Wireless Monitoring of ECG Signal in Infants Using SWM and DWT Techniques

Date

2018-11-02

Author

Rashid, Haroon
Qadir, Zakria
Zia, Moaz
Nesimoglu, Tayfun

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Human heart cardiac muscles activities can be represented graphically using electrical impulses. Electrocardiography (ECG) signals are very important for physicians to diagnose heart disease. In this study, Bluetooth device is used to transmit data wirelessly. For this purpose, the generated signal from heart beat sensor is analyzed in MATLAB using Support Vector Machine (SVM) and Discrete Wavelet Transform (DWT) techniques. ECG Simulator compares the actual signal of infants with the reference signal and notify the physician about healthy or unhealthy ECG signals. Additionally, simulating the ECG pattern of different infants before designing and developing any biomedical technology is quite efficient and cost-effective.

Subject Keywords

ECG, FFT, DWT, SVM, Infants, Bluetooth

URI

https://hdl.handle.net/11511/67364

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Engineering, Conference / Seminar

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Citation Formats

H. Rashid, Z. Qadir, M. Zia, and T. Nesimoglu, “Wireless Monitoring of ECG Signal in Infants Using SWM and DWT Techniques,” 2018, p. 317, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67364.