CN114947780A - Hand-held physiological monitoring device - Google Patents

Hand-held physiological monitoring device Download PDF

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Publication number
CN114947780A
CN114947780A CN202210469538.1A CN202210469538A CN114947780A CN 114947780 A CN114947780 A CN 114947780A CN 202210469538 A CN202210469538 A CN 202210469538A CN 114947780 A CN114947780 A CN 114947780A
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China
Prior art keywords
palm
temperature
control unit
monitoring device
physiological monitoring
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CN202210469538.1A
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Chinese (zh)
Inventor
高立人
徐鹏翔
庄咏钧
尤建凯
赵筠
郑元福
李沛忱
袁凡匀
林佑民
陈罄兑
刁继甫
邱立纶
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Taipei University Of Technology Taiwan
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Taipei University Of Technology Taiwan
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Application filed by Taipei University Of Technology Taiwan filed Critical Taipei University Of Technology Taiwan
Priority to CN202210469538.1A priority Critical patent/CN114947780A/en
Publication of CN114947780A publication Critical patent/CN114947780A/en
Pending legal-status Critical Current

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • A61B5/02141Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A61B5/02427Details of sensor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A61B5/14552Details of sensors specially adapted therefor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • A61B5/6825Hand
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7285Specific aspects of physiological measurement analysis for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/0022Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
    • G01J5/0025Living bodies

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Animal Behavior & Ethology (AREA)
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  • Heart & Thoracic Surgery (AREA)
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  • Spectroscopy & Molecular Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Vascular Medicine (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

A handheld physiological monitoring device comprises a shell, a first temperature sensor, a second temperature sensor, a humidity sensor, a display unit and a control unit. When the palm of the user holds the holding part of the shell and the control unit receives a trigger signal, the control unit controls the second temperature sensor to measure for multiple times continuously according to the sampling time difference to obtain multiple palm temperatures, reads multiple environmental temperatures measured by the first temperature sensor and multiple environmental humidities measured by the humidity sensor, inputs the palm temperatures, the environmental temperatures and the environmental humidities into the neural network model to obtain the estimated body temperature of the user, and controls the display unit to display the estimated body temperature.

Description

Hand-held physiological monitoring device
Technical Field
The present invention relates to a physiological monitoring device, and more particularly, to a handheld physiological monitoring device capable of detecting a plurality of physiological data simultaneously.
Background
With the advancement of science and technology and the health emphasis of people, various wearable devices for monitoring physiological signals are also developed vigorously. Among them, the wearing device, such as a smart watch or a bracelet-like wearing device, can detect the heart rate and blood oxygen concentration of the wearer by using a Photoplethysmography (PPG) technique through a photo-volume sensor for detecting the position of the wrist (SPO 2). However, the electronic device of the smart watch is not easy to set and operate for the elderly user. In addition, the conventional smart watch cannot provide a function of measuring the body temperature of the wearer, or cannot provide a relatively accurate body temperature measurement result. Therefore, whether other physiological measurement or monitoring devices exist can have the functions of simple operation and body temperature measurement, and further, the integration and detection of other existing physiological signals become a problem to be solved.
Disclosure of Invention
The invention aims to provide a handheld physiological monitoring device which is simple to operate.
Therefore, the invention provides a holding type physiological monitoring device which is suitable for a user and comprises a shell, a first temperature sensor, a second temperature sensor, a humidity sensor, a display unit and a control unit.
The housing includes a grip portion adapted to be grasped by a palm of the user. The first temperature sensor is arranged on the shell and used for measuring the ambient temperature. The second temperature sensor is arranged on the holding part and used for measuring the palm temperature of the palm. The humidity sensor is arranged on the shell and used for measuring the environmental humidity. The display unit is arranged on the shell and used for displaying information.
The control unit is arranged in the shell, is electrically connected with the first temperature sensor, the second temperature sensor, the humidity sensor and the display unit, and stores a neural network model. When the palm of the user holds the holding part and the control unit receives a trigger signal, the control unit continuously reads the palm temperature measured by the second temperature sensor, the environment temperature measured by the first temperature sensor and the environment humidity measured by the humidity sensor for multiple times according to sampling time difference, and inputs the palm temperature, the environment temperature and the environment humidity into the neural network model to obtain the estimated body temperature of the user and controls the display unit to display the estimated body temperature.
In some embodiments, the handheld physiological monitoring device further comprises an input unit electrically connected to the control unit, wherein the input unit is adapted to be operated by the user to generate the trigger signal.
In some embodiments, the holding portion includes a curved surface located above the holding portion, and a second opening formed in the curved surface. The curved surface is suitable for the palm to adhere to, and the second temperature sensor is a sensing element for measuring body temperature to convert the body temperature into an electric signal and is arranged close to the second opening.
In some embodiments, the housing further includes a base portion extending from below the grip portion, the base portion includes a first opening, and the first temperature sensor and the humidity sensor are disposed adjacent to the first opening such that the palm does not cover the first opening when the palm is attached to the curved surface of the grip portion.
In some embodiments, the base portion further comprises a bottom surface, and a third opening is formed in the bottom surface. The input unit is an input key arranged on the bottom surface, and the display unit is a screen arranged on the third opening.
In some embodiments, the handheld physiological monitoring device further comprises a photoplethysmographic sensor electrically connected to the control unit and disposed adjacent to the second aperture. When the palm of the user holds the holding part and the control unit receives the trigger signal from the input unit, the control unit controls the photoplethysmographic sensor to emit red incident light and infrared incident light to the palm and receives two corresponding reflected lights to generate a first photoplethysmographic signal and a second photoplethysmographic signal, or also controls the photoplethysmographic sensor to emit green incident light to the palm and receives another corresponding reflected light to generate a third photoplethysmographic signal. The control unit calculates the heart rate, blood pressure and blood oxygen concentration of the user according to the first photoplethysmogram signal and the second photoplethysmogram signal, or calculates the blood oxygen concentration of the user according to the first photoplethysmogram signal and the second photoplethysmogram signal and calculates the heart rate and the blood pressure according to the third photoplethysmogram signal.
In some embodiments, the handheld physiological monitor device further comprises a communication unit electrically connected to the control unit, wherein the communication unit supports wireless communication transmission technology, and the control unit obtains the estimated body temperature and then transmits the estimated body temperature, the heart rate, and the blood oxygen concentration to the electronic device of the user through the communication unit.
In other embodiments, the neural network-like model is a supervised machine learning model, and is trained in advance by the known and corresponding palm temperature, the ambient humidity, and the plurality of actual body temperatures.
The invention has the beneficial effects that: when a user holds the holding part by a palm and the control unit receives the trigger signal, the control unit can input the palm temperature, the ambient temperature and the ambient humidity into the neural network-like model to obtain the estimated body temperature of the user, and the estimated body temperature is displayed through the display unit, so that the user can know a measurement result immediately.
Drawings
FIG. 1 is a block diagram illustrating one embodiment of a handheld physiological monitoring device according to the present invention;
FIG. 2 is a perspective view illustrating a housing of the embodiment;
fig. 3 is a perspective view, which is an auxiliary view to fig. 2 illustrating a base portion of the housing of the embodiment; and
FIG. 4 is a diagram illustrating the architecture of a neural network model according to this embodiment.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
Before the present invention is described in detail, it should be noted that like elements are represented by like numerals throughout the following description.
Referring to fig. 1, one embodiment of the handheld physiological monitoring device of the present invention is adapted to a user and comprises a housing 9, a first temperature sensor 2, a second temperature sensor 3, a humidity sensor 4, a display unit 5, an input unit 6, a light volume sensor 7, a communication unit 8, and a control unit 1.
Referring to fig. 1,2 and 3, the housing 9 includes a holding portion 91 and a base portion 92 extending from a lower portion of the holding portion 91. The grip portion 91 is adapted to be gripped by a palm of the user. In the present embodiment, the holding portion 91 is similar to a sphere and includes a curved surface above, and a second opening 94 is formed on the curved surface, the curved surface is suitable for the palm to attach to hold the holding portion 91. The base portion 92 includes a first opening 93, a charging opening 96, a bottom surface, and a third opening 95 and an input opening 97 formed in the bottom surface.
The first temperature sensor 2 is, for example, a thermistor, and is disposed in the housing 9 and adjacent to the first opening 93, and is used for measuring an ambient temperature. The second temperature sensor 3 is an infrared temperature sensor, a thermistor, or a thermopile, for example, and is disposed on the holding portion 91 and adjacent to the second opening 94 for measuring a palm temperature of the palm. The humidity sensor 4 is, for example, a resistive or capacitive humidity sensor, and is disposed in the housing 9 and adjacent to the first opening 93, and is used for measuring an ambient humidity. The charging opening 96 is adapted to receive a cable (not shown) for charging the handheld physiological monitor device, such as a Type-C connector or a Micro-USB connector of a Universal Serial Bus (USB). In this embodiment, the first opening 93 is located on a side surface of the base portion 92, so that when the palm is attached to the curved surface of the holding portion 91, the palm does not cover the first opening 93. In other embodiments, the first opening 93 can be disposed at other positions of the base portion 92 (e.g., around the charging opening 96).
The input unit 6 is adapted to be operated by the user to generate a trigger signal. In this embodiment, the input unit 6 is an input key disposed on the bottom surface and disposed adjacent to the input opening 97, so that the user can press the input key through the input opening 97. The display unit 5 is disposed on the housing 9 and adjacent to the third opening 95, and is, for example, a screen and related driving circuits, so that the user can view the information displayed by the display unit 5 through the third opening 95. The screen is for example an Organic Light Emitting Diode (OLED) screen, or a liquid crystal screen (LCD) or the like. The communication unit 8 supports wireless communication transmission technology, such as bluetooth transmission protocol, but not limited thereto.
The photo-volume sensor 7 is disposed in the housing 9 adjacent to the second opening 94 and is configured to emit a red incident light, an infrared incident light, or a green incident light, and receive corresponding reflected light to generate a first photo-volume signal corresponding to red light, a second photo-volume signal corresponding to infrared light, or a third photo-volume signal corresponding to green light by photoplethysmography.
The control unit 1 is, for example, a microcontroller, a microprocessor, or a digital signal processor, and is disposed in the housing 9, and is electrically connected to the first temperature sensor 2, the second temperature sensor 3, the humidity sensor 4, the display unit 5, the input unit 6, the light volume sensor 7, and the communication unit 8, and stores a neural network model. The neural network model is a supervised machine learning model and is formed by training a plurality of known and respectively corresponding palm temperatures, a plurality of environment humidities and a plurality of actual body temperatures in advance. Each corresponding actual body temperature is obtained by measuring the user, for example, by an ear thermometer.
In more detail, since the body temperature of the human body is a constant temperature, that is, the body temperature does not change much in a short time, the neural network model is a time-series network including an algorithm with a memory function, such as: recurrent Neural Network (RNN), Long-Short Term Memory (LSTM), Gated Recurrent Unit (GRU). Referring again to fig. 4, fig. 4 illustrates the architecture of this type of neural network model, where x is the time step (Timestep), ys is the number of time series layer neurons, yF is the number of fully-connected layer neurons, n is the number of time series layers, and m is the number of fully-connected layers. The known characteristics of multiple strokes (i.e. time step) are used as the input of the neural network model, and each stroke includes a palm temperature, an ambient temperature, and an ambient humidity corresponding to the same time point. For example, the number of equal time steps is 5, the five characteristics are five groups [ the palm temperature, the ambient humidity ] of time 0, time t, time 2t, time 3t, time 4t in order, such as [35,28, 42% ], [35.1,28, 41% ], [35,28.1, 41% ] ], and the corresponding actual body temperature is 36.5, t is a sampling time difference, and the range is several milliseconds to seconds, such as 10 milliseconds. The time step, the number of neurons in the time sequence layer and the number of the neurons in the time sequence layer can be adjusted and trained according to the device performance. Then, training and converging are performed through a plurality of fully-connected layers, the number and the number of the neurons of the fully-connected layers are adjusted and trained according to the device performance, and the neural network model is trained.
When the user wants to use the handheld physiological monitor device, the user holds the holding portion 91 with the palm of the user, and operates the input unit 6 with the other hand (e.g., presses the input button), so that the control unit 1 receives the trigger signal, the control unit 1 continuously controls the palm temperature measured by the second temperature sensor 3, the environmental temperature measured by the first temperature sensor 2, and the environmental humidity measured by the humidity sensor 4 for multiple times with a sampling time difference to read or directly read the palm temperature, the environmental temperature, and the environmental humidity into the neural network model, so as to obtain an estimated body temperature of the user. The estimated body temperature is equivalent to the actual body temperature measured by the user through the ear thermometer.
In the following example, when the control unit 1 receives the trigger signal, the control unit 1 controls the second temperature sensor 3 to continuously measure five times according to the sampling time difference to obtain five corresponding temperature values first. And when the control unit 1 receives the trigger signal, the control unit 1 further reads five times of the environmental temperatures measured by the first temperature sensor 2 and five times of the environmental humidities measured by the humidity sensor 4 continuously with the sampling time difference, thereby generating five sets of [ the palm temperature, the environmental humidity ] at time 0, time t, time 2t, time 3t, time 4t as a data sequence to be input to the model.
In addition, when the control unit 1 receives the trigger signal, the control unit 1 further controls the photo volume sensor 7 to emit the red incident light and the infrared incident light to the palm, and receives the two corresponding reflected lights to generate the first photo volume signal and the second photo volume signal. The control unit 1 calculates a heart rate, a blood pressure (such as a systolic blood pressure value and a diastolic blood pressure value), and a blood oxygen concentration of the user according to the first photoplethysmographic signal and the second photoplethysmographic signal. Or, the control unit 1 further controls the photo-volume sensor 7 to emit the green incident light to the palm and receive another corresponding reflected light to generate the third volume signal, so that the control unit 1 calculates the blood oxygen concentration of the user according to the first photo-volume signal and the second photo-volume signal and calculates the heart rate and the blood pressure according to the third photo-volume signal.
After the control unit 1 obtains the estimated body temperature, the heart rate, the blood pressure and the blood oxygen concentration, the display unit 5 is controlled to display the estimated body temperature, the heart rate, the blood pressure and the blood oxygen concentration, and a connection line can be established with an electronic device of the user through the communication unit 8, so that the estimated body temperature, the heart rate, the blood pressure and the blood oxygen concentration are transmitted to the electronic device. For example, the electronic device is a smart phone, and has installed a corresponding Application Program (APP), so as to display or store the received various measurement results.
In summary, the user only needs to hold the holding portion 91 with the palm and operate the input unit 6 to trigger the simple operation of the trigger signal, so that the heart rate, the blood pressure, and the blood oxygen concentration calculated by the prior art algorithm can be obtained on the display unit 5, and the estimated body temperature that cannot be calculated by the prior art can be obtained, and various physiological measurement results can be obtained together, thereby achieving the purpose of the present invention.

Claims (8)

1. A hand-held physiological monitoring device adapted for use by a user, comprising: the handheld physiological monitoring device includes:
a housing including a grip portion adapted to be gripped by a palm of the user;
the first temperature sensor is arranged on the shell and used for measuring the ambient temperature;
the second temperature sensor is arranged on the holding part and used for measuring the palm temperature of the palm;
the humidity sensor is arranged on the shell and used for measuring the environmental humidity;
the display unit is arranged on the shell and used for displaying information; and
the control unit is arranged in the shell and electrically connected with the first temperature sensor, the second temperature sensor, the humidity sensor and the display unit, and stores a neural network model, when the palm of the user holds the holding part, and the control unit receives a trigger signal, the control unit continuously reads the palm temperature measured by the second temperature sensor, the environment temperature measured by the first temperature sensor and the environment humidity measured by the humidity sensor for multiple times by sampling time difference, and inputs the palm temperature, the environment temperature and the environment humidity into the neural network model to obtain the estimated body temperature of the user, and controls the display unit to display the estimated body temperature.
2. The handheld physiological monitoring device according to claim 1, wherein: the handheld physiological monitoring device further comprises an input unit electrically connected with the control unit, and the input unit is suitable for the user to operate so as to generate the trigger signal.
3. The handheld physiological monitoring device according to claim 2, wherein: the holding part comprises a curved surface positioned above and a second opening formed by the curved surface, the curved surface is suitable for being attached to the palm, and the second temperature sensor is a sensing element used for measuring body temperature and converting the body temperature into an electric signal and is arranged close to the second opening.
4. The handheld physiological monitoring device according to claim 3, wherein: the shell further comprises a base portion extending from the lower portion of the holding portion, the base portion comprises a first opening, and the first temperature sensor and the humidity sensor are arranged adjacent to the first opening, so that when the palm is attached to the curved surface of the holding portion, the palm does not shield the first opening.
5. The handheld physiological monitoring device according to claim 4, wherein: the base portion further comprises a bottom surface and a third opening formed in the bottom surface, the input unit is an input key arranged on the bottom surface, and the display unit is a screen arranged in the third opening.
6. The handheld physiological monitoring device according to claim 5, wherein: the handheld physiological monitoring device further comprises a photoplethysmographic sensor electrically connected with the control unit and arranged adjacent to the second opening, when the palm of the user holds the handheld part, and the control unit receives the trigger signal from the input unit, the control unit controls the photoplethysmographic sensor to emit red incident light and infrared incident light to the palm, and receives two corresponding reflected lights to generate a first photoplethysmographic signal and a second photoplethysmographic signal, or further controls the photoplethysmographic sensor to emit green incident light to the palm, and receives the corresponding reflected lights to generate a third photoplethysmographic signal, the control unit calculates the heart rate, blood pressure and blood oxygen concentration of the user according to the first photoplethysmographic signal and the second photoplethysmographic signal, or calculates the blood oxygen concentration of the user according to the first photoplethysmographic signal and the second photoplethysmographic signal, and calculates the blood oxygen concentration of the user according to the first photoplethysmographic signal and the second photoplethysmographic signal The third photoplethysmographic signal calculates the heart rate and the blood pressure.
7. The handheld physiological monitoring device according to claim 6, wherein: the handheld physiological monitoring device further comprises a communication unit electrically connected with the control unit, the communication unit supports a wireless communication transmission technology, and the control unit transmits the estimated body temperature, the heart rate, the blood pressure and the blood oxygen concentration to the electronic device of the user through the communication unit after acquiring the estimated body temperature.
8. The grip-type physiological monitoring device of claim 1, wherein: the neural network-like model is a supervised machine learning model and is trained in advance by the known and respectively corresponding palm temperature, the environment humidity and a plurality of actual body temperatures.
CN202210469538.1A 2022-04-28 2022-04-28 Hand-held physiological monitoring device Pending CN114947780A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210469538.1A CN114947780A (en) 2022-04-28 2022-04-28 Hand-held physiological monitoring device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210469538.1A CN114947780A (en) 2022-04-28 2022-04-28 Hand-held physiological monitoring device

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CN114947780A true CN114947780A (en) 2022-08-30

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