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Sleep staging method based on multi-sensor feature optimization algorithm

A feature-optimized, multi-sensor technology, applied in the field of radar technology and acoustics, to achieve the effects of strong fault tolerance, scientific staging results, and simple operation

Active Publication Date: 2021-12-10
NANJING UNIV OF SCI & TECH
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  • Sleep staging method based on multi-sensor feature optimization algorithm
  • Sleep staging method based on multi-sensor feature optimization algorithm
  • Sleep staging method based on multi-sensor feature optimization algorithm

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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 sleep staging method based on a multi-sensor feature optimization algorithm. In the method, firstly, a continuous wave radar sensor and an audio sensor are simultaneously acquired for signals; The vital sign signal including motion and snoring signal; then feature extraction, use the feature adjustment optimization algorithm to adjust the weight of each feature in the fusion feature set, and train the classifier; finally use the trained classifier for sleep in installments. The method of the invention is effective and feasible, has reliable performance, has little influence on the user's sleep, and can accurately evaluate the user's sleep.

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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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