| Autor: |
Sivakumaran Natarajan, Maheswari Lakshmanan, Hemalatha Karnan |
| Rok vydání: |
2020 |
| Předmět: |
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| Popis: |
Electrocardiogram (ECG) is a non-invasive diagnostic tool, which interprets the electrical activity of cardiac system. It is one of the best way to monitor the health of the heart. The vital components of the ECG help in the detection of the cardiac abnormalities. Any alterations in the heart rate or rhythm propound variations in the morphological patterns of the ECG wave patterns. Abnormal ECG signals will specify the complications. The subtle variations lead to fatal clinical complication known as cardiac arrhythmia. The ECG system is normally powered with line voltage having high noise or with batteries which needs to be replaced after certain time of usage. In rural areas the availability of electricity is very scarce and to diagnose the people with arrhythmia is difficult as there exists improper power connection. Therefore, solar powered smart ECG system will be suitable for arrhythmia diagnosis in rural areas. In this work a solar powered energy storage system is designed for diagnosis of cardiac arrhythmias coupled with optimal feature rank score algorithm (FRSA) is implemented. The Support Vector Machine-FRSA helps in framing the decision between normal and cardiac arrhythmia ECG signals acquired through solar powered ECG acquisition system during the circumstances of poor power supply. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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