Title :
Adaptive cancellation of motion artifact in wearable biosensors
Author :
Yousefi, Rasoul ; Nourani, M. ; Panahi, Issa
Author_Institution :
Quality of Life Technol. Lab., Univ. of Texas at Dallas, Richardson, TX, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
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.
Keywords :
biomedical equipment; biosensors; least mean squares methods; photoplethysmography; physiological models; PPG sensors; fundamental frequency; least mean square adaptive noise canceler; motion artifact analysis; noise reference signal; robust real-time technique; synthetic noise generator; wearable biosensors; wearable photoplethysmography sensors; Biomedical monitoring; Correlation; Estimation; Frequency estimation; Noise; Noise measurement; Sensors; Algorithms; Artifacts; Biosensing Techniques; Computer Simulation; Humans; Motion; Photoplethysmography; Signal Processing, Computer-Assisted; Spectrum Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346350
