Adaptive Cancellation of Motion Artifact in Wearable Biosensors

被引：0
|
作者：
Yousefi, Rasoul [1 ]
Nourani, Mehrdad [1 ]
Panahi, Issa [1 ]
机构：
[1] Univ Texas Dallas, Qual Life Technol Lab, Richardson, TX 75080 USA
来源：
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2012年
关键词：
PHOTOPLETHYSMOGRAPHY; ACCELEROMETERS; SENSORS; SIGNALS; FILTER;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The performance of wearable biosensors is highly influenced by motion artifact. In this paper, a model is proposed for analysis of motion artifact in wearable photoplethysmography (PPG) sensors. Using this model, we proposed a robust real-time technique to estimate fundamental frequency and generate a noise reference signal. A Least Mean Square (LMS) adaptive noise canceler is then designed and validated using our synthetic noise generator. The analysis and results on proposed technique for noise cancellation shows promising performance.
引用
收藏
页码：2004 / 2008
页数：5
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