Deep sleep improvement detection system and method based on biological low noise amplifier

Abstract

The invention belongs to the technical field of integrated circuit design and biomedical combination, and discloses a deep sleep improvement detection system and method based on a biological low noiseamplifier. The method includes that before the human body sleeps, a detecting device is worn on the head; a bioelectrode in the detecting device samples an EEG signal which is subjected to amplification treatment by an analog front end like the biological low noise amplifier to form an EEG spectrogram; the computer technology of the device is utilized to analyze the spectral characteristics of the EEG; when a delta wave (a long pulse wave released by the brain during the deep sleep) is detected, the device automatically plays sound of some corresponding bands, diffracting more delta bands topromote the deep sleep. The biological low noise amplifier is utilized to amplify and process the extracted EEG signal, analyze the sleep state give certain improvement, prolong the deep sleep time and improves the physiological state. Compared with the traditional EEG spectrum application, the system no longer only observes the human brain activity artificially and by computer-analyzed spectrum,but is directly applied to the improvement of sleep and put into action.

Description

technical field [0001] The invention belongs to the technical field of integration of integrated circuit design and biomedicine, and in particular relates to a deep sleep improvement detection system and method based on a biological low noise amplifier. Background technique [0002] At present, the closest existing technology: currently based on wireless body area network, most of the technologies are to observe and monitor people's current physical state, and then feed back to people for easy analysis and proposed solutions, such as high blood sugar prompting to take insulin; or in Unexpected situations are found during observation, for example, when the heart attack is detected through the analysis of the ECG signal, the smart device will call an ambulance, etc. In terms of human sleep, the focus of existing technologies is mainly to detect and evaluate people's sleep, and then archive and give feedback to people, so that people can better understand their own sleep and ho...

AI Technical Summary

Problems solved by technology

[0006] To sum up, the problems in the existing technology are: the existing medical equipment for detecting people's sleep has poor portability, and it is difficult to meet the requirements of home use and sleeping comfort

If it is difficult to meet the requirem

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