CN110693455A

CN110693455A - Toilet seat with health detection function

Info

Publication number: CN110693455A
Application number: CN201910942905.3A
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: 2020-01-17
Also published as: CN111436919A; CN111449639A; CN111449640A; CN111436919B

Abstract

The invention discloses a toilet seat with health detection function, comprising: a) the intelligent detection unit is used for acquiring human physiological parameters; b) and the detection data analysis unit is used for analyzing the acquired physiological parameter data to obtain the health state information of the human body. The intelligent detection unit comprises an intelligent detection unit and a gastrointestinal health detection module, and the detection data analysis unit can analyze the gastrointestinal health according to the information acquired by the gastrointestinal health detection module. 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.

Description

Toilet seat with health detection function

Technical Field

The invention relates to the field of health detection equipment, in particular to a closestool seat ring with a health detection function.

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 measurement 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) by using an intelligent closestool is very complex, the equipment cost is high, consumables need to be replaced regularly, and the equipment cannot perform common analyses of body weight, body fat and the like, cannot perform cloud unified management on data, and realizes functions of data sharing, mining analysis and the like.

One example of a gastrointestinal health test method is to perform odor analysis of excrement/stool and determine gastrointestinal health status based on the odor analysis. The literature references Analysis of Gastrointestinal Organic Compounds of bacterial origin in bacterial Organic Diseases (WALTON C, FOWLER D P, TURER C, et al. Influmatory Bowen Diseases,2013,19(10): 2069-2078) show that there is a close correlation between Volatile Organic Compounds (VOCs) detected above various Gastrointestinal Diseases and excretions of humans. Reference analysis of the correlation of hydrogen methane levels in the colon cavity with irritable bowel syndrome symptoms (lipe. fujian university of traditional Chinese medicine, master's academic paper, 2016) indicates a positive correlation between the methane concentration in the colon cavity and constipation symptoms. Although there are related studies and reports indicating that gastrointestinal diseases are related to partial gas concentrations of human excreta/exhaust, there is a lack of a simple and effective method for detecting gastrointestinal disease-related gas, and particularly, there is no facility for conveniently analyzing the gastrointestinal health status of a human body at home.

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 a health detection function.

The technical scheme of the invention is as follows, the invention provides a toilet seat with a health detection function, which comprises: 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; the intelligent detection unit comprises a gastrointestinal health detection module, and the detection data analysis unit can analyze the gastrointestinal health according to the information acquired by the gastrointestinal health detection module.

Further, the gastrointestinal health detection module comprises a gas sensor, and human physiological parameter data is obtained by obtaining smell/gas released by human excreta.

Furthermore, the number of the gas sensors is 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 the health state information of the intestines and the stomach.

Further, the integration of the information of the concentrations of the plurality of gases/odors is embodied by calculating the ratio of the concentrations of the two gases or the related amount of the concentration ratio.

Further, the intelligent detection unit further comprises one or more of the following modules: a) a cardiovascular health monitoring module; b) a constitution detection module; c) 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; the physique detection module is used for acquiring the weight or/and the human body components.

Furthermore, the cardiovascular health monitoring module comprises a left leg electrode, a right leg electrode and a driving electrode which are arranged on the toilet seat to form an electrocardiogram measuring electrode; the physique detection module comprises two electrodes which are arranged at the contact position of the toilet seat and the right leg and the contact position of the left leg respectively to form a human body component measuring electrode; the electrocardiogram measuring electrode and the human body component measuring electrode are partially multiplexed.

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

Further, a weighing sensor is arranged at the bottom of the toilet seat and used for measuring the body weight of the body quality detection module, and the weighing sensor is simultaneously used as a sensor for acquiring a ballistocardiogram in the cardiovascular health monitoring module.

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

Further, the toilet seat further comprises an identity recognition unit, and the identity recognition unit recognizes the user according to the human physiological parameters acquired by the intelligent detection unit.

Further, the toilet seat further comprises a data transmission unit, wherein 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 the cloud server is used for analyzing and evaluating the health state and/or sharing the data.

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 the health detection into daily life without being carried out intentionally, can carry out comprehensive analysis on the health of physique, cardiovascular and intestines and stomach, and realizes the 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 the 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 1 comprises a gas sensor, and human physiological parameter data are obtained by obtaining smell/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 4 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 4 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 a heating element is shown between

pins

1 and 2 of the VOCs sensor device, applying a voltage V_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.

Because 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-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 VOCs in the total concentration of the two gases can be used as an evaluation basis, the value is normal in a certain range, different individuals have differences, and the analysis of the change trend can be performed through long-time data recording.

With continued reference to FIG. 3, the gas composition ratios can be approximately constant during diffusion of the gas, and thus the effect of gas diffusion (measurement location) can be eliminated by calculating the ratio of the two gas concentrations. When the concentration of the sensor is proportional to the sensitive resistance of the sensor, the ratio alpha of the resistance of the sensor can be used as a judgment basis:

in fact, the resistance of some sensors is not 0 when the gas concentration is 0, and therefore 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 has a process, and the peak value or other statistical indexes (such as the average value) in a period of time can be used as the 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 weak, the amplification gain needs to be improved, and the right leg drive (the feedback drive in the figure) is adopted to reduce the interference, the right leg drive position can be arranged near the right leg or left leg electrode, or can be 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.

When a human body sits on a toilet, a Ballistocardiogram (BCG) can be measured by providing a piezoelectric sensor, an acceleration sensor, etc. with the toilet. Because the invention contains the function of weight measurement, the sensor for measuring the weight is essentially measuring the force, so the measurement of the heart impact diagram can be carried out by the weight sensor, only the direct current component (corresponding to the weight) needs to be eliminated in the circuit design, and the weak change of the weight is collected. In order to ensure the extraction of the ballistocardiogram, it is necessary to ensure that the frequency of sampling the weight signal is higher than twice the highest frequency of the ballistocardiogram signal to be processed (typically 40 Hz). Referring to fig. 5, fig. 5 is a schematic diagram of analog front-end processing of a ballistocardiogram, Signal + and Signal-are output signals of a weighing sensor, and pass through a pre-amplifying circuit composed of a1 and a2 to output an amplified differential Signal, pass through a high-pass filter circuit (which may be designed to be about 1 Hz) composed of an RC to filter out a direct-current component containing body weight, pass through an amplifier B to amplify for a second time, and pass through a low-pass filter LPF to obtain a waveform containing the ballistocardiogram. And the subsequent digital signal processing can be performed after sampling, and the information such as heart rate can be further calculated. The heart rate calculation can also be calculated directly by measuring the impedance fluctuations detected on the body electrodes. Because the superposition of the electrocardiosignals can cause the change on the physique measuring electrode related to the fluctuation of the electrocardiosignals, the heart rate can be calculated according to the detected change

Blood oxygen pulse wave monitoring can be carried out through a photoelectric sensor, and blood oxygen measurement is generally carried out by adopting a combination of red light and infrared light. 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 relatively mature 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 physique detection module 13 of the present invention may be used to measure body weight, fat content, protein content, bone content, water content, muscle content, etc., and may also measure and calculate body mass index (also called body mass index, BMI), etc. The weight detects and can adopts 4 individuation weighing transducer (generally adopt the deformable structure and the strain sensor of special design to constitute, can be drawn in one side when the structure bears gravity, and one side pressurized constitutes positive strain and negative strain respectively), constitutes full-bridge measuring circuit, also can use single or two weighing transducer to measure of course, needs the cooperation to carry out corresponding structural design. The detection of components such as fat content and the like can be obtained by sampling a biological impedance analysis method (BIA) and carrying out calculation analysis by testing impedance values of a human body at different measurement positions under multiple frequencies. When calculating components such as fat content, information such as height and age is also needed, and the information can be input and set by a user according to needs. The measurement circuit can be formed by using AN integrated body mass measurement chip, such as BH66F2540 from HOLTEK, please refer to FIG. 6, in which AN0 and AN1 are connected to a body weight sensor to measure the body weight; the FVR, the FVL, the FIR and the FIL are connected to four body fat measuring electrodes of a human body and respectively correspond to a current signal output end (FIR, FIL) and a voltage signal detection end (FVR, FVL), the data collected by the voltage signal collection end can be processed to obtain complex impedance, and the calculation of parameters such as fat content and the like can be carried out according to a BIA method based on the complex impedance.

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, and is considered as an ending time when the body weight sensor detects body weight below the certain threshold. 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＝ΣX_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 has a heart rate of 70bpm, VOCs of 0.5ppm, BMI of 28, stool duration of 8 minutes, and fat content of 15%, X is 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 sheets 101-104 as electrodes for 4-electrode constitution measurement. Meanwhile, 101 or/and 102 forms one lead of electrocardio measurement and is connected to the left leg electrode, 103 or/and 104 forms the other lead of electrocardio measurement and is connected to the right leg electrode, and any one of 101-104 is used as a right leg driver of electrocardio measurement and is connected to the driving 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 air suction pipe 109 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 station mode, a chip dynamically monitors a broadcast packet of wifi information configured intelligently, and distribution network protocol analysis and security guarantee are carried out according to a 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 sampled at 500Hz, the data per second is as high as 500 × 2Byte, and the communication bandwidth of the network overhead is 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 on-line/off-line/use state management of the equipment 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 capability of the Internet of things, and a tablet computer can be deployed in a washroom to check real-time or historical physiological health data and is used for realizing the central control of a plurality of people or proper diet or exercise regulation on the health state 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 be used for integrating health detection into daily life without being carried out intentionally, and meanwhile, comprehensive physical, cardiovascular and gastrointestinal health analysis can be carried out, and data storage, analysis and sharing at the cloud end are realized through the internet of things technology. By the technology and the equipment provided by the invention, a large amount of data related to physique, cardiovascular and gastrointestinal health can be conveniently collected, and a big data support is further provided for establishing an accurate relation 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 health detection, 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;

the gastrointestinal health analysis system is characterized in that the intelligent detection unit comprises a gastrointestinal health detection module, and the detection data analysis unit can analyze the gastrointestinal health according to the information acquired by the gastrointestinal health detection module.

2. The toilet seat according to claim 1, wherein the gastrointestinal health detection module comprises a gas sensor for acquiring human physiological parameter data by acquiring odor/gas released from human waste.

3. The toilet seat according to claim 2, wherein the number of the gas sensors is plural, concentration information of plural kinds of gas/odor in excrement can be acquired, and gastrointestinal health status information can be obtained by integrating the acquired concentration information of plural kinds of gas/odor.

4. A toilet seat according to claim 3, wherein the integration of the plurality of gas/odour concentration information is carried out by calculating a ratio or concentration ratio related quantity of two of the gas concentrations.

5. The toilet seat of claim 1, wherein the smart detection unit further comprises one or more of the following modules:

a) a cardiovascular health monitoring module;

b) a constitution detection module;

c) and a time detection module.

6. The toilet seat of claim 5, wherein the cardiovascular health monitoring module is configured to acquire one or more of electrocardiogram, ballistocardiogram, blood oxygen, pulse wave, blood pressure; the physique detection module is used for acquiring the weight or/and the human body components.

7. The toilet seat according to claim 6, wherein the cardiovascular health monitoring module comprises a left leg electrode, a right leg electrode, and a drive electrode disposed on the toilet seat, constituting an electrocardiography measurement electrode; the physique detection module comprises two electrodes which are arranged at the contact position of the toilet seat and the right leg and the contact position of the left leg respectively to form a human body component measuring electrode; the electrocardiogram measuring electrode and the human body component measuring electrode are partially multiplexed.

8. A toilet seat according to claim 6, wherein the body composition is one or more of fat content, protein content, bone content, water content, muscle content.

9. The toilet seat according to claim 5, wherein a weighing sensor is arranged at the bottom of the toilet seat for measuring the weight of the physique detection module, and the weighing sensor is simultaneously used as a sensor for acquiring a ballistocardiogram in the cardiovascular health monitoring module.

10. The toilet seat according to claim 5, wherein the detection data analysis unit calculates the integrated health status based on data obtained by the gastrointestinal health detection module, the cardiovascular health monitoring module, the physical fitness detection module, and the time detection module.

11. The toilet seat according to claim 1 or 5, further comprising an identification unit for identifying the user based on the physiological parameter of the human body obtained by the intelligent detection unit.

12. 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.