A Novel Architecture for Mobile ECG Recognition Systems Using Hybrid Wavelet Transform Feature Extraction Schemes
| Autor: | Sarayut Poolsanguan, Comdet Phaudphut, Kanokmon Rujirakul, Boonsup Waikham, Chakchai So-In, Nattanicha Phokaped |
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| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Journal of Convergence Information Technology. 8:471-484 |
| ISSN: | 2233-9299 1975-9320 |
| DOI: | 10.4156/jcit.vol8.issue11.54 |
| Popis: | For years, the cardiovascular disease has severely endangered the human life. One key point of all critical cares is to continuously monitor whoever is in a high-risk of sudden attack, and to immediately alert for professionally on-time aids. Thus, in this research, a novel architecture to aid patients to be with caretakers wherever and whenever they are is proposed. This research describes instruments and components of the key design of the architecture including a continuous monitoring module integrating ECG measurement units with RF (Bluetooth) transmission module embedded in an easy-to-use openplatform mobile phone for relaying the signal to ECG recognition systems. The mobile system can interact with mobile doctors, patient’s relatives or even volunteers as well as emergency units, especially to deliver patient condition information and GPS location for further professional aids. In addition, to reduce the false alarm of ECG recognition, we proposed the hybrid scheme applying additional features extracted over a traditional wavelet transform technique resulting in a high recognition precision with PNN classification based on a well-known MIT-BIH arrhythmia database. |
| Databáze: | OpenAIRE |
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