An optimized DSP implementation of adaptive filtering and ICA for motion artifact reduction in ambulatory ECG monitoring

Noise from motion artifacts is currently one of the main challenges in the field of ambulatory ECG recording. To address this problem, we propose the use of two different approaches. First, an adaptive filter with electrode-skin impedance as a reference signal is described. Secondly, a multi-channel ECG algorithm based on Independent Component Analysis is introduced. Both algorithms have been designed and further optimized for real-time work embedded in a dedicated Digital Signal Processor. We show that both algorithms improve the performance of a beat detection algorithm when applied in high noise conditions. In addition, an efficient way of choosing this methods is suggested with the aim of reduce the overall total system power consumption.

[1]  Paul S. Addison,et al.  Continuous Wavelet Transform Modulus Maxima Analysis of the Electrocardiogram: Beat Characterisation and Beat-to-Beat Measurement , 2005, Int. J. Wavelets Multiresolution Inf. Process..

[2]  J. Alpert,et al.  ACC/AHA guidelines for ambulatory electrocardiography: executive summary and recommendations. A report of the American College of Cardiology/American Heart Association task force on practice guidelines (committee to revise the guidelines for ambulatory electrocardiography). , 1999, Circulation.

[3]  Refet Firat Yazicioglu,et al.  Motion artifact reduction in ambulatory ECG monitoring: an integrated system approach , 2011, Wireless Health.

[4]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[5]  Paulo S. R. Diniz,et al.  Adaptive Filtering: Algorithms and Practical Implementation , 1997 .

[6]  Truong Q. Nguyen,et al.  Comparing stress ECG enhancement algorithms , 1996 .

[7]  Mario Konijnenburg,et al.  An Ultra Low Energy Biomedical Signal Processing System Operating at Near-Threshold , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[8]  I Romero,et al.  PCA and ICA applied to noise reduction in multi-lead ECG , 2011, 2011 Computing in Cardiology.

[9]  J. Huisken,et al.  Low-power robust beat detection in ambulatory cardiac monitoring , 2009, 2009 IEEE Biomedical Circuits and Systems Conference.

[10]  P S Hamilton,et al.  Effect of adaptive motion-artifact reduction on QRS detection. , 2000, Biomedical instrumentation & technology.