CN111449640A

CN111449640A - Toilet seat with identity recognition and health detection functions

Info

Publication number: CN111449640A
Application number: CN202010266876.6A
Authority: CN
Inventors: 陈异; 汪洋; 龚于杰
Original assignee: Jiaxing Aidi Technology Co ltd
Current assignee: Jiaxing Wenxin Intelligent Technology Co ltd
Priority date: 2019-09-30
Filing date: 2019-09-30
Publication date: 2020-07-28
Also published as: CN111449639A; CN110693455A; CN111436919A; CN111436919B

Abstract

A toilet seat with identity recognition and health detection functions. The invention discloses a toilet seat with health detection function, comprising: a) the intelligent detection unit is used for acquiring human physiological parameters; b) the detection data analysis unit is used for analyzing the acquired physiological parameter data to obtain the health state information of the human body; further comprising: and the identity recognition unit recognizes the user according to the human physiological parameters acquired by the intelligent detection unit. The invention can integrate health detection into daily life without any intention, can simultaneously carry out comprehensive human body physiological parameter acquisition and analysis, realizes the identity recognition of a user by combining an identity recognition unit, and provides big data support for the accurate relationship establishment of the physiological data and diseases/health.

Description

Toilet seat with identity recognition and health detection functions

The application of the invention is a divisional application, and the original application number is as follows: CN201910942905.3, filed as follows: 2019.09.30, title of the invention: a toilet seat with health detection function.

Technical Field

The invention relates to the field of health detection equipment, in particular to a toilet seat with functions of identity recognition and health detection.

Background

With the progress of society, people pay more attention to their health status, including body weight, body fat, heart, gastrointestinal health, and the like. In order to facilitate measurements at home at any time, various health detection devices and detection methods are available on the market.

Conventional health status measuring devices (e.g., chinese patent 002393920.4 and chinese patent 200610144947.5) require deliberate measurement, which is inconvenient to use and may forget to measure when measurement is needed. The prior art urine sample detection sampling and analysis for health detection (chinese patent application 201810373804.4) using an intelligent toilet is very complex, the equipment cost is high, the consumable items need to be replaced regularly, furthermore, the equipment cannot perform common analysis of body weight, body fat and the like, and cannot perform cloud unified management on data, and functions of data sharing, mining analysis and the like are realized.

An example of a method for Gastrointestinal health detection is the Analysis of odors of excreta/stool, and the determination of Gastrointestinal health status based on the odor Analysis, references Analysis of human Organic Compounds of bacterial Organic in bacterial Organic chemical Diseases (WA L TON C, FOW L ER D P, TURNER C, etc. Inflummatter Bowel Diseases,2013,19(10): 2069. 2078) indicate that various Gastrointestinal Diseases of the human body and Volatile Organic Compounds (VOCs) detected above the excreta are closely related.

Accordingly, the prior art is deficient and needs improvement.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provide a toilet seat with functions of identity recognition and health detection.

According to an embodiment of the present invention, a toilet seat with identification and health detection functions includes:

a) the intelligent detection unit is used for acquiring human physiological parameters;

b) the detection data analysis unit is used for analyzing the acquired physiological parameter data to obtain the health state information of the human body;

it is characterized by also comprising: and the identity recognition unit recognizes the user according to the human physiological parameters acquired by the intelligent detection unit.

Further, the intelligent detection unit comprises one or more of the following modules:

a cardiovascular health monitoring module;

a constitution detection module;

and a time detection module.

Further, the cardiovascular health monitoring module is used for acquiring one or more data of electrocardiogram, ballistocardiogram, blood oxygen, pulse wave and blood pressure.

Further, the physique detection module is used for acquiring the weight or/and the human body components.

Further, the human body components are one or more of fat content, protein content, bone content, water content and muscle content.

Further, the detection data analysis unit calculates the comprehensive health state according to the data acquired by the cardiovascular health monitoring module, the physique detection module and the time detection module.

Further, the toilet seat further comprises a data transmission unit, and the data transmission unit is used for transmitting the human body physiological parameter data or the health state information acquired by the toilet seat to the cloud server, and analyzing and evaluating the health state and/or sharing the data through the cloud server.

Further, the device management subsystem of the cloud server is responsible for device online/offline/use state management of the toilet seat; and the data storage subsystem is matched with the data storage subsystem to complete the storage and data processing of the human physiological parameter data of the toilet seat.

Further, the data analysis subsystem carries out digital signal filtering processing on the stored data, interference identification of big data machine learning, abnormal heart rate analysis of a neural network and cardiovascular information analysis, and carries out comprehensive operation on various physiological parameters to give a comprehensive human health assessment report.

Further, the toilet seat further comprises a body display unit for displaying and indicating the working state of the toilet seat, the intelligent detection unit is electrically connected with the detection data analysis unit and the identity recognition unit respectively, and the detection data analysis unit is electrically connected with the data transmission unit and the local display unit respectively.

By adopting the scheme, the invention solves the problems that the existing family health detection method is inconvenient to use and no comprehensive analysis and detection method and equipment for physical, cardiovascular and gastrointestinal health exist. The health detection system can integrate health detection into daily life without being carried out intentionally, can carry out comprehensive analysis on physical, cardiovascular and gastrointestinal health, and realizes storage, analysis and sharing of data at the cloud end through the Internet of things technology. The technology and the equipment provided by the invention can conveniently collect a large amount of data related to physique, cardiovascular health and gastrointestinal health, and further provide big data support for establishing accurate relationship between the physiological data and diseases/health.

Drawings

FIG. 1 is a block diagram of structural connections of the toilet seat of the present invention.

Fig. 2 is a schematic diagram of an embodiment of the gastrointestinal health detection module.

Fig. 3 is a schematic diagram of another embodiment of the gastrointestinal health detection module.

FIG. 4 is a schematic diagram of an embodiment of electrocardiographic measurement.

FIG. 5 is a schematic diagram of an analog front-end process for obtaining a ballistocardiogram signal according to an embodiment.

Fig. 6 is a schematic diagram of a physique test according to an embodiment.

FIG. 7 is a first structural view of an embodiment of a toilet seat.

FIG. 8 is a schematic structural view of a toilet seat according to a second embodiment.

Detailed Description

The invention is described in detail below with reference to the figures and the specific embodiments.

Referring to fig. 1, the present invention provides a toilet seat with health detection function, comprising: a) the intelligent detection unit 1 is used for acquiring human physiological parameters; b) the detection data analysis unit 2 analyzes the acquired physiological parameter data to obtain the health state information of the human body. The intelligent detection unit 1 comprises a gastrointestinal health detection module 11, and the detection data analysis unit 2 can analyze the gastrointestinal health according to the information acquired by the gastrointestinal health detection module 11. The gastrointestinal health detection module 11 comprises a gas sensor, and acquires human physiological parameter data by acquiring odor/gas released by human excrement. The number of the gas sensors can be multiple, concentration information of multiple gases/odors in excrement can be acquired, and the acquired concentration information of the multiple gases/odors is integrated to obtain gastrointestinal health state information. In this embodiment, the intelligent detection unit 1 further includes: a cardiovascular health monitoring module 12, a physical quality detection module 13 and a time detection module 14. The cardiovascular health monitoring module 12 is used for acquiring one or more data of electrocardiogram, ballistocardiogram, blood oxygen, pulse wave and blood pressure. The physique detection module 13 is used for acquiring the weight or/and the human body components. The time detection module 14 is used for detecting the time when the user uses the toilet seat. The toilet seat further comprises an identification unit 3 and a data transfer unit 5. The identity recognition unit 3 recognizes the user according to the human physiological parameters acquired by the intelligent detection unit. The data transmission unit 5 is used for transmitting the human body physiological parameter data or the health state information acquired by the toilet seat to the cloud server, and analyzing and evaluating the health state and/or sharing the data through the cloud server. The toilet seat may further include a body display unit for displaying and indicating an operation state of the toilet seat. The intelligent detection unit 1 is respectively electrically connected with the detection data analysis unit 2 and the identity recognition unit 3, and the detection data analysis unit 2 is respectively electrically connected with the data transmission unit 5 and the local display unit.

The gastrointestinal health detection module 11 may select a VOCs gas sensor, please refer to fig. 2, the VOCs sensor in fig. 2 is a semiconductor VOC sensor (may be selected as MP502), and can detect the change of the VOCs gas concentration, and when the VOCs gas concentration changes, the resistor R changes_sAlso varies with the resistance R_LSampling and converting into a counter voltage V_LMeasurement is carried out, V_LAfter analog-to-digital conversion (AD), the data is transmitted to a processor (MCU) for processing and analysis, or the step of analog-to-digital conversion can be completed in the MCU. With continued reference to fig. 2, to improve the sensitivity of the detection, the sensing element of the semiconductor VOC sensor may be heated, and in the figure, a heating element is disposed between

pins

1 and 2 of the VOCs sensor device, and a voltage V is applied_HAnd then generates heat. In order to further improve the accuracy of measurement and eliminate the influence of environmental temperature change, temperature feedback control can be added to the heating power, so that the sensor works in a relatively stable temperature range.

VOCs detection may also use other techniques, such as Photo Ionization Detectors (PID) or electrochemical sensors. The gas type of surveying can be changed into other gases such as methane gas, ammonia, and general gas sensor all can respond to multiple gas in fact, consequently will can obtain more apparent differentiation effect, and better method is to use the gas sensor of multiple difference, obtains a plurality of detection parameters, establishes relevant characteristic and carries out the analysis, perhaps further carries out the analysis through machine learning or artificial intelligence.

Since the gas concentration detected by the sensor is greatly influenced by factors such as the detection position, one or more other gas sensors can be added for detecting the relative concentration, and the influence of inaccurate absolute concentration detection is eliminated. Alternatively, when a plurality of sensors are used, the data detected by the plurality of sensors can be directly analyzed, and the detection accuracy can be further improved by using artificial intelligence means such as machine learning and deep learning. Referring to fig. 3, fig. 3 shows an implementation of two gas sensor acquisition, which measures both VOCs and CH4 (methane) gas concentrations. The sensors are simplified into resistors R0 and R1 (in practice, a built-in heating unit may exist, and the resistance value is also changed), an analog-to-digital converter (AD) is provided with two analog voltage acquisition ports AIN0 and AIN1, voltage U0 and U1 of the voltage of R0 and R1 to ground are measured respectively, and the measurement result is transmitted to the MCU for processing.

With continued reference to FIG. 3, the power supply voltage and R are input from VCC_LFor the selected resistance values, both are known, so the response of the sensor can be calculated using the following equation:

since the values of R0 and R1 vary with the corresponding gas concentration, the corresponding gas concentration can be obtained from the concentration curves obtained from the previous measurements. According to the gas concentrations of the two gases, the gastrointestinal health condition can be reflected more accurately. In actual implementation, the ratio of the concentrations of the two gases or the proportion of the concentration of the VOCs in the total concentration of the two gases can be taken as an evaluation basis, the value is normal within a certain range, different individuals have differences, and the analysis of the variation trend can be carried out through long-time data recording.

With continued reference to FIG. 3, the gas composition ratios can be approximated as constant during diffusion of the diffusing gas, and thus the effect of gas diffusion (measurement location) can be eliminated by calculating the ratio of the two gas concentrations, when the concentrations are proportional to the sensor sensitivity resistance, the ratio α of the sensor resistance can be used as the basis for the determination:

in fact, the resistance of some sensors is not 0 when the gas concentration is 0, so the influence of the initial resistance R needs to be considered. The above equation becomes:

in the above formula, R0 and R1 can be obtained by testing in advance and are constants independent of the gas concentration. In addition, when actually detecting the gas concentration, the concentration change is a process, and a peak value within a period of time or other statistical indexes (such as a mean value) can be used as a detection index.

The cardiovascular health monitoring module 12 of the present invention may detect parameters such as Electrocardiogram (ECG), Ballistocardiogram (BCG), blood oxygen, pulse wave, blood pressure, etc. Referring to fig. 4, fig. 4 is a schematic diagram of an embodiment of electrocardiographic measurement, wherein two thighs that are easily contacted by a human body when the human body sits on a toilet are selected as measurement positions, and a special limb lead (formed by a right leg electrode and a left leg electrode in the figure) is approximately formed. Because the electrocardiosignal of the thigh part is weaker, the amplification gain needs to be improved, and the interference is reduced by adopting right leg drive (feedback drive in the figure), and the position of the right leg drive can be arranged near the right leg or left leg electrode or directly overlapped with the right leg or left leg electrode. In order to further improve the signal-to-noise ratio, the effective bandwidth of the filter is set to be narrower, the effective bandwidth only comprises a frequency region with high electrocardiosignal intensity, the noise of other frequency regions is suppressed, the high-frequency cut-off frequency can be set to be lower than 30Hz, and the band-pass range of the filter is 0.5Hz to 29Hz (3dB bandwidth). The electrocardiosignals can further obtain signals such as heart rate, heart rate variation, respiration and the like.

The invention comprises a function of measuring body weight, wherein the sensor for measuring body weight is essentially a force measurement, so the heart impulse diagram can be measured by the body weight sensor, only a direct current component (corresponding to body weight) needs to be eliminated in circuit design, and weak change of body weight is collected, in order to ensure the extraction of the heart impulse diagram, the sampling frequency of the body weight Signal needs to be ensured to be higher than twice of the highest frequency (generally 40Hz) of the heart impulse Signal needing to be processed, please refer to fig. 5, fig. 5 is an analog front end processing schematic diagram of the heart impulse Signal, Signal + and Signal are output signals of a weighing sensor, a pre-amplification circuit consisting of A1 and A2 outputs an amplified differential Signal, a high-pass filter circuit (designed to be about 1 Hz) consisting of an RC is used for filtering the direct current component containing the body weight Signal, a second amplification is carried out on the Signal by an amplifier B, a low-pass filter L can obtain a waveform containing the heart impulse diagram, a subsequent waveform containing the heart impulse diagram can be obtained, the waveform can be further processed by the waveform, and the heart impulse Signal can be directly calculated according to the change of the heart rate measurement.

Blood oxygen pulse wave monitoring can be carried out through photoelectric sensor, generally adopts red light and infrared light combination to measure blood oxygen measurement. For the thigh, etc., it is suitable to use a reflectometry measurement, where green light can be sampled for pulse wave measurement (PPG) when the reflected signal is weak. Blood oxygen and pulse wave measurement methods are well established and Integrated device solutions, such as MAX30101 devices from american Integrated Products (Inc.) may be used to construct the measurement circuit. Based on the result of the pulse wave measurement, a heart rate signal may also be extracted. Further measurement of blood pressure can be performed by a combination of PPG and ECG or BCG measurements.

The constitution detecting module 13 of the present invention can be used for measuring weight, fat content, protein content, bone content, water content, muscle content, etc., and can also be used for measuring and calculating body weight index (also called body mass index, BMI), etc. the body weight detection can adopt 4 individual weight sensors (generally adopting a deformable structure and a strain sensor with special design, the structure is pulled at one side and pressed at one side when bearing gravity, respectively forming positive strain and negative strain), so as to form a full-bridge measuring circuit, of course, a single or two weight sensors can be used for measuring, corresponding structure design is needed, the detection of components such as fat content, etc. can sample a biological impedance analysis method (BIA), the calculation and analysis are carried out by testing impedance values of a human body under multiple frequencies at different measuring positions, etc. when calculating components such as fat content, etc., height, age, etc. which can be set as needed by a user, the constitution of the measuring circuit can use AN integrated constitution measuring chip, such as BH3636 TEK company's, please refer to F662540, fig. 6, in the drawing, AN 2 and AN 06, the weight sensors are connected, a plurality of impedance measuring electrodes are connected to a measuring voltage acquisition and a plurality of signals, a signal acquisition method can be carried out by a signal acquisition and a corresponding to a measuring voltage acquisition method (FVR L) based on a signal acquisition and a signal acquisition method of a signal, a signal which can be carried out by a 36HO L and a signal acquisition and a.

The time detecting module 14 of the present invention can detect the time when the user uses the toilet, judge the start time T1 and the end time T2 by setting a suitable trigger condition, and determine the time when the user uses the toilet by calculating the difference Δ T between the end time and the start time, which is T2-T1. The triggering condition may be triggered according to body weight, and is considered as a starting time when the body weight sensor detects body weight exceeding a certain threshold value, and is considered as an ending time when the body weight sensor detects body weight below the certain threshold value. The trigger condition may also be triggered by a heart rate detection result, which is considered a start time when a heart rate is detected and an end time when a heart rate is not detected.

The gastrointestinal health, cardiovascular health, physique, time and other data can be integrated to give comprehensive health assessment analysis. For example, a simple data integration method performs normal project statistics, calculates the number of normal projects in the total statistical projects, and assigns a certain weight:

let X_iIs the statistical result of some index (normally 1, abnormally 0), w_iFor the weight assigned to the index, the health index H is calculated as follows:

H＝∑X_i·w_i

the value of H ranges from 0 to 1, with 1 indicating complete health.

The following table is a practical parameter setting table:

sequence number (i)	Statistical terms (X)_i)	Normal range	Calculating the weight (w)_i)
				1	Heart rate	50～100bpm	0.3
2	VOCs	0.3～3ppm	0.3
				3	BMI	18.5～23.9	0.2
4	Duration of stool	0 to 10 minutes	0.1
				5	Fat content	10％～25％	0.1

For example: when a person's heart rate is 70bpm, VOCs is 0.5ppm, BMI is 28, stool duration is 8 minutes, and fat content is 15%, X can be obtained according to the above table₁～X₅Respectively 1, 1, 0, 1, 1, a health index H of 0.8 can be calculated accordingly. All the data can be recorded and analyzed for a long period to form a statistical report. All the data can be recorded and analyzed for a long period to form a statistical report.

The more general state of health and the relationship between the parameters can be expressed by the following expression:

H＝f(X)，X＝(X₁，...，X_n)；

in the formula, n is the number of the index items, and f is a functional relation, namely the health state is obtained by the operation of n indexes through the function f. The determination of the functional relationship f may be based on existing experience, or may be based on certain data obtained by machine learning or artificial intelligence.

Referring to fig. 7 and 8 in combination, fig. 7 and 8 are schematic views of an alternative structure of the toilet seat, in which 100 is the toilet seat, 200 is the seat cover, and 300 is the intelligent processing and display module. The toilet seat 100 is provided with electrode plates 101-104 which are used as electrodes for 4-electrode constitution measurement. Meanwhile, 101 or/and 102 forms one lead of the electrocardiogram measurement, is connected to the left leg electrode, 103 or/and 104 forms the other lead of the electrocardiogram measurement, is connected to the right leg electrode, and any one of 101-104 is used as the right leg drive of the electrocardiogram measurement and is connected to the drive electrode. The common mode rejection ratio can be improved by adopting the right leg drive, and the right leg drive is not required. 105-108 are weighing sensors, and 4 sensors form a measuring full bridge. 109 is an air suction pipe which is communicated with the air sensor, so that the sensor is prevented from being too close to the closestool and easy to be polluted, and an air pump can be used for sucking air for improving the response speed and the sensitivity. Optionally, a large-flow air pump is configured, so that air can be rapidly sucked through the 109 air suction pipe to eliminate odor, the flow rate (speed) of the air pump can be adjusted according to the gas concentration detected by the odor sensor, and the sucked odor can be discharged outdoors or connected with an odor decomposition device (such as a cavity with an ultraviolet lamp tube inside to decompose organic matters).

The electrocardio-electrode and the physique measuring electrode can be arranged separately without sharing. The physical fitness measurement may also be performed using two electrodes. The weighing sensors can be used for 1-3, and weighing calculation of the sensors is only required to be distributed according to the supporting design of the toilet seat on the body weight.

The toilet seat of the present invention also employs one-key configuration data for networking. For example, the scheme of one-key configuration of wifi networks such as TICC3000, MarvellEasy-Connect, ESP8266 and the like is mature, in the scheme, the toilet seat works in a wifi state, the chip dynamically monitors the broadcasting packet of wifi information configured intelligently, and the distribution network protocol analysis and the security guarantee are carried out according to the self-defined protocol so that the toilet seat is connected to the Internet.

Because the human physiological parameters monitored by the scheme are more, the data volume is larger, for example, the electrocardio data is taken as an example, if the sampling is carried out at 500Hz, the data is up to 500 × 2Byte per second, and the communication bandwidth of the network overhead reaches more than 12 kbps. The invention adopts a data compression scheme to compress the sampling data and then transmit and store the data, and a lossless or lossy compression method can also be used, such as Huffman coding, transform coding and the like. Higher compression ratios can be achieved using techniques similar to speech compression coding, such as code-excited linear prediction coding.

The toilet seat may also transmit data to a cloud server. And various human physiological parameters acquired by the toilet seat are sent to the cloud server, and the human health is comprehensively evaluated through signal processing and related core algorithms. The equipment management subsystem of the cloud server is responsible for the equipment online/offline/use state management of the toilet seat; the data storage subsystem is matched with the data storage subsystem to complete storage and data processing of electrocardio/blood oxygen/physique/intestines and stomach and other data of the toilet seat; due to the limited computing capability of the MCU, the data analysis subsystem can perform higher-level digital signal filtering processing, interference identification of big data machine learning, abnormal heart rate analysis of a neural network, cardiovascular information analysis and the like to perform comprehensive operation on various physiological parameters to give a comprehensive human health assessment report. The equipment management and the gateway subsystem are matched to complete the service publishing and service subscribing capacity of the Internet of things, and a tablet computer can be deployed in a washroom to check real-time or historical physiological health data so as to achieve central health status or proper diet or exercise regulation of the health status of the washroom.

In conclusion, the invention solves the problems that the existing family health detection method is inconvenient to use and no comprehensive analysis and detection method and equipment for physical, cardiovascular and gastrointestinal health exist. The health detection system can integrate health detection into daily life without being carried out intentionally, can carry out comprehensive analysis on physical, cardiovascular and gastrointestinal health, and realizes storage, analysis and sharing of data at the cloud end through the Internet of things technology. The technology and the equipment provided by the invention can conveniently collect a large amount of data related to physique, cardiovascular health and gastrointestinal health, and further provide big data support for establishing accurate relationship between the physiological data and diseases/health.

The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A toilet seat with identification and health detection, comprising:

2. A toilet seat according to claim 1, wherein the smart detection unit comprises one or more of the following modules:

a cardiovascular health monitoring module;

a constitution detection module;

and a time detection module.

3. The toilet seat of claim 2, wherein the cardiovascular health monitoring module is configured to acquire one or more of electrocardiogram, ballistocardiogram, blood oxygen, pulse wave, and blood pressure.

4. The toilet seat according to claim 2, wherein the physique detection module is used for acquiring body weight or/and body composition.

5. A toilet seat according to claim 4, wherein the body composition is one or more of fat content, protein content, bone content, water content, muscle content.

6. The toilet seat according to claim 2, wherein the detected data analysis unit calculates the integrated health status based on data obtained by the cardiovascular health monitoring module, the physical fitness detection module, and the time detection module.

7. The toilet seat according to claim 1, further comprising a data transmission unit for transmitting the human physiological parameter data or health status information acquired by the toilet seat to a cloud server, and performing analysis and evaluation of health status and/or data sharing through the cloud server.

8. The toilet seat according to claim 7, wherein the device management subsystem of the cloud server is responsible for on-device/off-device/use status management of the toilet seat; and the data storage subsystem is matched with the data storage subsystem to complete the storage and data processing of the human physiological parameter data of the toilet seat.

9. The toilet seat according to claim 7, wherein the data analysis subsystem performs digital signal filtering processing on the stored data, interference recognition of big data machine learning, abnormal heart rate analysis of neural network, cardiovascular information analysis, and comprehensive operation on various physiological parameters to give a comprehensive evaluation report of human health.

10. The toilet seat according to claim 1, further comprising a body display unit for displaying and indicating the working status of the toilet seat, wherein the intelligent detection unit is electrically connected to the detection data analysis unit and the identification unit, respectively, and the detection data analysis unit is electrically connected to the data transmission unit and the local display unit, respectively.