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Multi-sensor feature optimization algorithm-based sleep staging method

A technology of feature optimization and sleep staging, applied in the field of radar technology and acoustics

Active Publication Date: 2018-08-10
NANJING UNIV OF SCI & TECH
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  • Multi-sensor feature optimization algorithm-based sleep staging method
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  • Multi-sensor feature optimization algorithm-based sleep staging method

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Embodiment Construction

[0143] In conjunction with accompanying drawing, a kind of sleep staging method based on multi-sensor feature optimization algorithm of the present invention comprises the following steps:

[0144] Step 1. The equipment required for the entire system includes: (1) Radar sensor: adopts continuous wave radar to collect vital signs signals of the human body (2) Audio sensor: collects breathing and snoring signals. Such as figure 2 As shown, the tester is lying on the bed, the radar is set directly above the chest of the human body, and the audio equipment is set towards the face of the person;

[0145] Step 2. Simultaneously turn on the radar sensor and audio sensor to collect signals, and the tester falls asleep. The radar irradiates the surface of the human chest to form an echo, and the snoring sound produced by the tester is recorded by the audio sensor; when the polysomnography machine reaches the monitoring stop time or the tester wakes up, the radar and audio equipment a...

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Abstract

The invention discloses a multi-sensor feature optimization algorithm-based sleep staging method. The method comprises the steps of firstly performing signal acquisition on a continuous wave radar sensor and an audio sensor at the same time; secondly performing digital signal processing on signals to obtain vital sign signals including breathing, heartbeat and body movement, and a snore signal; thirdly performing feature extraction, adjusting weights of features in a fused feature set by utilizing a feature adjustment optimization algorithm, and training a classifier; and finally performing sleep staging by using the trained classifier. The method is effective and feasible, is reliable in performance, slightly influences sleep of a user, and accurately performs assessment on the sleep of the user.

Description

technical field [0001] The invention belongs to the field of radar technology and acoustics, and specifically relates to collecting data by using multiple sensors, extracting features, performing data fusion on the feature level, and performing sleep staging. Background technique [0002] After biomedical engineering and big data and other related technologies are gradually applied to clinics, it is found that the information of overnight sleep can reflect the health status of the human body to a certain extent, so as to prevent and treat diseases. During sleep, various physiological signals such as electroencephalogram and electrocardiogram change, and these signal changes have a certain correlation with the depth of sleep. In medicine, sleep is artificially divided into several stages based on physiological manifestations such as brain waves, electrocardiograms, and eye electricity. , The sleep stages throughout the night are also periodic and have certain rules. During ...

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Application Information

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IPC IPC(8): G06K9/62A61B5/00
CPCA61B5/4812A61B5/7264G06F18/285G06F18/24765G06F18/254G06F18/253
Inventor 洪弘张诚孙理蒋洁顾陈李彧晟朱晓华
Owner NANJING UNIV OF SCI & TECH
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