FI20205189A1 - A device for collecting gas samples - Google Patents

A device for collecting gas samples Download PDF

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Publication number
FI20205189A1
FI20205189A1 FI20205189A FI20205189A FI20205189A1 FI 20205189 A1 FI20205189 A1 FI 20205189A1 FI 20205189 A FI20205189 A FI 20205189A FI 20205189 A FI20205189 A FI 20205189A FI 20205189 A1 FI20205189 A1 FI 20205189A1
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Finland
Prior art keywords
gas
sensor system
user
gas sensor
gases
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FI20205189A
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Finnish (fi)
Swedish (sv)
Inventor
Risto Orava
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Ds Deep Sensing Tech Oy
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Priority to FI20205189A priority Critical patent/FI20205189A1/en
Priority to PCT/FI2021/050086 priority patent/WO2021170902A1/en
Publication of FI20205189A1 publication Critical patent/FI20205189A1/en

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
    • G01N33/0047—Organic compounds
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
    • G01N1/02—Devices for withdrawing samples
    • G01N1/22—Devices for withdrawing samples in the gaseous state
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/082—Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65D—CONTAINERS FOR STORAGE OR TRANSPORT OF ARTICLES OR MATERIALS, e.g. BAGS, BARRELS, BOTTLES, BOXES, CANS, CARTONS, CRATES, DRUMS, JARS, TANKS, HOPPERS, FORWARDING CONTAINERS; ACCESSORIES, CLOSURES, OR FITTINGS THEREFOR; PACKAGING ELEMENTS; PACKAGES
    • B65D31/00—Bags or like containers made of paper and having structural provision for thickness of contents
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
    • G01N1/02—Devices for withdrawing samples
    • G01N1/22—Devices for withdrawing samples in the gaseous state
    • G01N1/2273—Atmospheric sampling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483—Physical analysis of biological material
    • G01N33/497—Physical analysis of biological material of gaseous biological material, e.g. breath
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483—Physical analysis of biological material
    • G01N33/497—Physical analysis of biological material of gaseous biological material, e.g. breath
    • G01N33/4975—Physical analysis of biological material of gaseous biological material, e.g. breath other than oxygen, carbon dioxide or alcohol, e.g. organic vapours
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Chemical & Material Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Public Health (AREA)
  • Medicinal Chemistry (AREA)
  • Food Science & Technology (AREA)
  • Urology & Nephrology (AREA)
  • Surgery (AREA)
  • Physiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Artificial Intelligence (AREA)
  • Hematology (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Mechanical Engineering (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Primary Health Care (AREA)
  • Psychiatry (AREA)
  • Epidemiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Pulmonology (AREA)
  • Mathematical Physics (AREA)
  • Combustion & Propulsion (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

A device for collecting gas samples comprises a bag portion (101) containing padding material (102), a gas collecting room (103) inside the bag portion, and a gas sensor system (104) connected to the gas collecting room. The gas collecting room is defined by a first wall portion (107) made of material penetrable by gas and second wall portions (108) made of material impenetrable by gas to receive, through the first wall portion, gases emitted by a user and to pump the gases to the gas sensor system when pressing force directed by the user to the bag portion varies the volume of the gas collecting room. The device can be for example a pillow, an extra piece of garment, or another soft furniture accessory which enables the user to self-monitor for example a health condition of the user during daily life.

Description

A device for collecting gas samples Technical field The disclosure relates to a device for collecting samples of gases emitted by a human or an animal.
Furthermore, the disclosure relates to a method for collecting gas samples.
Background Detection of human odor has become a subject of significant research interest because of the rich information on human body chemistry that can be extracted from human odor and a wide variety of potential applications this opens.
To some extent, the above-mentioned is applicable in conjunction with animals, too.
Since the body of each person produces unique odors regardless of diet, human odor can be used as a biometric for non-invasive and non-collaborative person identification.
Tracking of location of a person as well as a path or objects in which the person has come into contact via human odor detection is also a potential application for criminal investigation and forensics.
A chemical profile of human odor is affected by a stress level, and this can be used for detecting deception such as in security checkpoint screening.
In addition, the chemical profile of human odor is determined by a health condition and can be exploited for disease diagnoses and monitoring. o 20 The major constituents of human odor are volatile organic compounds “VOC”. For O example, human skin odor consists typically of Ce to C11 straight chain, branched N and unsaturated acids, alcohols, ketones, aldehydes, carbonyls, and some steroids. s Essential contributors to skin odor are terminally unsaturated acids, 2-methyl Ce — E C11 acids, and 4-ethyl Cs — C11 acids, along with (E)-3-methyl-2-hexenoic acid.
For 2 25 another example, the VOCs in breath include typically isoprene, ethane, pentane, D methanol, and acetone although the VOCs in breath vary greatly from person to N person.
For a third example, VOCs of normal urine are typically 2-butanone, 2- N pentanone, 4-heptanone, dimethyl disulfide, alkyl furane, pyrrole, and carvone.
Human odors can be categorized into three groups depending on their nature: 1) primary odor in which the production of odorants is genetically controlled and thus is stable over time regardless of diet and environmental factors, 2) secondary odor in which the odorants present are due to diet and environmental factors, and 3) tertiary odor which is composed of odorants from external sources such as e.g. cosmetic and skin care products.
Depending on an application, human odor detection can be based on detection of different categories or components of human odor.
For example, the above- mentioned primary odor can be used for person identification while the secondary odor can be exploited for disease diagnosis and deception identification.
Detection for person identification is based on chemical signatures of human odor which is determined by the components of the human odor and their differential information.
Disease diagnosis depends on the presence of one or a few odorants, e.g. acetone and/or other ketones.
Diseases to be diagnosed may comprise for example type 1 and/or type 2 diabetes.
In the light of the above-mentioned, there is a need for devices for collecting samples of gases emitted by a human or an animal.
The gas samples can be used for e.g. person identification based on personal body odors, health monitoring based on volatile organic compounds “VOC” emitted by a human, and/or detection of one or more diseases based on disease-specific mixtures of VOCs emitted by a human.
Summary S The following presents a simplified summary in order to provide a basic N understanding of some aspects of various invention embodiments.
The summary is 3 not an extensive overview of the invention.
It is neither intended to identify key or I 25 critical elements of the invention nor to delineate the scope of the invention.
The a » following summary merely presents some concepts of the invention in a simplified = form as a prelude to a more detailed description of exemplifying embodiments of the O . . S invention.
In accordance with the invention, there is provided a new device for collecting gas samples.
A device according to the invention comprises:
- a bag portion containing padding material, - a gas collecting room inside the bag portion, and - a gas sensor system connected via a gas flow channel to the gas collecting room and configured to produce one or more output signals.
The gas collecting room is defined by a first wall portion made of material penetrable by gas and second wall portions made of material impenetrable by gas so as to receive, through the first wall portion, gases emitted by a user and to pump the gases to the gas sensor system when pressing force directed by the user to the bag portion varies the volume of the gas collecting room. The device can be for example a pillow, an extra piece of garment, or another soft furniture accessory that can be used for e.g. i) identification of the user based on personal body odors, ii) health monitoring of the user based on volatile organic compounds “VOC” emitted by the user, and/or iii) detection of one or more diseases of the user based on disease- specific mixtures of VOCs emitted by the user. Diseases to be diagnosed may comprise for example type 1 and/or type 2 diabetes.
In accordance with the invention, there is provided also a new method for collecting gas samples. A method according to the invention comprises: - receiving gases emitted by a user, and - conducting the received gases to a gas sensor system that produces one or o 20 more output signals, & A wherein the gases are received at a gas collecting room that is inside a bag portion = that contains padding material, and wherein the gases are conducted to the gas - sensor system via a gas flow channel between the gas collecting room and the gas E sensor system, and wherein the gas collecting room is defined by a first wall portion 8 25 made of material penetrable by the gases and second wall portions made of material S impenetrable by the gases so as to receive, through the first wall portion, the gases N from the user and to pump the gases to the gas sensor system when pressing force directed by the user to the bag portion varies the volume of the gas collecting room.
Exemplifying and non-limiting embodiments are described in accompanied dependent claims. Various exemplifying and non-limiting embodiments both as to constructions and to methods of operation, together with additional objects and advantages thereof, will be best understood from the following description of specific exemplifying and non- limiting embodiments when read in conjunction with the accompanying drawings. The verbs “to comprise” and “to include” are used in this document as open limitations that neither exclude nor reguire the existence of unrecited features. The features recited in dependent claims are mutually freely combinable unless otherwise explicitly stated. Furthermore, it is to be understood that the use of “a” or “an”, i.e. a singular form, throughout this document does not exclude a plurality. Brief description of the figures Exemplifying and non-limiting embodiments and their advantages are explained in greater detail below in the sense of examples and with reference to the accompanying drawings, in which: figures 1a, 1b, 1c, and 1d illustrate a device according to an exemplifying and non- limiting embodiment for collecting gas samples, and figure 2 shows a flowchart of a method according to an exemplifying and non-limiting embodiment for collecting gas samples. N 20 Description of exemplifying and non-limiting embodiments
N S The specific examples provided in the description below should not be construed as N limiting the scope and/or the applicability of the accompanied claims. Lists and E groups of examples provided in the description are not exhaustive unless otherwise 3 explicitly stated.
LO N 25 Figure 1a illustrates a device according to an exemplifying and non-limiting N embodiment for collecting gas samples. The device comprises a bag portion 101 and padding material 102 inside the bag portion 101. The bag portion 101 can be made of for example textile and the padding material 102 can be for example foam plastic or some other suitable flexible and shape reversible material. The device comprises a gas collecting room 103 inside the bag portion 101. Figure 1a presents the bag portion 101 as a section view. The gas collecting room 103 is defined by a first wall portion 107 made of material penetrable by gas and second wall portions 5 108 made of material impenetrable by gas. The first wall portion 107 can be for example textile and the second wall portions 108 can be for example a plastic film. The device comprises a gas sensor system 104 which is connected via a gas flow channel 105 to the gas collecting room 103 and which is configured to produce one or more output signals 106. The gas sensor system 104 comprises advantageously many sensor elements each of which is sensitive to one or more gaseous substances. Each sensor element can be for example a semiconductor sensor, an electrochemical sensor, a catalytic sensor, a photoionization sensor, a biosensor, or an infrared sensor. It is to be noted that the invention is not limited to any specific sensor type or types. The above-mentioned gas flow channel comprises advantageously a non-return valve 109 that allows a gas flow from the gas collecting room 103 to the gas sensor system 104 but prevents a gas flow in an opposite direction.
The gas collecting room 103 receives, through the first wall portion 107, gases emitted by a user and pumps the gases to the gas sensor system 104 when pressing force F directed by the user to the bag portion 101 varies the volume of the gas collecting room 103. This pumping action is illustrated in figures 1b, 1c, and 1d which present the bag portion 101 as section views. Figures 1b-1d show exemplifying o situations in which a user 118 sits on the bag portion 101 and the user 118 is moving S so that the pressing force directed by the user to the bag portion 101 is first F1, then S 25 F2thatis smaller than F1, and then F3 that is greater than F2. In the transition from N the situation shown in figure 1b to the situation shown in figure 1c, the gas collecting E room 103 gets expanded because of flexibility of the padding material 102 and 2 therefore the gas collecting room 103 sucks gases emitted by the user 118. In the o transition from the situation shown in figure 1c to the situation shown in figure 1d, O 30 the gas collecting room 103 gets compressed and therefore the gas collecting room 103 pumps the gases received from the user 118 to the gas sensor system 104.
A device according to an exemplifying and non-limiting embodiment comprises a data processing system 110 that is configured to run an algorithm to produce data related to the user based on the one or more output signals 106 of the gas sensor system 104.
In a device according to an exemplifying and non-limiting embodiment, the data processing system 110 is configured to produce personal identification data identifying the user based on the one or more output signals 106 of the gas sensor system 104.
In a device according to an exemplifying and non-limiting embodiment, the data processing system 110 is configured to produce health monitoring data indicative of health of the user based on the one or more output signals 106 of the gas sensor system 104. In a device according to an exemplifying and non-limiting embodiment, the data processing system 110 is configured to produce disease indicator data indicative of one or more diseases of the user based on the one or more output signals 106 of the gas sensor system 104. Diseases to be detected may comprise for example type 1 and/or type 2 diabetes mellitus *T1DM”, “T2DM”, colorectal cancer “CRC”, other gastrointestinal “GI” diseases. In a device according to an exemplifying and non-limiting embodiment, the gas sensor system 104 is configured to detect volatile organic compounds “VOC” such S as for example acetone, ethanol, methyl nitrate, ethyl benzene, plasma triglycerides, O 2-pentyl nitrate, propane, and methanol. In this exemplifying case, the data N processing system 110 can be configured to produce the above-mentioned disease S indicator data based on for example a mixture of VOCs detected with the gas sensor I 25 system 104. a 3 In a device according to an exemplifying and non-limiting embodiment, the gas 3 sensor system 104 is configured to detect concentrations of VOCs in a gas sample, and the data processing system 110 is configured to produce the above-mentioned disease indicator data as disease-specific weighted linear combinations of values indicative of the detected VOC concentrations, each disease-specific weighted linear combination being a sum of weighted values of the detected VOC concentrations. The weight coefficients used in the disease-specific weighted linear combinations can be determined for example based on empirical example cases. It is to be noted that many different algorithms can be used for forming desired information based on the one or more output signals 106 of the gas sensor system 104, and therefore the invention is not limited to any specific algorithm or algorithms. A device according to an exemplifying and non-limiting embodiment comprises a transceiver 114 configured to communicatively connect to a mobile communication device 115 of the user. In this exemplifying case, the data processing system 110 can be configured to associate data related to the user, e.g. health monitoring data and/or disease indicator data, with a destination address that is based on information received from the mobile communication device 115. Furthermore, the data processing system 110 can be configured to control the transceiver 114 to transmit the data related to the user to a data transfer network 116 in accordance with the destination address. The information received from the mobile communication device 115 may comprise for example identifier data that identifies the user and expresses an address of a server or a like to which data related to the user can be sent. In this exemplifying case, an analysis based on data produced by the gas sensor system 104 can be e.g. a part of a cloud service and the user can download results of the analysis from the data transfer network 116. The cloud service can be connected to, or be a part of, e.g. a health care system. For another example, the data processing system 110 can be configured to control the o transceiver 114 to transmit the data related to the user to the mobile communication S device 115. In this exemplifying case, the user can inspect e.g. health monitoring S 25 data and/or disease indicator data directly with the aid of the mobile communication N device 115.
T E A device according to an exemplifying and non-limiting embodiment comprises a & tube 111 connected to the gas sensor system 104 and suitable for receiving a S sample of gas exhaled by the user, i.e. blown by the user to the tube 111.
N A device according to an exemplifying and non-limiting embodiment comprises a pump 112 and a valve 113 suitable for connecting the pump 112 to the gas sensor system 104 in order to ventilate at least the gas sensor system 104 with fresh air.
In the exemplifying device illustrated in figure 1a, the pump 112 is arranged to ventilate both the gas collecting room 103 and the gas sensor system 104. It is however also possible that the pump is connected to the gas sensor system 104 so that only the gas sensor system 104 is ventilated with fresh air.
The ventilation prepares the device for a new measurement so that a disturbing effect of an earlier measurement is minimized.
The gas sensor system 104 can be provided with a relief valve 117 that opens when gas pressure in the gas sensor system 104 exceeds a predetermined limit.
The relief valve 117 enables fresh air to flow through the gas collecting room 103 and the gas sensor system 104. The implementation of the data processing system 110 shown in figure 1a can be based on one or more processor circuits, each of which can be a programmable processor circuit provided with appropriate software, a dedicated hardware processor such as for example an application specific integrated circuit “ASIC”, or a configurable hardware processor such as for example a field programmable gate array “FPGA”. Furthermore, the data processing system 110 may comprise one or more memory devices such as e.g. random-access memory “RAM” circuits.
Figure 2 shows a flowchart of a method according to an exemplifying and non- limiting embodiment for collecting gas samples.
The method comprises the following actions: - action 201: receiving gases emitted by a user, and S - action 202: conducting the received gases to a gas sensor system that N produces one or more output signals, SN wherein the gases are received at a gas collecting room that is inside a bag portion E 25 that contains padding material, and wherein the gases are conducted to the gas 3 sensor system via a gas flow channel between the gas collecting room and the gas 3 sensor system, and wherein the gas collecting room is defined by a first wall portion N made of material penetrable by the gases and second wall portions made of material impenetrable by the gases so as to receive, through the first wall portion, the gases from the user and to pump the gases to the gas sensor system when pressing force directed by the user to the bag portion varies the volume of the gas collecting room. In a method according to an exemplifying and non-limiting embodiment, the gas flow channel comprises a non-return valve allowing a gas flow from the gas collecting room to the gas sensor system and preventing a gas flow in an opposite direction.
A method according to an exemplifying and non-limiting embodiment comprises running an algorithm to produce data related to the user based on the one or more output signals of the gas sensor system.
A method according to an exemplifying and non-limiting embodiment comprises communicatively connecting to a mobile communication device of the user, associating the above-mentioned data related to the user with destination address data based on information received from the mobile communication device, and transmitting the data related to the user to a data transfer network in accordance with the destination address data.
A method according to an exemplifying and non-limiting embodiment comprises producing personal identification data identifying the user based on the one or more output signals of the gas sensor system.
A method according to an exemplifying and non-limiting embodiment comprises producing health monitoring data indicative of health of the user based on the one or more output signals of the gas sensor system.
N S A method according to an exemplifying and non-limiting embodiment comprises N producing disease indicator data indicative of one or more diseases of the user s based on the one or more output signals of the gas sensor system. A method z according to an exemplifying and non-limiting embodiment comprises producing the > 25 disease indicator data based on a mixture of volatile organic compounds “VOC” 2 detected with the gas sensor system. In a method according to an exemplifying and S non-limiting embodiment, the gas sensor system detects concentrations of the N VOCs in a gas sample, and the method comprises producing the disease indicator data as a weighted linear combination of values indicative of the detected VOC concentrations, the weighted linear combination being a sum of weighted values of the detected VOC concentrations. The VOCs can be for example acetone, ethanol, methyl nitrate, ethyl benzene, plasma triglycerides, 2-pentyl nitrate, propane, and/or methanol. A method according to an exemplifying and non-limiting embodiment comprises receiving, at the gas sensor system, a sample of gas exhaled by the user. A method according to an exemplifying and non-limiting embodiment comprises pumping fresh air to the gas sensor system in order to ventilate at least the gas sensor system. The specific examples provided in the description given above should not be construed as limiting the applicability and/or interpretation of the appended claims.
It is to be noted that lists and groups of examples given in this document are non- exhaustive lists and groups unless otherwise explicitly stated.
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Claims (15)

What is claimed is:
1. A device for collecting gas samples, the device comprising: - a bag portion (101) and padding material (102) therein, - a gas collecting room (103) inside the bag portion, and - a gas sensor system (104) connected via a gas flow channel (105) to the gas collecting room and configured to produce one or more output signals, and characterized in that the gas collecting room is defined by a first wall portion (107) made of material penetrable by gas and second wall portions (108) made of material impenetrable by gas so as to receive, through the first wall portion, gases emitted by a user and to pump the gases to the gas sensor system when pressing force (F) directed by the user to the bag portion varies a volume of the gas collecting room.
2. Adevice according to claim 1, wherein the gas flow channel comprises a non- return valve (109) allowing a gas flow from the gas collecting room to the gas sensor system and preventing a gas flow in an opposite direction.
3. A device according to claim 1 or 2, wherein the device comprises a data processing system (110) configured to run an algorithm to produce data related to the user based on the one or more output signals of the gas sensor system.
4. A device according to claim 3, wherein the device comprises a transceiver o (114) configured to communicatively connect to a mobile communication device of N 20 the user, and the data processing system (110) is configured to associate the data S related to the user with destination address data based on information received from N the mobile communication device of the user and to control the transceiver to E transmit the data related to the user to a data transfer network in accordance with 3 the destination address data.
LO N 25 5. A device according to claim 3 or 4, wherein the data processing system is N configured to produce personal identification data identifying the user based on the one or more output signals of the gas sensor system.
6. A device according to any one of claims 3-5, wherein the data processing system is configured to produce health monitoring data indicative of health of the user based on the one or more output signals of the gas sensor system.
7. A device according to any one of claim 3-6, wherein the data processing system is configured to produce disease indicator data indicative of one or more diseases of the user based on the one or more output signals of the gas sensor system.
8. A device according to claim 7, wherein the data processing system is configured to produce the disease indicator data based on a mixture of volatile organic compounds detected with the gas sensor system.
9. Adevice according to claim 8, wherein the gas sensor system is configured to detect concentrations of the volatile organic compounds in a gas sample, and the data processing system is configured to produce the disease indicator data as a weighted linear combination of values indicative of the detected concentrations of the volatile organic compounds, the weighted linear combination being a sum of weighted values of the detected concentrations of the volatile organic compounds.
10. A device according to claim 8 or 9, wherein the gas sensor system is configured to detect at least one of the following volatile organic compounds: acetone, ethanol, methyl nitrate, ethyl benzene, plasma triglycerides, 2-pentyl nitrate, propane, and methanol. < 11. A device according to any one of claims 1-10, wherein the device comprises a N tube (111) connected to the gas sensor system and suitable for receiving a sample © of gas exhaled by the user.
N z 12. Adevice according to any one of claims 1-11, wherein the device comprises a 2 25 pump (112) and a valve (113) suitable for connecting the pump to the gas sensor O system to ventilate at least the gas sensor system with fresh air.
O N 13. Amethod for collecting gas samples, the method comprising: - receiving (201) gases emitted by a user, and
- conducting (202) the received gases to a gas sensor system that produces one or more output signals, wherein the gases are received at a gas collecting room that is inside a bag portion that contains padding material, and wherein the gases are conducted to the gas sensor system via a gas flow channel between the gas collecting room and the gas sensor system, characterized in that the gas collecting room is defined by a first wall portion made of material penetrable by the gases and second wall portions made of material impenetrable by the gases so as to receive, through the first wall portion, the gases from the user and to pump the gases to the gas sensor system — when pressing force directed by the user to the bag portion varies a volume of the gas collecting room.
14. A method according to claim 13, wherein the gas flow channel comprises a non-return valve allowing a gas flow from the gas collecting room to the gas sensor system and preventing a gas flow in an opposite direction.
15. A method according to claim 13 or 14, wherein the method comprises running an algorithm to produce data related to the user based on the one or more output signals of the gas sensor system.
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FI20205189A 2020-02-24 2020-02-24 A device for collecting gas samples FI20205189A1 (en)

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PCT/FI2021/050086 WO2021170902A1 (en) 2020-02-24 2021-02-05 A device for collecting gas samples

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