Multi-sensor data decision level fusion-based sleep staging method

A technology of decision-level fusion and sleep staging, applied in the field of non-contact sleep staging

Active Publication Date: 2018-08-17
NANJING UNIV OF SCI & TECH
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Embodiment

[0287] The sleep staging method based on multi-sensor data decision-making level fusion of the present invention comprises the following steps:

[0288] Step 1. Tester: A male experimenter, 177cm in height, 23 years old, 70kg in weight, and 22.34 in BMI. Before the experiment, the experimenter was required to relax as much as possible, not to do strenuous exercise, and to eat regularly. During the experiment, the tester lay flat on the test bed, and the radar sensor was set directly above the human body to collect radar echo signals; the audio sensor was set toward the face to collect breathing and snoring signals;

[0289] Step 2. Turn on the radar sensor and audio sensor to collect overnight data. In the overnight data, the radar sensor data lasts 435 minutes, and the effective audio sensor data lasts 341 minutes;

[0290] Step 3. Connect the polysomnography recorder to the computer, export the results of sleep staging, save the signal data collected by the computer-side radar...

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Abstract

The invention discloses a multi-sensor data decision level fusion-based sleep staging method. The method comprises the steps of firstly collecting radar and audio data of all night by using a radar sensor and an audio sensor, and extracting radar and audio signal features; secondly according to a feature number, performing data classification on the features, and according to the data classification, building a radar residual fragment model and a radar and audio fragment model; thirdly performing identification classification on radar features in the radar residual fragment model to obtain a model prediction result 1, and performing identification classification on radar and audio features in the radar and audio fragment model by using a classifier to obtain model prediction results A andB; fourthly performing decision making on the model prediction results A and B by using a naive Bayesian model to obtain a model prediction result 2; and finally performing time sequence splicing on the model prediction results 1 and 2 to obtain an all-night sleep staging result. The method is simple and feasible, is high in accuracy and meets an actual condition.

Description

technical field [0001] The invention belongs to the technical field of vital sign monitoring and relates to a non-contact sleep staging method. Background technique [0002] 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. [0003] At present, sleep monitoring products mostly use contact monitoring, which requires a few electrodes to be attached to multiple parts of the subject's body, and wearing an oro-nasal airflow tube and an abdominal bandage. Contact monitoring greatly affects the physical and psychological conditions of the subjects, and the test environment is complex, requiring professional medi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24147G06F18/24155G06F18/253
Inventor 顾陈周燕萍洪弘蒋洁李彧晟孙理朱晓华
Owner NANJING UNIV OF SCI & TECH
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