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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Das, M.K. Ari, S. Priyadharsini, S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha-769008, India (Das, M.K.; Ari, S.; Priyadharsini, S.) |
| Abstract | Electrocardiogram (ECG) signal provides the valuable information for detection of abnormal heart disease. Detection of QRS complexes is the first step towards recognition of heart disease from the ECG signal. ECG would be much more useful as a diagnostic tool if unwanted noise embedded in the signal is removed. The aims of the work are to (i) ECG signal enhancement using empirical mode decomposition (EMD) based method. (ii) Detection of QRS complexes using continuous wavelet transform method from the enhanced signal. The experiments are carried out on MIT-BIH database. The results show that our proposed method is very effective and an efficient method for fast computation of R peak detection. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 263743 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457711107 |
| e-ISBN | 9781457711091 |
| DOI | 10.1109/INDCON.2011.6139345 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-16 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | QRS detection MIT-BIH Arrhythmias database Continuous wavelet transforms Empirical mode decomposition Wavelet transform Noise Electrocardiography Wavelet analysis ECG signal Noise measurement |
| Content Type | Text |
| Resource Type | Article |
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