Proceedings ArticleDOI
ECG signal analysis for detection of cardiovascular abnormalities and ischemic episodes
Goutam Kumar Sahoo,Samit Ari,Sarat Kumar Patra +2 more
- pp 1055-1059
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TLDR
The extracted ST-segment and T-wave features are used for detection of ischemic episodes and the performance of the method shows 88.08% sensitivity and 92.42% positive predictive accuracy.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 abnormalities 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 detection shows 88.08% sensitivity (Se) and 92.42% positive predictive accuracy (PPA).read more
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References
More filters
Journal ArticleDOI
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
TL;DR: A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
Book
Advanced Methods And Tools for ECG Data Analysis
TL;DR: The ECG and Its Contaminants, Visualization Methods, Knowledge Management and Emerging Methods, and Supervised and Unsupervised Classification.
Journal ArticleDOI
The European ST-T database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography.
Antonio Taddei,G. Distante,Michele Emdin,P. Pisani,George B. Moody,C. Zeelenberg,Carlo Marchesi +6 more
TL;DR: The project for the development of the European ST-T annotated Database originated from a 'Concerted Action' on Ambulatory Monitoring, set up by the European Community in 1985 and recently the 90 records were completed and stored on CD-ROM.
Book
Advances in Cardiac Signal Processing
TL;DR: The Electrocardiogram and Wavelets and its Application in Cardiology, 1/f Fluctuation of Heart Rate in Postoperative and Brain-Dead Patients, and Stress During Speech Therapy.
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