Key result
A new real-time ECG compression method based on wavelet transform was developed and tested on the MIT-BIH Arrhythmia database for packetized telecardiology applications.
The developed wavelet-based ECG compression method enables efficient real-time data transmission for wired and wireless telecardiology applications.
May enable efficient telecardiology transmission; hypothesis-generating and requires prospective clinical validation.
A new real-time compression method for electrocardiogram (ECG) signals has been developed based on the wavelet transform approach. The method is specifically adaptable for packetized telecardiology applications. The signal is segmented into beats and a beat template is subtracted from them, producing a residual signal. Beat templates and residual signals are coded with a wavelet expansion. Compression is achieved by selecting a subset of wavelet coefficients. The number of selected coefficients depends on a threshold which has different definitions depending on the operational mode of the coder. Compression performance has been tested using a subset of ECG records from MIT-BIH Arrhythmia database. This method has been designed for real-time packetized telecardiology scenarios both in wired and wireless environments.
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Alesanco et al. (2006) studied Electrocardiogram (ECG) signals. Real-time compression method based on wavelet transform was evaluated on Compression performance. A new real-time ECG compression method based on wavelet transform was developed and tested on the MIT-BIH Arrhythmia database for packetized telecardiology applications.
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