Key result
A thresholding-based method using wavelet packets efficiently encodes ECG signals without requiring QRS detection or a priori signal information, offering an alternative for ECG compression.
Wavelet packets offer an efficient and versatile alternative for ECG signal compression that does not require QRS detection.
May simplify ECG compression in resource-limited settings without QRS detection; leaves open prospective validation before clinical adoption.
Most of the recent electrocardiogram (ECG) compression approaches developed with the wavelet transform are implemented using the discrete wavelet transform. Conversely, wavelet packets (WP) are not extensively used, although they are an adaptive decomposition for representing signals. In this paper, we present a thresholding-based method to encode ECG signals using WP. The design of the compressor has been carried out according to two main goals: (1) The scheme should be simple to allow real-time implementation; (2) quality, i.e., the reconstructed signal should be as similar as possible to the original signal. The proposed scheme is versatile as far as neither QRS detection nor a priori signal information is required. As such, it can thus be applied to any ECG. Results show that WP perform efficiently and can now be considered as an alternative in ECG compression applications.
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Blanco–Velasco et al. (2007) studied ECG compression. Wavelet packets (WP) thresholding-based method was evaluated on ECG signal compression and reconstruction quality. A thresholding-based method using wavelet packets efficiently encodes ECG signals without requiring QRS detection or a priori signal information, offering an alternative for ECG compression.
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