This paper proposes an adaptive signal extraction method that uses Discrete Wavelet Transformation coupled with adaptive parameters to address variated heartwave signal due to varying heartrates. The characteristic features of the heartwave signal comprises of the P-wave, QRS-complex, Twave, onset and offset of P-wave and T-wave. Using statistically deduced parameters, the PR and QT interval parameters were incorporated where the signal extraction method can be made adaptive to varying heartrate that resulted in a very reliable signal extraction methods. Work was tested on the public database where individuals underwent treadmill testing and 95% of the heartwave signal characteristics were successfully extracted.
|Title of host publication
|2nd IET International Conference on Intelligent Signal Processing 2015 (ISP)
|Published - 17 Nov 2016
|2nd IET International Conference on Intelligent Signal Processing 2015, ISP 2015 - London, United Kingdom
Duration: 1 Dec 2015 → 2 Dec 2015
|2nd IET International Conference on Intelligent Signal Processing 2015, ISP 2015
|1/12/15 → 2/12/15