2008
DOI: 10.1016/j.bspc.2007.09.003
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Wavelet threshold based TDL and TDR algorithms for real-time ECG signal compression

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Cited by 53 publications
(34 citation statements)
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“…The amount of retained energy in above threshold is decided according to the clinical importance of the subband for ECG signals [17]. The sparsity in each subband is measured as the percentage of zero's in the sparse subband vector and is given as [9]:…”
Section: B Multiscale Compressed Sensing For High Frequency Eigenspamentioning
confidence: 99%
“…The amount of retained energy in above threshold is decided according to the clinical importance of the subband for ECG signals [17]. The sparsity in each subband is measured as the percentage of zero's in the sparse subband vector and is given as [9]:…”
Section: B Multiscale Compressed Sensing For High Frequency Eigenspamentioning
confidence: 99%
“…In 2-D ECG compression algorithms, 2-D transformation is applied on 2-D representation of I-D ECG signals. Detailed classifications of ECG compression algorithms (1-D, 2-D) are listed in [2].…”
Section: Compression Techniquesmentioning
confidence: 99%
“…ECG signals are digitized at sampling rates ranging from 100 to 1000 Hz with resolution of 8-12 bits per sample [2]. As a result, the produced ECG recording amounts to huge data sizes that quickly fill up available storage space.…”
Section: Introductionmentioning
confidence: 99%
“…Digitizing the ECG signals is performed at sampling rates ranging from 100 to 1000 Hz with a resolution of 8 or 12 bits per sample [3]. As a result, the data sizes of the produced ECG recording will enormously increase and fill up available storage space.…”
Section: Introductionmentioning
confidence: 99%