amount light, hence generate a larger signal amplitude
at the photodetector. This analog signal (after appropriate filtering and amplification
stages) is provided to the comparator.
[0098] The threshold voltage provided to the comparator sets the boundary limit for this
analog signal. For example, a 1V threshold means that all signals above 1V will be
registered as a detection signal, hence corresponding to all particle sizes that generate
an analog signal above 1V. Likewise, a 2V threshold raises the boundary for allowing
only larger sized particles to generate an output.
[0099] For simplicity a 1V threshold voltage may correspond to signals generated for particles
of 1µm diameter and above, whereas as 2V threshold may correspond to particles of
2µm diameter and above.
[0100] The sensor may be used to generate a single particle count e.g. PM2.5, or different
thresholds may be applied for different particle size ranges (also known as 'size
bins'). For example, for a particle size range between 1µm and 2µm, the number of
signals generated at these threshold voltages are subtracted.
[0101] The sensor described above basically comprises:
a housing having an inlet and an outlet with a gas flow between them;
a light source and an optical detector for making optical scattering measurements
within a detection volume, wherein the detector signal is correlated with (and for
example proportional to) particle size; and
a signal processor comparing the detector signal with a threshold. The threshold may
be fixed (for a single size detection function) or it may be adjustable.
[0102] This is just one generic example of optical sensor. Other known optical sensor designs
may be used.
[0103] However, many such sensors require some time to generate a stable result. For example,
PM 2.5 sensors are known having a 10 seconds or longer settling time. The time may
be even longer for ultrafine particle (UFP) sensors. The time required may also depend
on the pollution concentration, wherein at lower concentrations the time required
is longer.
[0104] This time delay to get a stable signal is not due to a physical limitation of the
sensor but because sufficient samples are required to get a stable reading. The sensor
is for example continuously generating data, but it takes some time before a reliable
result is given.
[0105] Figure 6 shows the approach of the invention in schematic form.
[0106] The plot shows the breathing cycle, where a positive value represents exhalation
and a negative value represents inhalation. This may be measured by a differential
pressure sensor or by the fan motor current as explained above.
[0107] Sampling windows are defined, such as windows A, B, C which represent exhalation
phases (EP) and windows X, Y, X which represent inhalation phases (IP).
[0108] The sensor is used to sample these data windows across multiple breathing cycles
in order to obtain sufficient data from either inhalation portions or exhalation portions
for a single reading. The number of breathing cycles needed depends on the duration
of each individual breathing cycle. For example, more breathing cycles are needed
during faster breathing.
[0109] In this way, sufficient samples are obtained for combination to define individual
sensor (combined) readings with sufficient accuracy. For example, by combining multiple
samples from inhalation cycles, the sensor can gather enough samples to create a measurement
of the inhaled air (after the filter). Similarly, the exhalation samples can be combined
to give sufficient samples to create a measurement.
[0110] Depending on the flow to be analyzed, the sensor may only detect inhaled or exhaled
air.
[0111] One basic approach is to perform continuous monitoring and to use post-processing
to select the required portions of the full data stream. Since the final sensing result
needs serval breathing cycles, the delay in waiting for the full data stream and performing
post processing is not significant, for example a 10 second delay to generate an output
is not significant.
[0112] However, real time sensing may also be performed. The controller for example receives
real time sensing data from the sensor. The volume of data is compared with a predefined
threshold. If the sampled data reaches the threshold, then the data can be used for
a pollution level calculation, otherwise the data can be discarded.
[0113] Another approach is to perform sensing only during the sampling windows. The sensor
may be turned off between those times, or it may be physically only exposed during
the intended portions of the cycle, with no sensor reading during the other portions.
[0114] The preferred option is for the sensor to be continuously sampling. The controller
then determines which period of the sampling data will be used to calculate the pollution
level inside the mask cavity, based on the breath signal tracking (by the fan signal
or the pressure sensor signal).
[0115] Figure 7 shows three breathing waveforms. Figure 7A shows breathing while sitting,
Figure 7B shows breathing while walking and Figure 7C shows breathing while running.
[0116] It can be seen that user activity changes the breathing rate and depth of breathing.
[0117] The time windows should therefore be adapted to the nature of the breathing of the
user. In particular, the time windows should have a width such that they capture the
main core part of the inhalation or exhalation cycle, without being so wide that they
overlap with time periods of mixed inhalation and exhalation. In particular, in the
transitions between inhalation and exhalation phases, there will be mixing of the
inhaled/exhaled air.
[0118] For this purpose, the system dynamically adjusts the sampling time based on changes
in the breathing cycle, in particular the breathing rate, for example in response
to a change in user activity.
[0119] Even within the same general type of activity, each individual breathing cycle is
different. Thus, it is also possible to adapt the sampling window within individual
breathing cycles in an even more dynamic way.
[0120] Figure 8 shows three breathing waveforms together with a static threshold. Figure
8A shows breathing while sitting with a first threshold, Figure 8B shows breathing
while walking with a second threshold (lower than the first, i.e. more negative) and
Figure 8C shows breathing while running with a third threshold (lower than the second,
i.e. more negative).
[0121] The sampling time periods are shown as t1 to t12. The width is variable since it
corresponds to the time within each breathing cycle during which the signal (pressure
or proxy pressure) is below the threshold. Thus, it depends on the time-width the
actual breathing cycle.
[0122] When breathing in, once the user start to breathe in, the pressure inside the cavity
become negative. At the beginning of the inhalation phase, the cavity still has some
air which from the user's previous exhalation. The pressure is quickly decreased and
the particle sensor sampling starting time can be set to the time once the pressure
reaches the negative threshold.
[0123] In the example of Figure 8, the threshold value is pre-defined as a static value,
which is typically the half peak pressure value of the breathing cycle. Half peak
pressure is just one example, and other ways to set the threshold may be used.
[0124] In another example, the threshold value can be a self-set dynamic value.
[0125] Figure 9 shows three breathing waveforms together with a dynamically auto-adjusting
threshold. Figure 9A shows breathing while sitting, Figure 9B shows breathing while
walking and Figure 9C shows breathing while running.
[0126] The mask system for example records the data of the preceding breathing cycle or
set of breathing cycles. The threshold may be set at half (or other fraction) of the
peak pressure value of the preceding breathing cycle, or a combination of a set of
previous breathing cycles. In this way, the system can adapt to different activities,
different users and influences caused by different leakage amounts.
[0127] In order to ensure a sufficient time period during which data is sampled, the controller
keeps a timing count. The controller for example starts a timer once the pressure
drops below the threshold, and stops the timer once the pressure increases above the
threshold (i.e. measuring the time duration of the sampling periods t1 to t12).
[0128] The time periods are added from different cycles to form an overall timing value.
When the overall timing value reaches the desired sampling time, the sensor has enough
data to calculate the a sensing result, such as a PM value.
[0129] The sensor needs to gather sufficient samples from the cores of the inhalation (or
exhalation) phases to determine the pollutant value. For example, if the core of the
inhalation phase (where data is reliable) is 2 seconds and the sensor requires 10
seconds of data to derive a stable value, a total of 5 breathing cycles will be combined
to generate a sensor reading.
[0130] The mask may be for covering only the nose and mouth (as shown in Figure 1) or it
may be a full face mask. The mask is for filtering ambient air.
[0131] The mask design described above has the main air chamber formed by the filter material,
through which the user breathes in air. An alternative mask design has the filter
in series with the fan as also mentioned above. In this case, the fan assists the
user in drawing in air through the filter, thus reducing the breathing effort for
the user. An outlet valve enables breathed out air to be expelled and an inlet valve
may be provided at the inlet.
[0132] The invention may use the detected the pressure variations caused by breathing for
controlling an inlet valve and/or the outlet valve.
[0133] One option as discussed above is the use of the fan only for drawing air from inside
the air chamber to the outside, for example when an exhaust valve is open. In such
a case, the pressure inside the mask volume may be maintained by the fan below the
external atmospheric pressure so that there is a net flow of clean filtered air into
the mask volume during exhalation. Thus, low pressure may be caused by the fan by
during exhalation and by the user during inhalation (when the fan may be turned off).
[0134] An alternative option is the use of the fan only for drawing air from the ambient
surroundings to inside the air chamber. In such a case, the fan operates to increase
the pressure in the air chamber, but the maximum pressure in the air chamber in use
remains below 4 cmH2O higher than the pressure outside the air chamber, in particular
because no high pressure assisted breathing is intended. Thus, a low power fan may
be used.
[0135] It will thus be seen that the invention may be applied to many different mask designs,
with fan-assisted inhalation or exhalation, and with an air chamber formed by a filter
membrane or with a sealed hermetic air chamber.
[0136] In all cases, the pressure inside the air chamber preferably remains below 2 cmH2O,
or even below 1 cmH2O or even below 0.5 cmH2O, above the external atmospheric pressure.
The pollution mask is thus not for use in providing a continuous positive airway pressure,
and is not a mask for delivering therapy to a patient.
[0137] The mask is preferably battery operated so the low power operation is of particular
interest.
[0138] Figure 10 shows a method of measuring a particle or pollution level inside an air
chamber of a pollution mask.
[0139] Step 80 is an initialization step, which includes setting a pressure threshold in
step 80a, setting the required sensor sampling time in step 80b (a typical sampling
time is 10 seconds) and setting a timer to zero in step 80c.
[0140] The threshold pressure is used to determine when to start to sample using the sensor
and when to stop. The timer is used to record the senor sampling time.
[0141] In step 82, the user starts to use the mask, and the system starts to sample the
pressure thereby tracking the breathing of the user.
[0142] In step 84 the sampled pressure is compared with the threshold pressure (Th) to determine
whether a stable portion of the breathing period, within the inhalation period (in
this example) is reached.
[0143] If the pressure remains higher than the threshold value it means the breathing has
not reached the stable (core) period of the cycle so the method returns to step 82
(i.e. the YES outcome shown) and pressure continues to be monitored.
[0144] When the pressure has dropped below the threshold value (i.e. the NO outcome shown)
it means the particle sensor sampling period is reached.
[0145] The method then proceeds to step 86 at which the timer is started to record the sampling
time period.
[0146] In step 88, the sensor is started (or exposed to the air flow), to obtain sensing
data such as a particle count.
[0147] In step 90, the pressure continues to be monitored and the sensing continues to take
place.
[0148] In step 92 the pressure is compared with the threshold pressure.
[0149] If the pressure is less than the threshold value it means the breathing cycle is
still in the stable period, so the method returns to step 90 (i.e. the NO outcome
shown) and the sensor continues sampling.
[0150] If the pressure is higher than the threshold value it means the stable sampling period
is finished (i.e. the YES outcome shown). The timer is then stopped in step 94. The
newly recorded time is the sampling time of the current cycle. However, the total
sampling time is recorded by the timer.
[0151] Steps 84 to 94 thus implement detection of the inhalation portion of one breathing
cycle of the user and measurement of the time duration of the sampling.
[0152] The (summed) time is compared with the set sampling period T (e.g. 10 seconds) in
step 96. If the desired total sampling time is not yet reached (i.e. the NO outcome)
it means the particle sensor data is not yet enough to obtain a reliable PM value.
The method returns to step 82. The timer will then continue to record, i.e. the current
timer value is used as the beginning value of the next timing recording.
[0153] If the (summed) time has reached or exceeded the sampling period T (the YES outcome),
it means the sensor already has sufficient data to calculate the PM value.
[0154] In step 98 the combined sensing result is obtained, such as a PM2.5 value. The timer
is then reset to zero in step 100 and the method returns to step 82.
[0155] By cycling through steps 82 to 96 a number of times, a combined sensing result is
obtained respect of a plurality of inhalation (or exhalation) portions.
[0156] Note that an alternative to the method show is to obtain sensor data continuously
but to select suitable data sampling periods using a similar approach to that explained
above.
[0157] The mask may be supplemented with additional functionality and user interface options
but these are outside the scope of this disclosure.
[0158] As discussed above, embodiments make use of a controller, which can be implemented
in numerous ways, with software and/or hardware, to perform the various functions
required. A processor is one example of a controller which employs one or more microprocessors
that maybe programmed using software (e.g., microcode) to perform the required functions.
A controller may however be implemented with or without employing a processor, and
also maybe implemented as a combination of dedicated hardware to perform some functions
and a processor (e.g., one or more programmed microprocessors and associated circuitry)
to perform other functions.
[0159] Examples of controller components that may be employed in various embodiments of
the present disclosure include, but are not limited to, conventional microprocessors,
application specific integrated circuits (ASICs), and field-programmable gate arrays
(FPGAs).
[0160] In various implementations, a processor or controller may be associated with one
or more storage media such as volatile and non-volatile computer memory such as RAM,
PROM, EPROM, and EEPROM. The storage media may be encoded with one or more programs
that, when executed on one or more processors and/or controllers, perform the required
functions. Various storage media maybe fixed within a processor or controller or may
be transportable, such that the one or more programs stored thereon can be loaded
into a processor or controller.
[0161] Variations to the disclosed embodiments can be understood and effected by those skilled
in the art in practicing the claimed invention, from a study of the drawings, the
disclosure and the appended claims. In the claims, the word "comprising" does not
exclude other elements or steps, and the indefinite article "a" or "an" does not exclude
a plurality. A single processor or other unit may fulfill the functions of several
items recited in the claims. The mere fact that certain measures are recited in mutually
different dependent claims does not indicate that a combination of these measures
cannot be used to advantage. If the term "adapted to" is used in the claims or description,
it is noted the term "adapted to" is intended to be equivalent to the term "configured
to". Any reference signs in the claims should not be construed as limiting the scope.