Abstract
Electrocardiogram (ECG) has been widely used in clinical diagnosis of cardiac arrhythmia. In particular, real-time detection of lethal cardiac arrhythmia such as ventricular tachycardia and ventricular fibrillation is important for patients with cardiovascular diseases. In addition, ST deviation during exercise indicates insufficient blood supply or infarction in myocardium, and autonomic imbalance implied from heart rate variability is associated with the mortality. However, physical activity (PA) usually confuses these interpretations. In this study, PA-related ECG analyses and real-time implementation on mobile devices will be addressed. Incorporating PA into ECG analysis not only avoids the confounding interpretation caused by PA, but also provides a way to probe cardiac functions during different PAs.
| Original language | English |
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| DOIs | |
| State | Published - 2013 |
| Event | 9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan Duration: 10 12 2013 → 13 12 2013 |
Conference
| Conference | 9th International Conference on Information, Communications and Signal Processing, ICICS 2013 |
|---|---|
| Country/Territory | Taiwan |
| City | Tainan |
| Period | 10/12/13 → 13/12/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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