An Effective Way to Improve Actigraphic Algorithm by Using Tri-axial Accelerometer in Sleep Detection

被引：1
|
作者：
Jiang Chuan [1 ]
Zhang Sheng [2 ]
Lin Xiaokang [2 ]
机构：
[1] Tsinghua Univ, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R China
来源：
2014 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) | 2014年
关键词：
Tri-axial Accelerometer; Wrist Actigraph; Sleep Detection; ACTIVITY RECOGNITION; WRIST ACTIGRAPHY; VALIDATION;
D O I：
10.1109/CSE.2014.165
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an effective method for improving the accuracy of sleep detection using actigraphic algorithm. We have collected 2 sets of comparative data, wrist movement acceleration and brain wave analysis. In the first mode, we use the acceleration on x-axis as the input of actigraphic algorithm, in imitation of uni-axial accelerometer used in former study. In the second mode, we calculate the vector magnitude of acceleration in 3 dimensions and use it as the input of algorithm. Two outputs are then compared with Zeo data that are collected simultaneously. The comparison of results between 2 modes exhibit fine improvement on sleep detection.
引用
收藏
页码：808 / 811
页数：4
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