Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2008.05a
- /
- Pages.285-288
- /
- 2008
Multidimensional Adaptive Noise Cancellation of Stress ECG Signal
- Gautam, Alka (Graduate School of Design & IT, Dongseo University) ;
- Lee, Young-Dong (Graduate School of Design & IT, Dongseo University) ;
- Chung, Wan-Young (Division of Computer & Informational Engineering, Dongseo University)
- Published : 2008.05.30
Abstract
In ubiquitous computing environment the biological signal ECG (Electrocardiogram signal) is usually recorded with noise components. Adaptive interference (or noise) canceller do adaptive filtering of the noise reference input to maximally match and subtract out noise or interference from the primary (signal plus noise) input thereby adaptively eliminate unwanted interference from the ECG signal. Measured Stress ECG (or exercise ECG signal) signal have three major noisy component like baseline wander noise, motion artifact noise and EMG (Electro-mayo-cardiogram) noise. These noises are not only distorted signal but also root of incorrect diagnosis while ECG data are analyzed. Motion artifact and EMG noises behave like wide band spectrum signals, and they considerably do overlapping with the ECG spectrum. Here the multidimensional adaptive method used for filtering which is more effective to improve signal to noise ratio.
Keywords
- Electrocardiogram (ECG);
- Multidimensional adaptive filtering;
- EMG noise;
- motion artifacts;
- ubiquitous computing environment