Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/1927
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sahoo, G K | - |
dc.contributor.author | Ari, S | - |
dc.contributor.author | Patra, S K | - |
dc.date.accessioned | 2013-04-17T14:25:34Z | - |
dc.date.available | 2013-04-17T14:25:34Z | - |
dc.date.issued | 2013-04 | - |
dc.identifier.citation | IEEE conference on Information and Communication Technologies, ICT-2013. 11th - 12th April, 2013. | en |
dc.identifier.uri | http://hdl.handle.net/2080/1927 | - |
dc.description | Copyright belongs to proceeding publisher | en |
dc.description.abstract | Electrocardiogram (ECG) is generally used for diagnosis of cardiovascular abnormalities and heart disorders. An efficient method for analyzing the ECG signal towards the detection of cardiovascular abnormalities and ischemic episodes follows mainly five stages: pre-processing, feature extraction,cardiac abnormality detection, beat classification and ischemic episode recognition.The detection of cardiovascular ab- normalities like bradycardia and tachycardia is based on the calculation of heart rate(HR) from the extracted ECG features.The extracted ST-segment and T-wave features are used for detection of ischemic episodes.The ability of the method was tested on European ST-T database. The performance of ischemic episode detec-tion shows 88.08% sensitivity (Se) and 92.42% positive predictive accuracy (PPA). | en |
dc.format.extent | 189466 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.subject | ECG | en |
dc.subject | Pre-processing | en |
dc.subject | QRS-complex | en |
dc.subject | Heart rate(HR) | en |
dc.subject | ST-segment deviation | en |
dc.subject | Ischemic episode detection | en |
dc.title | ECG signal analysis for detection of Cardiovascular abnormalities and Ischemic episodes | en |
dc.type | Article | en |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
PID2688685_Goutam.pdf | 185.03 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.