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ECG signal analysis for detection of Heart Rate and Ischemic Episodes

Author(s): Goutam Kumar Sahoo, Samit Ari, Sarat Kumar Patra

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 3;
Issue: 8;
Start page: 148;
Date: 2013;
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Keywords: ECG | Pre - processing | QRS - complex | H eart rate (HR) | ST - segment deviation | Ischemic episode detection

Electrocardiogram (ECG) is generally used fordiagnosis ofcardiovascularabnormalitiesanddisorders.Anefficient method for analysingtheECG signal towards the detection ofheartrate(HR)andischemic episodesfollows mainly fivestages:pre-processing, feature extraction,heart ratedetection,beat classification and ischemicepisoderecognition.Theheart rate is calculatedusing theextracted featuresoftheECG signal. Thecalculated HRvaluecan beanalysedforthedetectionofvariouscardiovascularabnormalities.Theabilityof the method wasvalidatedonEuropean ST-T database.Theperformance ofischemic episode detectionshows88.08% sensitivity(Se) and 92.42% positive predictive accuracy (PPA).
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