Anubha Kalra
Auckland University of Technology, NewZealand
Posters & Accepted Abstracts: J Bioengineer & Biomedical Sci
This work presents a 2D quantification of strain field caused due to the motion artifact in an Electrocardiogram (ECG) measurement. The objective of this work is to estimate the skin stretch induced motion artifact in an ECG signal. An ECG measurement was obtained from a subject for 10 seconds using standard Ag/AgCl electrodes by continuously moving the arm back and forth during the measurement. The motion artifact produced due to the arm movement was emulated using a Poly dimethyl siloxane (PDMS) patch of dimensions 40 mm x 45 mm x 0.254 mm adhered to the arm. The movement of the PDMS patch during the ECG measurement was recorded in a video and motion artifact was quantified in terms of normal and shear strain components �µx, �µy and �µxy. These values were derived using feature detection and Euclidean distance feature mapping. The obtained motion artifact can be eliminated from the ECG signal using adaptive filtering or other techniques such as extended kalman filtering (EKF). This method of evaluation of the strain components was validated against a finite element analysis SolidWorks�®.
Email: akalra@aut.ac.nz
Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report