Organism physiological status feedback system and operation method thereof

Abstract

Provided are an organism physiological status feedback system and an operation method thereof. The system comprises a photoelectric sensor, a heart rate variability (HRV) obtaining unit, a pulse acquiring unit, a controller, and a feedback reminding unit. Through illuminating a skin surface of an organism, the photoelectric sensor detects variation of light intensity on the skin surface, caused by blood volume variation in blood vessels of the organism, to generate a corresponding blood flow electric signal. The heart rate variability (HRV) obtaining unit obtains a HRV physiological parameter value based on the generated corresponding blood flow electric signal. The pulse acquiring unit acquires pulse waveform data of the organism, the data changing with time, based on the generated corresponding blood flow electric signal. The controller is connected with the HRV obtaining unit and a pulse acquiring device, and obtains waveform variation characteristics of pulse according to the pulse waveform data, and combined with the HRV and pulse waveform variation characteristics, the controller determines an organism physiological status classification. The feedback reminding unit feeds back and outputs a reminding signal corresponding to the classification according to determined organism physiological status classification.

Description

technical field [0001] The present application relates to the field of mobile devices, and more specifically, relates to a wearable biophysiological condition feedback system and an operation method thereof. Background technique [0002] In recent years, with the continuous development of mobile devices, there are more and more wearable mobile devices, such as Apple's wearable watch iwatch. However, current wearable mobile devices can only detect biophysiological parameter values ​​through sensors, such as heart rate, respiration, blood pressure, etc., and directly display them on the display screen, or at most use some parameter values ​​to give deep sleep and light sleep. However, as people pursue their own optimal physiological conditions, there is an increasing need for technologies that can accurately and more objectively judge and feed back people's physiological conditions. [0003] Currently, people usually use Heart Rate Variability (HRV) to measure whether people'...

AI Technical Summary

Problems solved by technology

Therefore, it is quite insufficient to use static data to estimate the physiological state of the human body.

In addition, traditional measurement methods such as blood pressure measurement require professionals to complete, and the sphygmomanometer is inconvenient to carry and use, and cannot easily and conveniently grasp the dynamics of the basic physiological status of the human body in real time

Moreover, the existing human physiological condition monitoring system has low monitoring accuracy, and the flexibility, real-time and intelligent degree of service provision are all low, so it cannot well meet the growing demand for medical monitoring and medical care.

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