Document Type
Thesis
Date of Award
5-31-1985
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical Engineering
First Advisor
Stanley S. Reisman
Second Advisor
Joseph Frank
Third Advisor
Joseph J. Strano
Abstract
A self-adapting, non-real time method for detecting arrhythmias in single channel Exercise ECG is described. Linear and non-linear digital filtering techniques are used to remove additive noise. A time-varying threshold technique is used to detect R-waves based on amplitude. Feature extraction and matched filter methods are used to classify QRS-waves into existing types, or to create new types. The program works on digitized data from floppy disk and plots all data along with classification results on ReGis graphics terminal or printer. This work will continue so that the system will be capable of processing three-channel ECG in real-time.
Recommended Citation
Ciurpita, Gregory, "Automated arrhythmia detection in the exercise electrocardiogram" (1985). Theses. 3563.
https://digitalcommons.njit.edu/theses/3563
