Heart rate variability evaluation method, intelligent wearable device and storage medium

Abstract

The embodiment of the invention discloses a heart rate variability evaluation method, intelligent wearable equipment and a storage medium. The evaluation method comprises the following steps: acquiring an initial heart rate variability value of a current user, and screening the initial heart rate variability value based on a preset data selection condition to determine a sample heart rate variability value; obtaining a target heart rate variability value in a preset evaluation period according to the sample heart rate variability value, and establishing a personal heart rate variability data model according to the target heart rate variability value; and determining a reference heart rate variability value by using the personal heart rate variability data model, and determining heart rate variability evaluation information according to the reference heart rate variability value. According to the technical scheme provided by the embodiment of the invention, the convenience of improving the heart rate variability is realized, and meanwhile, personalized heart rate variability evaluation is provided for the user.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of heart rate variability analysis, and in particular to a method for evaluating heart rate variability, a smart wearable device, and a storage medium. Background technique [0002] Heart rate variability (HRV) refers to the change of the difference between successive heartbeat cycles. It contains information about the regulation of the cardiovascular system by neurohumoral factors, so as to judge its condition and prevention of cardiovascular and other diseases. It is a predictor of sudden cardiac death and cardiac rhythm. A valuable indicator of anomalous events. [0003] At present, the measurement of heart rate variability can be implemented through the introduction of smart wearable devices (such as sports watches, etc.) on the market. One is a smart wearable device that supports the ECG measurement method. The ECG measurement method requires the support of additional equipmen...

AI Technical Summary

Problems solved by technology

One is a smart wearable device that supports the ECG measurement method. The ECG measurement method requires the support of additional equipment (such as a heart rate belt) and is compared through daily measurements. The heart rate belt needs to be put on and off repeatedly; the other is to support the PPG measurement method. Smart wearable device, which can be used to evaluate the physical recovery of the user's sleep. The user needs to wear the smart wearable device during sleep, and the measurement results may be inaccurate due to user activities during the day

[0004] Based on the measurement methods of heart rate variability mentioned above, it may be due to individual differences among users that the heart rate variability of each user is different. Therefore, it is not possible to use the same heart rate variability evaluation standard to evaluate the heart rate variability of different users. Accurate; at the same time, the current heart rate variability evaluation standards are not uniform, and the evaluation of heart rate variability usually relies on conventional reference values, which cannot provide personalized evaluation methods for different users

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