Document Type
Thesis
Date of Award
5-31-1986
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical Engineering
First Advisor
Stanley S. Reisman
Second Advisor
Peter Engler
Third Advisor
W. H. Warren Ball
Abstract
This thesis studied methods of using 2 channel ECG signals for noise elimination and arrhythmia detection. Clinical data were recorded from patients stress tests and were stored on diskettes for off-line processing. Spatial velocity vector and noise estimation methods in addition to analog and digital filters were combined to remove the noise produced from different sources. Feature extraction and matched filter methods were employed for classification of normal and abnormal QRS complexs, while rhythm computing was used in addition for PVCs and other arrhythmia discrimination. This algorithm was tested on clinical stress test recordings and a computer simulated arrhythmia recording with satisfactory results. Further work will be continued to improve the system for ECG data processing in real-time.
Recommended Citation
Yang, Shi-Xiong, "Multi-channel arrhythmia analysis in the clinical exercise electrocardiogram" (1986). Theses. 3394.
https://digitalcommons.njit.edu/theses/3394
