Electrocardiogram reconstruction using support vector regression
This paper presents a new method to apply support vector regression (SVR) to reconstruct chest lead electrocardiogram (ECG) signals. The reconstructed V2, V3, V4, and V5 signals are obtained from SVRs using Lead 1, Lead II, Vl, and V6 signals as the input features. Only QRS complex, T wave, and P wa...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2015
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Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84889069230&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39025 |
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Institution: | Chiang Mai University |
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