Monitoring device and monitoring method for sleep

Abstract

The invention discloses a monitoring device for sleep. The monitoring device comprises a detection module, a processing module and an output module, wherein the processing module is electrically connected with the detection module; the output module is electrically connected with the processing module; the detection module is used for acquiring physiological characteristic signals for characterizing the sleep state of a user; the physiological characteristic signals comprise one or more of a heart rate characteristic signal for characterizing the heart rate characteristics of a detected object and a breathing characteristic signal for characterizing the breathing characteristics of the detected object; the processing module is used for processing the physiological characteristic signals from the detection module to obtain the comprehensive sleep assessment result of the detected object; the output module is used for outputting the comprehensive sleep assessment result from the processing module. According to the monitoring device for the sleep, disclosed by the invention, the sleep quality of the detected object is accurately assessed by acquiring the physiological characteristic signals for reflecting the heart rate characteristics and / or the breathing characteristics and the like of a user. The monitoring device is simple in structure and convenient to use, and the wearing design can be realized. Meanwhile, the invention also discloses a monitoring method for the sleep.

Description

technical field [0001] The present invention relates to monitoring technology, and more particularly relates to a sleep monitoring device and a monitoring method thereof. Background technique [0002] Existing sleep monitoring products are mainly divided into two categories: home use and medical use. [0003] Sleep monitoring products used at home are usually designed to be worn, and most of them are designed based on accelerometers. This product uses an accelerometer to obtain the user's motion data during sleep, and analyzes the data through a microprocessor to evaluate the wearer's sleep state. Since the accelerometer can only be used to record the body movement of the subject, and the body movement is not directly related to the sleep state, the following two false impressions will be produced, which will lead to inaccurate final sleep quality assessment results: The first false impression is to wear The wearer is lying on the bed and does not fall asleep, but the limb...

AI Technical Summary

Problems solved by technology

However, because the brain wave signal is extremely weak, the recording of the brain wave requires high precision equipment, which leads to the high cost, large size and inconvenient measurement of the existing medical sleep monitoring products, which are currently only used in hospitals, clinics and other health service institutions. Not suitable for personal home use

Moreover, when using this product for sleep monitoring, the subject needs to wear a large number of electrodes on the top of the head, and the discomfort caused by wearing the electrodes will affect the sleep effect

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