北京生物醫(yī)學(xué)工程

基于SVM的便攜式睡眠監(jiān)測系統(tǒng)設(shè)計

A design of sleep monitoring system based on support vector machines

作者：林秀晶錢松榮

單位：                                 復(fù)旦大學(xué)信息科學(xué)與工程學(xué)院(上海200433)            

關(guān)鍵詞：睡眠監(jiān)測；自動睡眠分析；支持向量機(jī)；便攜性

分類號：

出版年·卷·期（頁碼）：2015·34·3（273-277）

摘要：

目的睡眠監(jiān)測是睡眠質(zhì)量分析中重要的環(huán)節(jié)，但目前的睡眠監(jiān)測系統(tǒng)復(fù)雜而且難以攜帶。本文提出基于支持向量機(jī)的便攜式睡眠監(jiān)測系統(tǒng)，以方便地實(shí)時監(jiān)控睡眠。方法該系統(tǒng)硬件部分由服務(wù)器和用戶端設(shè)備構(gòu)成，其中用戶端設(shè)備負(fù)責(zé)數(shù)據(jù)采集和數(shù)據(jù)傳輸，服務(wù)器端負(fù)責(zé)數(shù)據(jù)分析及相關(guān)的資源管理。睡眠分析軟件采用支持向量機(jī)(support vector machines, SVM)作為分析算法，在提取特征值的基礎(chǔ)上，以有向無環(huán)圖作為多分類策略分析得到睡眠的時相。結(jié)果對于患者的睡眠腦電實(shí)驗(yàn)表明分析正確率高，所需的分析時間短。結(jié)論該系統(tǒng)用戶端設(shè)備體積小，方便攜帶，分析正確率高，實(shí)時性好，在睡眠監(jiān)測領(lǐng)域具有良好的應(yīng)用前景。

Objective Sleep monitoring is an important part of the analysis of sleep quality, yet the sleep monitoring system available now is complex and cumbersome. A portable sleep monitoring system based on support vector machines (SVM) is proposed in this paper with great convenience and efficiency. Methods The system’s hardware consists of the server and the user equipment. The user equipment with high portability is used for data acquisition and data transmission. The server is used for data analysis and resource maintenance. SVM is adopted as the automatic sleep analysis algorithm in the server. Based on extracted features, sleep stages are got with directed acyclic graph as the multi-classification method. Results The research results based on patient EEG analysis show that the system can reach a high accuracy rate and take short analysis time average analysis time of 1.45 seconds. Conclusions The compact user equipment is highly portable, and it can feedback the correct result to the users in real time, thus confirming that the design has a promising future in sleep monitoring.

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