Document Type
Thesis
Date of Award
9-30-1988
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical Engineering
First Advisor
Stanley S. Reisman
Second Advisor
Peter Engler
Abstract
A system based on the microcomputer IBM PC-AT has been realized to acquire and filter the clinical electrocardiogram (ECG) data in real time. The system program further detects and analyzes the ECG signals for possible cardiac arrhythmias.
This research is based on work done by previous researchers and achieves significant goals towards achieving on-line arrhythmia detection using a microcomputer. The system uses the hardware and software package ASPI 320/PC from Atlanta Signal Processors Inc. This hardware configuration uses a special purpose instrumentation microprocessor ( TMS32010 from Texas Instruments) to coprocess the ECG signals. Coprocessing the signals with the ASPI 320/PC board allows the IBM PC to accomplish real time acquisition and filtering of single channel clinical data.
The system processes the ECG data to identify the QRS complexes and provides statistical data on the QRS features. The QRS complexes are further classified according to their features , rhythms and templates. Based on this information the system program detects a limited number of arrhythmias by combining feature extraction, template matching and rhythm recognition techniques. The system provides a menu driven program.
Specific suggestions are made on improving the system structure to expand the arrhythmia detection capability and to achieve multilead ECG processing.
Recommended Citation
Shaikh, Mohammad Ashfaque, "Computer analysis of the electrocardiogram using hardware digital signal processing" (1988). Theses. 3213.
https://digitalcommons.njit.edu/theses/3213
