A closed-loop system for artifact mitigation in ambulatory electrocardiogram monitoring

• Published in: Proceedings of the Conference on Design, Automation and Test in Europe pp. 431 - 436
• Main Authors: Shoaib, Mohammed, Marsh, Gene, Garudadri, Harinath, Majumdar, Somdeb
• Format: Conference Proceeding
• Language: English
• Published: San Jose, CA, USA EDA Consortium 12.03.2012
• Series: ACM Conferences
• Subjects: Computer systems organization > Embedded and cyber-physical systems; Computer systems organization > Real-time systems; Hardware > Hardware test; Hardware > Hardware validation; Hardware > Robustness
• ISBN: 3981080181; 9783981080186
• DOI: 10.5555/2492708.2492819

Motion artifacts interfere with electrocardiogram (ECG) detection and information processing. In this paper, we present an independent component analysis based technique to mitigate these signal artifacts. We propose a new statistical measure to enable an automatic identification and removal of independent components, which correspond to the sources of noise. For the first time, we also present a signal-dependent closed-loop system for the quality assessment of the denoised ECG. In one experiment, noisy data is obtained by the addition of calibrated amounts of noise from the MIT-BIH NST database to the AHA ECG database. Arrhythmia classification based on a state-of-the-art algorithm with the direct use of noisy data thus obtained shows sensitivity and positive predictivity values of 87.7% and 90.0%, respectively, at an input signal SNR of -9 dB. Detection with the use of ECG data denoised by the proposed approach exhibits significant improvement in the performance of the classifier with the corresponding results being 96.5% and 99.1%, respectively. In a related lab trial, we demonstrate a reduction in RMS error of instantaneous heart rate estimates from 47.2% to 7.0% with the use of 56 minutes of denoised ECG from four physically active subjects. To validate our experiments, we develop a closed-loop, ambulatory ECG monitoring platform, which consumes 2.17 mW of power and delivers a data rate of 33 kbps over a dedicated UWB link.