Intelligent earphone system based on biological feedback

Abstract

The invention provides an intelligent earphone system based on biological feedback. The system comprises a wearable earphone, a terminal module and a cloud side, the wearable earphone comprises a collection module, an analysis module, a transmission module and a playing module, the collection module is used for acquiring electrocardio data of a user, the analysis module is used for extracting various heart rate features, the transmission module is used for transmitting the heart rate features to the mobile terminal and receiving audio content sent by the terminal module, and the playing moduleis used for playing the acquired audio content. The terminal module searches the audio content according to heart features and sends the same to an earphone, the user makes feedback on own adjustingaction according to played audio, and the cloud side collects the heart rate features of the user before and after playing the audio and applies big data technology to dig influence of specific audioon the heart rate features of the user. The user can know own heart state through voice prompting and audio content and can realize self-adjusting under induction of played audio to improve heart ratestate, so that the intelligent earphone system is conducive to maintaining physical and mental health.

Description

Technical field [0001] The present invention relates to the fields of electrocardiogram analysis technology and biofeedback, in particular to the design of a smart earphone system based on biofeedback. Background technique [0002] The electrocardiogram is a technology that uses an electrocardiograph to record the changes in the electrical activity of the heart during each cardiac cycle from the body surface. The traditional method of obtaining an electrocardiogram is to place a lead on a designated part of the chest and arm for detection. The equipment is complicated and not suitable for long-term wear. [0003] HRV refers to the minute fluctuations in the instantaneous heart rate between consecutive heartbeats, reflecting the condition of the cardiovascular system under the influence of the autonomic nervous system and the tension and balance of the sympathetic and parasympathetic nerves. It is a commonly used method for detecting cardiovascular conditions, the autonomic nervous ...

AI Technical Summary

Problems solved by technology

[0007] At present, most of the head-mounted devices that monitor the heart rate simply collect the pulsation frequency of the skin, which cannot obtain complete heart rate characteristics, let alone identify the user's emotions, or accurately monitor the heart state; some biofeedback-based Music therapy methods, either use EEG signals or collect ECGs through clumsy electrocardiographs, which are not suitable for long-term wear, and the user experience is poor

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