Human body-temperature change prediction method based on heart rate estimation and respiration estimation
A prediction method and technology of human body temperature, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve problems such as inability to accurately predict human body temperature, achieve good environmental adaptability, body surface temperature and ring tight temperature compensation algorithm is simple , The effect of low power consumption
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[0037] Such as Figure 1-3 As shown, the method for predicting changes in body temperature based on heart rate estimation and respiration estimation includes the following steps:
[0038] Step S1: Calculate the heart rate h and respiration rate b from the data collected by the camera;
[0039] Step S2: Push the heart rate h, breathing rate b and the corresponding time t into the stack p, that is, p={[h1, b1, t1], [h2, b2, t2], ..., [hn, bn , tn]}, where h1 and b1 represent the heart rate and respiration rate corresponding to time t1 respectively, and hn and bn represent the heart rate and respiration rate corresponding to time tn respectively;
[0040] Step S3: Find the latest data set S from the stack P, that is, the data set S is a subset of the stack p, and calculate the heart rate value hb_s in the most concentrated heart rate data set of S through the Meanshift algorithm, as the effective value of the measured heart rate , calculate the most concentrated respiration rat...
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