Intelligent clothing system for health monitoring
A smart clothing and health monitoring technology, which is applied in applications, telemetry patient monitoring, and diagnosis using light, can solve the problems of inability to monitor human health and living environment more comprehensively, and the single function of smart clothing, so as to achieve rich and practical functions Effect
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Embodiment 1
[0048] Such as figure 1 As shown, a smart clothing system for health monitoring, including:
[0049] The MCU processor is used to receive and process the human body parameters and environmental parameters collected by the system;
[0050] A heart rate acquisition module, configured to collect human heart rate parameters in real time, and transmit the heart rate parameters to the MCU processor,
[0051] A body temperature collection module, configured to collect body temperature parameters in real time, and transmit the body temperature parameters to the MCU processor,
[0052] Acceleration acquisition module, for real-time acquisition of human body acceleration parameters, and the acceleration parameters are transmitted to the MCU processor,
[0053] GPS positioning module, used to obtain human body position parameters in real time, and transmit said position parameters to said MCU processor,
[0054] The environmental parameter acquisition module is used to obtain the envi...
Embodiment 2
[0069] Based on the same inventive concept, another aspect of the present invention, such as image 3 As shown, a human pulse calculation method is proposed, and the heart rate parameter is obtained by using the above-mentioned strain gauge flexible sensor, including the following steps:
[0070] S101. Obtain the pulse wave of the human body according to the heart rate parameter, and calculate and obtain the maximum value of the main wave of the pulse wave;
[0071] S102. Judging and detecting the main wave by a preset amplitude threshold F, and sampling the main wave at a preset sampling frequency to obtain point V 1 (x 1 ,y 1 ), V 2 (x 2 ,y 2 ), V 3 (x 3 ,y 3 )... V n (x n ,y n ); where x i (i=1,2,3...n) is the sampling time, and x i -x i-1 = 2ms; y i (i=1,2,3...n) is the amplitude value of the sampling point;
[0072] S103, extracting the time value x of the maximum point of each sampling period 1 , x 2 , x 3 , x 4 ......x n , x n+1 (n is a fixed const...
Embodiment 3
[0077] Based on the same inventive concept, another aspect of the present invention, such as Figure 4 As shown, a weightlessness recognition method for a human body fall is proposed, and the acceleration parameters are obtained by using the above-mentioned three-axis acceleration sensor, including the following steps:
[0078] S201, through the three-axis acceleration sensor, simultaneously output the acceleration components ax, ay, and az of the three axes of X, Y, and Z;
[0079] S202. Using the acceleration components ax, ay, and az to calculate and obtain the body acceleration a and the inclination angle θ between the acceleration component az and the horizon normal vector;
[0080] S203. After the human body resultant acceleration a is less than the minimum resultant acceleration threshold An, obtain the human body resultant acceleration a and the inclination angle θ between the acceleration component az and the horizon normal vector again after a first preset interval; ...
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