TW202341921A - Handheld physiological monitoring device - Google Patents

Abstract

A handheld physiological monitoring device includes a casing, a first temperature sensor, a second temperature sensor, a humidity sensor, a display unit, and a control unit. When a user holds a grip portion of the casing with one hand and the control unit receives a trigger signal, the control unit controls the second temperature sensor to measure a plurality of palm temperatures and reads a plurality of ambient temperatures measured by the first temperature sensor and reads a plurality of ambient humidity measured by the humidity sensor continuously with a sampling time difference. The control unit inputs a plurality of the palm temperature, the ambient temperature, and the ambient humidity into a neural network model to obtain an estimated body temperature of the user, and controls the display unit to display the estimated body temperature.

Description

Handheld physiological monitoring device

The present invention relates to a physiological monitoring device, in particular to a handheld physiological monitoring device that is simple to operate and detects multiple physiological data at the same time.

With the advancement of science and technology and people's emphasis on health, various wearable devices for monitoring physiological signals are also booming. Among them, wearable devices such as smart watches or similar bracelets can detect and obtain the wearer's heart rate by using photoplethysmography (PPG) technology through a photoplethysm sensor that detects the wrist position. and blood oxygen concentration (SPO2). However, for elderly users, the electronic device of this smart watch is not easy to set up and operate. In addition, existing smart watches cannot provide the function of measuring the wearer's body temperature, or cannot provide relatively accurate body temperature measurement results. Therefore, it has become a problem to be solved whether there are other physiological measurement or monitoring devices that can have the function of simple operation and measuring body temperature, and then integrate and detect other existing physiological signals.

Therefore, the object of the present invention is to provide a handheld physiological monitoring device that is simple to operate.

Therefore, the present invention provides a handheld physiological monitoring device, which is suitable for a user and includes a housing, a first temperature sensor, a second temperature sensor, a humidity sensor, and a display unit. , and a control unit.

The housing includes a holding portion adapted to be held by one hand of the user. The first temperature sensor is disposed on the housing and used to measure an ambient temperature. The second temperature sensor is disposed on the holding portion and used to measure a palm temperature of the palm. The humidity sensor is disposed on the housing and used to measure an environmental humidity. The display unit is arranged on the housing and used to display information.

The control unit is disposed in the housing and electrically connected to the first temperature sensor, the second temperature sensor, the humidity sensor, and the display unit, and stores a type of neural network model. When the user's palm grasps the holding part and the control unit receives a trigger signal, the control unit continuously reads the temperature measured by the second temperature sensor multiple times with a sampling time difference. The palm temperature, the ambient temperature measured by the first temperature sensor, and the ambient humidity measured by the humidity sensor, and the palm temperature, the ambient temperature, and the The environmental humidity is input into the neural network model to obtain an estimated body temperature of the user, and the display unit is controlled to display the estimated body temperature.

In some implementations, the handheld physiological monitoring device further includes 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, and a second opening formed in the curved surface. The curved surface is suitable for attaching to the palm. The second temperature sensor is a sensing element used to measure body temperature and convert it into an electrical signal, and is disposed adjacent to the second opening.

In some implementations, the housing further includes a base portion extending from below the holding portion, the base portion including a first opening, the first temperature sensor and the humidity sensor. The device is arranged adjacent to the first opening, so that when the palm is attached to the curved surface of the holding part, the palm will not cover the first opening.

In some embodiments, the base part further includes a bottom surface, and a third opening formed on the bottom surface. The input unit is an input button provided on the bottom surface, and the display unit is a screen provided on the third opening.

In some implementations, the handheld physiological monitoring device further includes a photovolume sensor electrically connected to the control unit and disposed adjacent to the second opening. Wherein, when the user's palm grasps the holding part and the control unit receives the trigger signal from the input unit, the control unit controls the photovolume sensor to emit a red incident light and an infrared ray. Incident light to the palm, and receive two corresponding reflected lights to generate a first light volume signal and a second light volume signal, or also control the light volume sensor to emit a green incident light to the palm, and receive The corresponding other reflected light generates a third light volume signal. The control unit calculates a heart rate, a blood pressure, and a blood oxygen concentration of the user based on the first light volume signal and the second light volume signal, or, based on the first light volume signal and the second light volume signal Calculate the blood oxygen concentration of the user and calculate the heart rate and blood pressure based on the third light volume signal.

In some implementations, the handheld physiological monitoring device further includes a communication unit electrically connected to the control unit, wherein the communication unit supports wireless communication transmission technology. After the control unit obtains the estimated body temperature, The communication unit transmits the estimated body temperature, the heart rate, and the blood oxygen concentration to an electronic device of the user.

In other implementations, the neural network model is a supervised machine learning model, and is processed in advance through known and corresponding palm temperatures, environmental temperatures, environmental humidity, and multiple actual body temperature for training.

The effect of the present invention is that as long as the user holds the holding part with his palm and the control unit receives the trigger signal, the control unit can input the palm temperature, the ambient temperature, and the ambient humidity. The neural network model obtains the estimated body temperature of the user, and displays the estimated body temperature through the display unit, so that the user can immediately know the measurement result.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are designated with the same numbering.

Referring to Figure 1, an embodiment of the handheld physiological monitoring device of the present invention is suitable for a user and includes a housing 9, a first temperature sensor 2, a second temperature sensor 3, and a humidity Sensor 4, a display unit 5, an input unit 6, a photovolume sensor 7, a communication unit 8, and a control unit 1.

Referring to FIGS. 1 , 2 , and 3 , the housing 9 includes a holding portion 91 and a base portion 92 extending from below the holding portion 91 . The holding portion 91 is suitable for being held by one hand of the user. In this embodiment, the gripping part 91 is similar to a sphere and includes a curved surface located above, and a second opening 94 formed in the curved surface. The curved surface is suitable for the palm to adhere and hold the gripping part 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 on the bottom surface.

The first temperature sensor 2 is, for example, a thermistor, and is disposed on the housing 9 and adjacent to the first opening 93, and is used to measure an ambient temperature. The second temperature sensor 3 is, for example, an infrared temperature sensor, a thermistor, or a thermopile or other element that can measure body temperature, and is disposed on the holding portion 91 and adjacent to the second opening 94 for use. To measure the palm temperature of the palm. The humidity sensor 4 is, for example, a resistive or capacitive humidity sensor, and is disposed on the housing 9 and adjacent to the first opening 93 , and is used to measure an environmental humidity. The charging opening 96 is suitable for a charging connector to provide a cable (not shown) for plugging in to charge the handheld physiological monitoring device. The charging connector is, for example, a Universal Serial Bus (USB). Type-C connector or Micro-USB connector. In this embodiment, the first opening 93 is located on the side of the base portion 92 , so that when the palm of the hand abuts the curved surface of the holding portion 91 , the first opening 93 will not be blocked by the palm. In other embodiments, the first opening 93 may also be provided at other positions of the base portion 92 (such as 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 button disposed on the bottom surface and is disposed adjacent to the input opening 97 so that the user can press the input button 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 circuit, so that the user can view the information displayed on the display unit 5 through the third opening 95 . information. The screen is, for example, an organic light-emitting diode (OLED) screen, a liquid crystal screen (LCD), or the like. The communication unit 8 supports wireless communication transmission technology, such as Bluetooth transmission protocol, but is not limited thereto.

The photovolume sensor 7 is disposed in the housing 9 and adjacent to the second opening 94, and is used to emit a red incident light, an infrared incident light, or a green incident light, and receive the corresponding reflected light to use light. The volume change mapping method generates a first photovolume signal corresponding to red light, a second photovolume signal corresponding to infrared light, or a third photovolume signal corresponding to green light.

The control unit 1 is, for example, a microcontroller, a microprocessor, or a digital signal processor, etc., and is disposed in the housing 9 and is electrically connected to the first temperature sensor 2 and the second temperature sensor. The 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 store a type of neural network model. This type of neural network model is a supervised machine learning model and is trained in advance through multiple palm temperatures, multiple ambient temperatures, multiple ambient temperatures, and multiple actual body temperatures that are known and correspond to each other. Each corresponding actual body temperature is obtained by measuring the user with an ear thermometer, for example.

In more detail, because the body temperature of the human body is a constant temperature, that is, the body temperature will not change much in a short period of time, therefore, this type of neural network model is a time series network containing an algorithm with a memory function. , such as: Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU). Refer to Figure 4 again, which illustrates the architecture of this type of neural network model, where x is the time step (Timestep), y _s is the number of neurons in the time series layer, and y _F is the number of neurons in the fully connected layer. number, n is the number of layers of the time series layer, and m is the number of layers of the fully connected layer. Known multiple stroke (i.e., time step) features are used as the input of this type of neural network model. Each stroke feature includes a palm temperature, an environmental temperature, and an environmental humidity corresponding to the same time point. For example, the number of time steps is 5 strokes, and the five stroke characteristics are in sequence five groups of time 0, time t, time 2t, time 3t, and time 4t [the palm temperature, the ambient temperature, and the ambient humidity ], such as [[35,28,42%], [35.1,28,42%], [35.1,28,42%], [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 between several milliseconds and seconds, such as 10 milliseconds. The time steps, the number of neurons in the time series layer, and the number of layers can be adjusted for training according to device performance. Then, multiple layers of fully connected layers are used for training and convergence. The number of fully connected layer neurons and the number of layers are also adjusted and trained according to the device performance, and this type of neural network model is trained.

When the user wants to use the handheld physiological monitoring device, the user holds the holding part 91 with the palm of the hand, and operates the input unit 6 with the other hand (such as pressing the input button), so that When the control unit 1 receives the trigger signal, the control unit 1 continuously controls to read or directly read the palm temperatures measured by the second temperature sensor 3 with a sampling time difference. The ambient temperatures measured by a temperature sensor 2 and the ambient humidity measured by the humidity sensor 4 are input to the palm temperature, the ambient temperature, and the ambient humidity. A neural network-like model is used to obtain an estimated body temperature of the user. The estimated body temperature is equivalent to the user's actual body temperature measured by the ear thermometer.

Following the previous example, when the control unit 1 receives the trigger signal, the control unit 1 controls the second temperature sensor 3 to measure five times continuously with the sampling time difference to first obtain the corresponding five temperature values. And when the control unit 1 receives the trigger signal, the control unit 1 also reads the five ambient temperatures measured by the first temperature sensor 2 and the humidity sensor five times in succession using the sampling time difference. 4 measured the five environmental humidity, and then generated five groups [the palm temperature, the environmental temperature, and the environmental humidity] at time 0, time t, time 2t, time 3t, and time 4t as the data sequence input to the model .

In addition, when the control unit 1 receives the trigger signal, the control unit 1 also controls the light volume sensor 7 to emit the red incident light and the infrared incident light to the palm, and receive the corresponding two reflected lights to The first light volume signal and the second light volume signal are generated. The control unit 1 calculates a heart rate, a blood pressure (such as systolic blood pressure value and diastolic blood pressure value), and a blood oxygen concentration of the user based on the first light volume signal and the second light volume signal. Alternatively, the control unit 1 also controls the light volume sensor 7 to emit the green incident light to the palm, and receive the corresponding other reflected light to generate the third volume signal, so that the control unit 1 responds to the first light The volume signal and the second light volume signal calculate the blood oxygen concentration of the user and the heart rate and the blood pressure are calculated based on the third light volume signal.

After the control unit 1 obtains the estimated body temperature, the heart rate, the blood pressure, and the blood oxygen concentration, in addition to controlling the display unit 5 to display the estimated body temperature, the heart rate, the blood pressure, and the blood oxygen concentration, it can also use The communication unit 8 establishes a connection with an electronic device of the user, and transmits the estimated body temperature, the heart rate, the blood pressure, and the blood oxygen concentration to the electronic device. For example, the electronic device is a smart phone and has a corresponding application program (Application Program, APP) installed, which can display or store various received measurement results.

To sum up, the user only needs to use the palm of his hand to hold the grip part 91 and operate the input unit 6 to trigger the trigger signal, and then he can learn about various conventional techniques on the display unit 5 The heart rate, blood pressure, and blood oxygen concentration calculated by the algorithm can further obtain the estimated body temperature that cannot be calculated by conventional techniques, and obtain multiple physiological measurement results at the same time, so the invention can indeed be achieved. Purpose.

However, the above are only examples of the present invention. They cannot be used to limit the scope of the present invention. All simple equivalent changes and modifications made based on the patent scope of the present invention and the contents of the patent specification are still within the scope of the present invention. within the scope covered by the patent of this invention.

1:Control unit 2: First temperature sensor 3: Second temperature sensor 4:Humidity sensor 5:Display unit 6:Input unit 7: Light volume sensor 8: Communication unit 9: Shell 91: Grip part 92: Base part 93:First opening 94:Second opening 95:Third opening 96:Charging opening 97:Input opening

Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, in which: Figure 1 is a block diagram illustrating an embodiment of the handheld physiological monitoring device of the present invention; Figure 2 is a perspective view illustrating a housing of this embodiment; Figure 3 is a perspective view assisting Figure 2 in explaining a base portion of the housing in this embodiment; and FIG. 4 is a schematic diagram illustrating the architecture of a type of neural network model in this embodiment.

1:Control unit

2: First temperature sensor

3: Second temperature sensor

4:Humidity sensor

5:Display unit

6:Input unit

7: Light volume sensor

8: Communication unit

Claims (8)

A handheld physiological monitoring device is suitable for a user and includes: A housing including a holding portion adapted to be held by one hand of the user; A first temperature sensor is provided on the housing and used to measure an ambient temperature; a second temperature sensor, disposed on the grip portion and used to measure a palm temperature of the palm; A humidity sensor is provided on the housing and used to measure an environmental humidity; A display unit is provided in the housing and used to display information; and A control unit is disposed in the housing and electrically connected to the first temperature sensor, the second temperature sensor, the humidity sensor, and the display unit, and stores a type of neural network model that when used When the person's palm grasps the grip part and the control unit receives a trigger signal, the control unit continuously reads the palm temperatures measured by the second temperature sensor multiple times with a sampling time difference. , the ambient temperatures measured by the first temperature sensor, and the ambient humidity measured by the humidity sensor, and the palm temperatures, the ambient temperatures, and the ambient humidity are input The neural network model obtains an estimated body temperature of the user and controls the display unit to display the estimated body temperature. The handheld physiological monitoring device as claimed in claim 1, further comprising 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. The handheld physiological monitoring device according to claim 2, wherein the holding part includes a curved surface located above and a second opening formed in the curved surface, the curved surface is suitable for the palm to be attached, and the third opening is formed on the curved surface. The second temperature sensor is a sensing element used to measure body temperature and convert it into an electrical signal, and is disposed adjacent to the second opening. The handheld physiological monitoring device according to claim 3, wherein the housing further includes a base portion extending from below the holding portion, the base portion including a first opening, the first temperature sensor The sensor and the humidity sensor are disposed adjacent to the first opening, so that when the palm is attached to the curved surface of the holding part, the palm will not cover the first opening. The handheld physiological monitoring device according to claim 4, wherein the base part further includes a bottom surface and a third opening formed on the bottom surface, and the input unit is an input button provided on the bottom surface, The display unit is a screen provided in the third opening. The handheld physiological monitoring device as claimed in claim 5, further comprising a photovolume sensor electrically connected to the control unit and disposed adjacent to the second opening, wherein when the user's palm holds the When the control unit receives the trigger signal from the input unit, the control unit controls the photovolume sensor to emit a red incident light and an infrared incident light to the palm, and receives the corresponding two Reflect light to generate a first light volume signal and a second light volume signal, or also control the light volume sensor to emit a green incident light to the palm, and receive the corresponding other reflected light to generate a third light Volume signal, the control unit calculates a heart rate, a blood pressure, and a blood oxygen concentration of the user based on the first light volume signal and the second light volume signal, or, based on the first light volume signal and the second light volume signal The light volume signal calculates the blood oxygen concentration of the user and calculates the heart rate and blood pressure based on the third light volume signal. The handheld physiological monitoring device as claimed in claim 6, further comprising a communication unit electrically connected to the control unit, wherein the communication unit supports wireless communication transmission technology. After the control unit obtains the estimated body temperature, it uses the communication The unit transmits the estimated body temperature, the heart rate, the blood pressure, and the blood oxygen concentration to an electronic device of the user. The handheld physiological monitoring device as described in claim 1, wherein the neural network model is a supervised machine learning model, and has been processed in advance through the known and corresponding palm temperatures, the ambient temperatures, and the Wait for the environmental humidity and multiple actual body temperatures for training.

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