首页 / 院系成果 / 成果详情页

ASSESSMENT OF THE EFFECT OF HEALTH MONITORING SYSTEM ON THE SLEEP QUALITY BY USING SUPPORT VECTOR MACHINE 期刊论文

编号：

cf25795e-ea54-482f-aa02-55d2803bfb40
作者：

Luo, Yuzhou(罗宇舟)#*^[1]Wang, Rui^[2];Jiang, Zhongwei^[2];Zuo, Xiqing^[3];
语种：

英文
期刊：

COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES ISSN：1310-1331 2018 年 71 卷 1 期 (116 - 123)
收录：
关键词：

sleeping conditions breath sound support vector machine
摘要：

The monitoring of sleeping conditions is of major importance for various reasons such as the detection and treatment of sleep disorders, the assessment of the effect of various medical medications or smart devices on the sleep quality. Besides, breath sound contains important information, therefore analysis and collection of breath sound has become an important research field. In this paper, we propose a simple method to obtain breath sound signal using a support vector machine (SVM) to automatically analyze the breath sound signal and recognize sleep state. It only measures all-night breath sound, without disrupting the participant's normal sleep and it can be used both at home, or in a hotel with minimal cost. The SVM kernel function was chosen to be the RBF (Radial Basis Function) and kernel parameters were varied to examine the effectiveness of optimization methods. The high detection accuracy results validate the performance of the proposed method.
推荐引用方式
GB/T 7714：

Luo Yuzhou,Wang Rui,Jiang Zhongwei, et al. ASSESSMENT OF THE EFFECT OF HEALTH MONITORING SYSTEM ON THE SLEEP QUALITY BY USING SUPPORT VECTOR MACHINE [J].COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES,2018,71(1):116-123.
APA：

Luo Yuzhou,Wang Rui,Jiang Zhongwei,Zuo Xiqing.(2018).ASSESSMENT OF THE EFFECT OF HEALTH MONITORING SYSTEM ON THE SLEEP QUALITY BY USING SUPPORT VECTOR MACHINE .COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES,71(1):116-123.
MLA：

Luo Yuzhou, et al. "ASSESSMENT OF THE EFFECT OF HEALTH MONITORING SYSTEM ON THE SLEEP QUALITY BY USING SUPPORT VECTOR MACHINE" .COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES 71,1(2018):116-123.
入库时间：

9/25/2019 10:27:53 AM
更新时间：

9/25/2019 10:27:53 AM

浏览次数：34  下载次数：0

分享到：

浏览次数：34

下载次数：0

打印次数：0