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用于动态睡眠记录的盲源分离

Blind source separation for ambulatory sleep recording.

作者信息

Porée Fabienne, Kachenoura Amar, Gauvrit Hervé, Morvan Catherine, Carrault Guy, Senhadji Lotfi

机构信息

INSERM, U642, Laboratoire Traitement du Signal et de l'Image, Université de Rennes 1, 35042 Rennes, France.

出版信息

IEEE Trans Inf Technol Biomed. 2006 Apr;10(2):293-301. doi: 10.1109/titb.2005.859878.

DOI:10.1109/titb.2005.859878
PMID:16617618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2259394/
Abstract

This paper deals with the conception of a new system for sleep staging in ambulatory conditions. Sleep recording is performed by means of five electrodes: two temporal, two frontal and a reference. This configuration enables to avoid the chin area to enhance the quality of the muscular signal and the hair region for patient convenience. The electroencephalopgram (EEG), eletromyogram (EMG), and electrooculogram (EOG) signals are separated using the Independent Component Analysis approach. The system is compared to a standard sleep analysis system using polysomnographic recordings of 14 patients. The overall concordance of 67.2% is achieved between the two systems. Based on the validation results and the computational efficiency we recommend the clinical use of the proposed system in a commercial sleep analysis platform.

摘要

本文探讨了一种用于动态睡眠分期的新系统的概念。睡眠记录通过五个电极进行：两个颞部电极、两个额部电极和一个参考电极。这种配置能够避开下巴区域以提高肌肉信号的质量，并避开头发区域以方便患者。使用独立成分分析方法分离脑电图（EEG）、肌电图（EMG）和眼电图（EOG）信号。该系统与使用14名患者多导睡眠图记录的标准睡眠分析系统进行了比较。两个系统之间的总体一致性达到了67.2%。基于验证结果和计算效率，我们建议在商业睡眠分析平台上临床使用所提出的系统。

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