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| Paper Title | : | ECG signal analysis for detection of Heart Rate and Ischemic Episodes |
| Author Name | : | Goutam Kumar Sahoo, Samit Ari, Sarat Kumar Patra |
| Abstract | : | Electrocardiogram (ECG) is generally used for diagnosis of cardiovascular abnormalities and disorders. An efficient method for analysing the ECG signal towards the detection of heart rate (HR) and ischemic episodes follows mainly five stages: pre-processing, feature extraction, heart rate detection, beat classification and ischemic episode recognition. The heart rate is calculated using the extracted features of the ECG signal. The calculated HR value can be analysed for the detection of various cardiovascular abnormalities. The ability of the method was validated on European ST-T database. The performance of ischemic episode detection shows 88.08% sensitivity (Se) and 92.42% positive predictive accuracy (PPA). |
| Keywords | : | ECG, Pre-processing, QRS-complex, Heart rate (HR), ST-segment deviation, Ischemic episode detection. |
| Cite this article | : | Goutam Kumar Sahoo, Samit Ari, Sarat Kumar Patra " ECG signal analysis for detection of Heart Rate and Ischemic Episodes " ,ICACC-2013 ,Page No : 148-152. |
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