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| Content Provider | IET Digital Library |
|---|---|
| Author | Satija, Udit Ramkumar, Barathram Manikandan, M Sabarimalai |
| Abstract | A long-term continuous cardiac health monitoring system highly demands more battery power for real-time transmission of electrocardiogram (ECG) signals and increases bandwidth, treatment costs and traffic load of the diagnostic server. In this Letter, the authors present an automated low-complexity robust cardiac event change detection (CECD) method that can continuously detect specific changes in PQRST morphological patterns and heart rhythms and then enable transmission/storing of the recorded ECG signals. The proposed CECD method consists of four stages: ECG signal quality assessment, R-peak detection and beat waveform extraction, temporal and RR interval feature extraction and cardiac event change decision. The proposed method is tested and validated using both normal and abnormal ECG signals including different types of arrhythmia beats, heart rates and signal quality. Results show that the method achieves an average sensitivity of 99.76%, positive predictivity of 94.58% and overall accuracy of 94.32% in determining the changes in heartbeat waveforms of the ECG signals. |
| Starting Page | 116 |
| Ending Page | 123 |
| Page Count | 8 |
| Volume Number | 3 |
| e-ISSN | 20533713 |
| Issue Number | Issue 2, Jun (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/htl/3/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/htl.2015.0062 |
| Journal | Healthcare Technology Letters |
| Publisher Date | 2016-05-13 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Automated Low-complexity Robust Cardiac Event Change Detection Battery Power Beat Waveform Extraction Bioelectric Signal Biology And Medical Computing Cardiac Event Change Decision CECD Method Continuous Cardiac Health Monitoring System Digital Signal Processing ECG Signal Electrical Activity in Neurophysiological Processes Electrocardiogram Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Feature Extraction Heart Rhythms Heartbeat Waveform Long-term Healthcare Monitoring Application Medical Signal Processing Patient Monitoring PQRST Morphological Pattern R-peak Detection Robust Cardiac Event Change Detection Method RR Interval Feature Extraction Signal Processing And Detection Temporal Feature Extraction Waveform Analysis |
| Content Type | Text |
| Resource Type | Article |
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