Adaptive cancellation of motion artifact in wearable biosensors

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.

[1]  Nam Ik Cho,et al.  Tracking analysis of an adaptive lattice notch filter , 1995 .

[2]  M. Ross,et al.  Average magnitude difference function pitch extractor , 1974 .

[3]  Rosalind W. Picard,et al.  Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography , 2010, IEEE Transactions on Information Technology in Biomedicine.

[4]  T. Parks,et al.  Maximum likelihood pitch estimation , 1976 .

[5]  Hyonyoung Han,et al.  Development of real-time motion artifact reduction algorithm for a wearable photoplethysmography , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  S. J. Elliott,et al.  Adaptive cancellation of periodic, synchronously sampled interference , 1985, IEEE Trans. Acoust. Speech Signal Process..

[7]  G.B. Moody,et al.  PhysioNet: a Web-based resource for the study of physiologic signals , 2001, IEEE Engineering in Medicine and Biology Magazine.

[8]  P. Gibbs,et al.  Active noise cancellation using MEMS accelerometers for motion-tolerant wearable bio-sensors , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Yuan-Ting Zhang,et al.  IEEE EMBS technical committee on wearable biomedical sensors & systems: position paper , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[10]  H.H. Asada,et al.  Low Variance Adaptive Filter for Cancelling Motion Artifact in Wearable Photoplethysmogram Sensor Signals , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  E. Hari Krishna,et al.  A Novel Approach for Motion Artifact Reduction in PPG Signals Based on AS-LMS Adaptive Filter , 2012, IEEE Transactions on Instrumentation and Measurement.

[12]  Changseok Bae,et al.  Adaptive Noise Cancellation Using Accelerometers for the PPG Signal from Forehead , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  H. Harry Asada,et al.  Artifact-resistant power-efficient design of finger-ring plethysmographic sensors , 2001, IEEE Transactions on Biomedical Engineering.

[14]  H Harry Asada,et al.  Mobile monitoring with wearable photoplethysmographic biosensors. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.