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

fYear

2012

fDate

Aug. 28 2012-Sept. 1 2012

Firstpage

2004

Lastpage

2008

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE

Conference_Location

San Diego, CA

ISSN

1557-170X

Print_ISBN

978-1-4244-4119-8

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/EMBC.2012.6346350

Filename

6346350