Glove for detecting multiple physiological parameters and hypertension disease risk detection system
A technology for detection of physiological parameters and high blood pressure, applied in vascular assessment, diagnostic signal processing, diagnostic recording/measurement, etc., can solve the problems of increasing patient treatment costs, inability to continuously monitor community population suffering from high blood pressure, and high labor costs
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Embodiment 1
[0041] This embodiment provides a multi-physiological parameter detection glove, such as figure 1 As shown, it includes a main control module, a glove body, and an ECG signal acquisition component and a comprehensive signal acquisition component arranged on the glove body.
[0042] The electrocardiographic signal collection component includes a plurality of electrodes arranged on the palm side of the outer surface of the glove body and an electrocardiographic collection module connected to each of the electrodes, and is used for: collecting the user's electrocardiographic signal.
[0043] The integrated signal acquisition component is arranged at any fingertip position on the inner surface of the glove body, and is used for:
[0044] Obtain the user's pulse wave signal by means of transmissive blood oxygen collection;
[0045] The user's blood oxygen saturation is obtained by spectrophotometry and transmission blood oxygen collection.
[0046] The main control module is conf...
Embodiment 2
[0077] This embodiment provides a detection system for the risk of hypertension, specifically a combination of gloves + wristbands, and used with a mobile terminal; this detection technology can simultaneously collect the user's ECG, blood oxygen saturation, pulse wave Three physiological parameters, and the collected physiological parameters are transmitted to the mobile terminal in real time for users to view. At the same time, the mobile terminal sends the physiological parameters and the user's age, height, gender and other information to the cloud server through the Internet. The cloud server has built-in artificial The intelligent algorithm performs big data processing on the above data, evaluates the degree of arteriosclerosis of the user and obtains the risk probability of hypertension, and feeds back the mobile terminal for the user to view, so as to guide the early prevention of cardiovascular diseases in hypertensive patients and treatment.
[0078] See Figure 7 T...
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