TY - GEN
T1 - An algorithm for detection of arrhythmia
AU - Rahman, Mujeeb
AU - Nasor, Mohamed
PY - 2011
Y1 - 2011
N2 - This paper presents an algorithm for Electrocardiogram (ECG) analysis to detect and classify ECG waveform anomalies and abnormalities. This is achieved by extracting various features and durations of the ECG waveform such as RR interval, QRS complex, P wave and PR durations. These durations are then compared with normal values to determine the degree and types of abnormalities. Most of the data used for this study were extracted from the MIT-BIH arrhythmia database while some data was extracted from ECG recordings acquired specifically for the purposes of this study. The paper is concluded with detailed results obtained from testing the algorithm using the ECG data.
AB - This paper presents an algorithm for Electrocardiogram (ECG) analysis to detect and classify ECG waveform anomalies and abnormalities. This is achieved by extracting various features and durations of the ECG waveform such as RR interval, QRS complex, P wave and PR durations. These durations are then compared with normal values to determine the degree and types of abnormalities. Most of the data used for this study were extracted from the MIT-BIH arrhythmia database while some data was extracted from ECG recordings acquired specifically for the purposes of this study. The paper is concluded with detailed results obtained from testing the algorithm using the ECG data.
UR - https://www.scopus.com/pages/publications/79957910673
U2 - 10.1109/MECBME.2011.5752111
DO - 10.1109/MECBME.2011.5752111
M3 - Conference contribution
AN - SCOPUS:79957910673
SN - 9781424470006
T3 - 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
SP - 243
EP - 246
BT - 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
T2 - 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
Y2 - 21 February 2011 through 24 February 2011
ER -