CN115211838A - Coupling interaction-based small intelligent device for lung function detection - Google Patents
Coupling interaction-based small intelligent device for lung function detection Download PDFInfo
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- CN115211838A CN115211838A CN202211146145.3A CN202211146145A CN115211838A CN 115211838 A CN115211838 A CN 115211838A CN 202211146145 A CN202211146145 A CN 202211146145A CN 115211838 A CN115211838 A CN 115211838A
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- 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
- A61B5/085—Measuring impedance of respiratory organs or lung elasticity
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
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- 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
- A61B5/091—Measuring volume of inspired or expired gases, e.g. to determine lung capacity
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- 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
- A61B5/097—Devices for facilitating collection of breath or for directing breath into or through measuring devices
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- 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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
Abstract
The invention relates to the technical field of lung function detection, in particular to a small intelligent device for lung function detection based on coupling interaction. The device comprises a device body, wherein the device body comprises an air flow channel and a detection assembly shell, the air flow channel is used for collecting air flow blown out by a mouth, the detection assembly shell is arranged outside the air flow channel, and a detection platform is arranged in the detection assembly shell. According to the lung function detection device, the wireless communication module and the cloud data center are used for realizing data coupling interaction, so that the functions of remote monitoring, maintenance, upgrading, intelligent data analysis and data sharing can be realized, the defects in the prior art are overcome, the lung function detection device can be completely miniaturized, the airflow channel is changed into a detachable module, the replacement is easy, and no cross infection risk exists.
Description
Technical Field
The invention relates to the technical field of lung function detection, in particular to a small intelligent device for lung function detection based on coupling interaction.
Background
The lung is an important organ in human body, the lung function examination is one of necessary examinations of respiratory system diseases, and the lung function examination can be used for early detection of lung and airway lesions, assessment of disease severity and prognosis, and assessment of curative effect of drugs or other treatment methods.
The prior function measuring device has low sampling frequency and large environmental interference on the result; equipment volume is all great, even there is miniaturized lung function measuring device also to need link to each other with the computer mainframe through wired mode, the lung function detection demand of the user's of not being convenient for multi-scene, for example:
the airflow channel is not modularized, the replacement cost is high, the airflow channel cannot be used by one person, and the risk of cross infection is huge; generally, the upgrading of equipment requires the next operation, and the efficiency is very low; the operation condition of the equipment cannot be monitored by a manufacturer; the equipment can only output simple data, and cannot perform big data and artificial intelligence analysis through cloud data; it is difficult for users and inspection agencies to track past data in real time.
Disclosure of Invention
The invention aims to provide a miniaturized intelligent device for pulmonary function detection based on coupling interaction, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides a miniaturized intelligent device for lung function detection based on coupling interaction, which includes a device body, the device body includes an airflow channel and a detection assembly housing, the airflow channel is used for collecting airflow blown out by a mouth, the detection assembly housing is arranged outside the airflow channel, a detection platform is arranged in the detection assembly housing, components of the detection platform are placed and fixed in the detection assembly housing through a bracket, the detection platform includes a sensing module, the sensing module is arranged at an air flow inlet side in the airflow channel and used for detecting environmental data and airflow pressure difference data, an output end of the sensing module is connected with a microcontroller, the microcontroller is used for calculating lung ventilation information and lung capacity information, an output end of the microcontroller is connected with a wireless communication module, the wireless communication module receives the lung ventilation information and the lung capacity information and sends coupling interaction forming information to an external receiving end, input ends of the sensing module, the microcontroller and the wireless communication module are connected with a power supply module, and the power supply the sensing module, the microcontroller and the wireless communication module.
As a further improvement of the present technical solution, the sensing module includes an environmental sensor and a differential pressure sensor, wherein:
the environment sensor is used for measuring current environment data and is arranged in the detection component shell;
the differential pressure sensor is used for measuring the pressure difference change data in the airflow channel, and the differential pressure sensor is arranged in the shell of the detection assembly and is communicated with the airflow channel through an air hose.
As a further improvement of the present technical solution, the microcontroller comprises a multi-way switch, a high-frequency acquisition chip, a self-calibration circuit, and a peripheral circuit, wherein:
the environment sensor and the differential pressure sensor are respectively connected with the multi-way change-over switch, the self-correcting circuit and the peripheral circuit;
the self-correcting circuit is used for calibrating the environment sensor and the differential pressure sensor;
and the peripheral circuit is used for connecting the power supply module to supply power to the environment sensor and the differential pressure sensor.
As a further improvement of the technical scheme, the high-frequency acquisition chip receives the environmental data and the pressure difference change data and calculates the lung ventilation information and the lung capacity information in real time according to the environmental data and the pressure difference change data.
As a further improvement of the technical scheme, the measurement algorithm of the high-frequency acquisition chip comprises the following steps:
s1, acquiring environmental data and differential pressure change data measured by an environmental sensor and a differential pressure sensor;
s2, carrying out interference removing processing on the environmental data and the differential pressure change data;
and S3, acquiring lung ventilation information and vital capacity information in the measurement process.
As a further improvement of the technical solution, the interference removing processing step in S2 is as follows:
s2.1, carrying out small filtering and smoothing on the differential pressure change data, and removing baseline drift by using a polynomial fitting method to obtain differential pressure change parameters;
s2.2, calculating a threshold value and a slope of the amplitude change of the data obtained in the S2.1, and extracting breathing parameters of the human body;
s2.3, subtracting the pressure difference change parameter from the breathing parameter, and smoothing to obtain the pressure difference in the monitoring process;
s2.4, acquiring environmental parameters according to the environmental data, and performing environmental compensation and reduction on the respiratory gas;
and S2.5, calculating lung ventilation information and vital capacity information.
As a further improvement of the technical solution, the environment parameters in s include a temperature parameter, a humidity parameter, and an environment pressure parameter of the current environment.
As a further improvement of the technical scheme, the air flow channel comprises an air inlet end and an air outlet end, the air inlet end collects the air flow blown out by the mouth part and is connected with the air outlet end to form an air flow path for air to flow in and out during breathing.
As a further improvement of the technical scheme, the air flow channel penetrates through the shell of the detection assembly and is in plug-in fit with the shell.
As a further improvement of the technical scheme, the bottom of the detection component shell is provided with a handle, the handle is longitudinally provided with a plurality of annular grooves, and the bottom of the handle inclines towards the air outlet end.
Compared with the prior art, the invention has the beneficial effects that:
1. in this miniaturized smart machine based on mutual pulmonary function of coupling detects, realize the coupling of data through wireless communication module and cloud data center and interact to can remote monitoring, maintain, upgrade, intelligent data analysis and data sharing's function, overcome the defect that above-mentioned prior art exists simultaneously, make pulmonary function check out test set can be miniaturized completely, let airflow channel become the removable module simultaneously, change in change, and do not have the cross infection risk.
2. In the small intelligent device for detecting the lung function based on the coupling interaction, the cloud data center stores detection data, so that early decline of the lung function can be found in time, COPD symptoms can be screened and found conveniently in early stage, and early diagnosis and early treatment of COPD can be realized.
3. In the small intelligent device for detecting the lung function based on the coupling interaction, a high-frequency collector is adopted for calibration, so that the difference between different chip performances and the drift of the same chip performance are overcome, and high-precision data measurement is realized.
Drawings
FIG. 1 is a schematic view of the overall structure of embodiment 1 of the present invention;
FIG. 2 is a first flowchart of the detection platform module according to embodiment 1 of the present invention;
fig. 3 is a block diagram of a second flowchart of the detection platform module according to embodiment 1 of the present invention.
The various reference numbers in the figures mean:
100. an apparatus body;
110. an air flow channel; 120. a detection assembly housing; 130. a grip;
200. a detection platform;
210. a sensing module; 220. a microcontroller; 230. a wireless communication module; 240. and a power supply module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides a miniaturized intelligent device for lung function detection based on coupling interaction, please refer to fig. 1, which comprises a device body 100, wherein the device body 100 comprises an air flow channel 110 and a detection assembly shell 120, the air flow channel 110 is used for collecting air flow blown out from a mouth part, specifically, the air flow channel 110 comprises an air inlet end and an air outlet end, the air inlet end collects the air flow blown out from the mouth part and is connected with the air outlet end to form an air flow path for air to flow in and out during respiration, in addition, the air flow channel 110 penetrates through the detection assembly shell 120 and is in plug fit with the detection assembly shell 120 to realize the disassembly of the air flow channel 110 and improve the sanitation degree during measurement, in addition, the bottom of the detection assembly shell 120 is provided with a handle 130, the handle 130 is longitudinally provided with a plurality of annular grooves, the bottom of the handle 130 is inclined towards the air outlet end so as to be convenient for holding during use, the detection assembly shell 120 is arranged outside the air flow channel 110, the detection assembly housing 120 is in a shape which is easy to miniaturize through ergonomics, so that the device body 100 is convenient to carry, the detection assembly housing 120 is internally provided with the detection platform 200, the components of the detection platform 200 are placed and fixed through a support, as shown in fig. 2, the detection platform 200 comprises a sensing module 210, the sensing module 210 is arranged at the air flow inlet side in the air flow channel 110 and is used for detecting environmental data and air flow pressure difference data, the output end of the sensing module 210 is connected with a microcontroller 220, the microcontroller 220 is used for calculating lung ventilation information and lung capacity information, the output end of the microcontroller 220 is connected with a wireless communication module 230, the wireless communication module 230 receives the lung ventilation information and the lung capacity information and sends out coupling interaction forming information to an external receiving end, the receiving end comprises a device end and a cloud data center, the wireless communication module 230 sends a fault signal of a satellite controller or a sensor to the cloud data center, specifically, data transmission is performed through a 4G, 5G, bluetooth, wiFi or data transmission module, a measurement result is sent to the cloud data center, the input ends of the sensing module 210, the microcontroller 220 and the wireless communication module 230 are connected with the power module 240, the power module 240 is used for supplying power to the sensing module 210, the microcontroller 220 and the wireless communication module 230, and specifically, power is supplied through a power supply device or a built-in battery.
In this embodiment, please refer to fig. 3, the sensing module 210 includes an environmental sensor and a differential pressure sensor, wherein:
an environmental sensor for measuring current environmental data, the environmental sensor being disposed within the detection assembly housing 120;
a differential pressure sensor is used to measure differential pressure variation data within the gas flow channel 110, and the differential pressure sensor is disposed within the detection assembly housing 120 and is in communication with the gas flow channel 110 via a gas hose.
Further, the microcontroller 220 includes a multiplexer, a high frequency acquisition chip, a self-calibration circuit, and a peripheral circuit, wherein:
the environment sensor and the differential pressure sensor are respectively connected with the multi-way change-over switch, the self-correcting circuit and the peripheral circuit;
the self-correcting circuit is used for calibrating the environment sensor and the differential pressure sensor;
the peripheral circuit is used for connecting the power supply module 240 to supply power to the environment sensor and the differential pressure sensor.
Specifically, the high-frequency acquisition chip receives the environmental data and the pressure difference change data, and calculates the lung ventilation information and the lung capacity information in real time according to the environmental data and the pressure difference change data.
In addition, the measurement algorithm of the high-frequency acquisition chip comprises the following steps:
s1, acquiring environmental data and differential pressure change data measured by an environmental sensor and a differential pressure sensor;
s2, carrying out interference removing processing on the environmental data and the differential pressure change data;
and S3, acquiring lung ventilation information and vital capacity information in the measurement process.
In addition, the interference elimination processing step in S2 is as follows:
s2.1, carrying out small filtering and smoothing processing on the differential pressure change data, and removing baseline drift by using a polynomial fitting method to obtain differential pressure change parameters.
S2.2, calculating a threshold value and a slope of the change of the data amplitude obtained in the S2.1, and extracting respiratory parameters of the human body;
s2.3, subtracting the pressure difference change parameter from the breathing parameter, and smoothing to obtain the pressure difference in the monitoring process;
s2.4, acquiring environmental parameters (the environmental parameters comprise a temperature parameter, a humidity parameter and an environmental pressure parameter of the current environment) according to the environmental data, and performing environmental compensation and reduction on the breathing gas;
and S2.5, calculating lung ventilation information and vital capacity information.
This example exemplifies a moving lung function measurement of thoracic impedance: firstly, calibrating an environment sensor and a differential pressure sensor by using a self-calibration circuit to obtain a fitting relation between measured differential pressure data and the environment data, obtaining the differential pressure data by using the differential pressure sensor, and obtaining an analog signal t1 (n) which is continuously monitored during movement by using a voltage measurement system, wherein the sampling rate is 128bit;
the thoracic impedance signal is then wavelet filtered and smoothed, specifically the most common model of the measured signal has the following form: t (n) = f (n) + e (n) where time n is equidistant, and denoising is to suppress the noise part e (n) of the signal t (n) and recover the useful signal f (n), and the principle is:
the known signal has certain continuity, and the modulus of a wavelet coefficient generated by the effective signal in a wavelet domain is often larger; the Gaussian white noise has no continuity in space (or time domain), and the noise still shows strong randomness in the wavelet domain after wavelet transformation and still meets the Gaussian white noise distribution;
in the wavelet domain, if the variance corresponding to the wavelet coefficient of the noise is sigma, the characteristics of Gaussian distribution are known, so most of the noise coefficients are located in the range of [ -2 sigma, 2 sigma ], therefore, as long as the coefficient in the range of [ -2 sigma, 2 sigma ] is set to be zero, the noise can be greatly suppressed, meanwhile, effective signals are reserved, and the wavelet coefficient after threshold processing is reconstructed, so that the denoised useful voltage signal can be obtained.
The method comprises the steps of firstly carrying out polynomial fitting on signals with linear trends to obtain fitted baselines, then subtracting the baseline fitting signals from original signals to obtain signals with baseline drift removed, filtering out analog signals and high-frequency noise introduced by the environment in order to extract respiratory voltage signals, adopting a wavelet threshold filtering method in the embodiment to filter out high-frequency noise interference and keep reconstructing respiratory signals to obtain a high signal-to-noise ratio, wherein the wavelet threshold filtering adopts a fixed hard threshold, carrying out adjustment according to noise level estimation of first-layer wavelet decomposition, carrying out environment compensation on amplitude and slope change of the obtained signals after adjustment, extracting accurate data signals, then subtracting differential pressure change parameters and respiratory parameters, carrying out smoothing processing to obtain differential pressure in a monitoring process, and finally carrying out data transmission of 4G, 5G, bluetooth, wiFi and a data transmission module through a wireless communication module 230 to send measurement results to a cloud data center, wherein the cloud data center calculates different time point sensors through an algorithm to obtain flow sensors, flow rate sensors and pressure sensors, and finally measures flow rate data of airflow channels 110 and lung pressure data of human body, and obtains final flow rate data of human body.
The foregoing shows and describes the general principles, principal features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. Miniaturized smart device based on mutual lung function detection of coupling, including equipment body (100), equipment body (100) includes air current passageway (110) and detection subassembly shell (120), and air current passageway (110) are used for collecting the air current that the mouth blew off, and detection subassembly shell (120) set up in air current passageway (110) outside, set up in detection subassembly shell (120) and detect platform (200), its characterized in that: the detection platform (200) comprises a sensing module (210), the sensing module (210) is arranged at the air flow entering side in an air flow channel (110) and used for detecting environmental data and air flow pressure difference data, the output end of the sensing module (210) is connected with a microcontroller (220), the microcontroller (220) is used for calculating lung ventilation information and lung capacity information, the output end of the microcontroller (220) is connected with a wireless communication module (230), the wireless communication module (230) receives the lung ventilation information and the lung capacity information and sends coupling interaction forming information to an external receiving end, the input ends of the sensing module (210), the microcontroller (220) and the wireless communication module (230) are connected with a power supply module (240), and the power supply module (240) is used for supplying power to the sensing module (210), the microcontroller (220) and the wireless communication module (230).
2. The small form factor smart device for pulmonary function detection based on coupled interaction of claim 1, wherein: the sensing module (210) comprises an environmental sensor and a differential pressure sensor, wherein:
the environment sensor is used for measuring current environment data;
the differential pressure sensor is used for measuring differential pressure change data in the airflow channel (110).
3. The small-scale smart device for pulmonary function detection based on coupled interaction of claim 2, wherein: the microcontroller (220) comprises a multi-way switch, a high-frequency acquisition chip, a self-correcting circuit and a peripheral circuit, wherein:
the environment sensor and the differential pressure sensor are respectively connected with the multi-way change-over switch, the self-correcting circuit and the peripheral circuit;
the self-correcting circuit is used for calibrating the environment sensor and the differential pressure sensor;
the peripheral circuit is used for connecting a power supply module (240) to supply power to the environment sensor and the differential pressure sensor.
4. The small-scale smart device for pulmonary function detection based on coupled interaction of claim 3, wherein: the high-frequency acquisition chip receives the environmental data and the pressure difference change data and calculates the lung ventilation information and the lung capacity information in real time according to the environmental data and the pressure difference change data.
5. The small-scale smart device for pulmonary function detection based on coupled interaction of claim 4, wherein: the measurement algorithm of the high-frequency acquisition chip comprises the following steps:
s1, acquiring environmental data and differential pressure change data measured by an environmental sensor and a differential pressure sensor;
s2, carrying out interference removal processing on the environmental data and the pressure difference change data;
and S3, acquiring lung ventilation information and vital capacity information in the measurement process.
6. The small form factor smart device for lung function detection based on coupled interaction of claim 5, wherein: the interference removing processing step in the S2 is as follows:
s2.1, carrying out small filtering and smoothing on the differential pressure change data, and removing baseline drift by using a polynomial fitting method to obtain differential pressure change parameters;
s2.2, calculating a threshold value and a slope of the amplitude change of the data obtained in the S2.1, and extracting breathing parameters of the human body;
s2.3, subtracting the pressure difference change parameter from the breathing parameter, and smoothing to obtain the pressure difference in the monitoring process;
s2.4, acquiring environmental parameters according to the environmental data, and performing environmental compensation and reduction on the respiratory gas;
and S2.5, calculating lung ventilation information and vital capacity information.
7. The small-scale smart device for pulmonary function detection based on coupled interaction of claim 6, wherein: and S2.4, the environmental parameters comprise a temperature parameter, a humidity parameter and an environmental pressure parameter of the current environment.
8. The small form factor smart device for pulmonary function detection based on coupled interaction of claim 1, wherein: the air flow channel (110) comprises an air inlet end and an air outlet end, the air inlet end collects the air flow blown out by the mouth part and is connected with the air outlet end to form an air flow path for air to flow in and out during breathing.
9. The small form factor smart device for lung function detection based on coupled interaction of claim 8, wherein: the air flow channel (110) penetrates through the detection assembly shell (120) and is in plug fit with the detection assembly shell.
10. The small form factor smart device for pulmonary function detection based on coupled interaction of claim 9, wherein: the bottom of the detection component shell (120) is provided with a handle (130), the handle (130) is longitudinally provided with a plurality of annular grooves, and the bottom of the handle (130) inclines towards the air outlet end.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150164373A1 (en) * | 2012-06-13 | 2015-06-18 | The Regents Of The University Of California | Personal lung function monitoring device capable of exhaled breath analysis |
| CN106361343A (en) * | 2016-08-31 | 2017-02-01 | 王未来 | Intelligent peak flow meter and controlled use method |
| US20170270260A1 (en) * | 2013-10-31 | 2017-09-21 | Knox Medical Diagnostics | Systems and methods for monitoring respiratory function |
| WO2017161090A1 (en) * | 2016-03-18 | 2017-09-21 | MySpirometer LLC | Barometric pressure sensor spirometer |
| US20190183383A1 (en) * | 2017-12-15 | 2019-06-20 | Respiratory Motion, Inc. | Devices and methods of calculating and displaying continuously monitored tidal breathing flow-volume loops (tbfvl) obtained by non-invasive impedance-based respiratory volume monitoring |
| US20190254534A1 (en) * | 2016-10-20 | 2019-08-22 | Healthup Sp. Z O.O. | Portable spirometer |
| CN112022123A (en) * | 2020-09-29 | 2020-12-04 | 上海交通大学 | Exercise lung function measuring system based on thoracic impedance |
| US20220280040A1 (en) * | 2019-07-31 | 2022-09-08 | Resmed Corp. | System and method for continuous monitoring of respiratory ailments |
-
2022
- 2022-09-20 CN CN202211146145.3A patent/CN115211838A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150164373A1 (en) * | 2012-06-13 | 2015-06-18 | The Regents Of The University Of California | Personal lung function monitoring device capable of exhaled breath analysis |
| US20170270260A1 (en) * | 2013-10-31 | 2017-09-21 | Knox Medical Diagnostics | Systems and methods for monitoring respiratory function |
| WO2017161090A1 (en) * | 2016-03-18 | 2017-09-21 | MySpirometer LLC | Barometric pressure sensor spirometer |
| CN106361343A (en) * | 2016-08-31 | 2017-02-01 | 王未来 | Intelligent peak flow meter and controlled use method |
| US20190254534A1 (en) * | 2016-10-20 | 2019-08-22 | Healthup Sp. Z O.O. | Portable spirometer |
| US20190183383A1 (en) * | 2017-12-15 | 2019-06-20 | Respiratory Motion, Inc. | Devices and methods of calculating and displaying continuously monitored tidal breathing flow-volume loops (tbfvl) obtained by non-invasive impedance-based respiratory volume monitoring |
| US20220280040A1 (en) * | 2019-07-31 | 2022-09-08 | Resmed Corp. | System and method for continuous monitoring of respiratory ailments |
| CN112022123A (en) * | 2020-09-29 | 2020-12-04 | 上海交通大学 | Exercise lung function measuring system based on thoracic impedance |
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