1 Al-Busaidi AM, "Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems" 41 (41): 166-, 2017
2 Lu Z, "Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm" 47 (47): 849-856, 2000
3 Zhao P, "Three-channel symmetric tight frame wavelet design method" 12 (12): 623-, 2013
4 Kumar A, "Heart rate monitoring and therapeutic devices : a wavelet transform based approach for the modeling and classifi cation of congestive heart failure" 79 : 239-250, 2018
5 Jha CK, "Electrocardiogram data compression using DCT based discrete orthogonal Stockwell transform" 46 : 174-181, 2018
6 Wang X, "ECG compression based on combining of EMD and wavelet transform" 52 (52): 1588-1590, 2016
7 Bhokare G, "Digital watermarking with 3-band fi lter banks" 466-470, 2008
8 Kumar A, "Design of wavelet transform based electrocardiogram monitoring system" 80 : 381-398, 2018
9 Bhati D, "Design of time–frequency optimal three-band wavelet fi lter banks with unit sobolev regularity using frequency domain sampling" 35 (35): 4501-4531, 2016
10 Kumar A, "Design of a biorthogonal wavelet transform based R-peak detection and data compression scheme for implantable cardiac pacemaker systems" 42 (42): 102-, 2018
1 Al-Busaidi AM, "Wavelet-based encoding scheme for controlling size of compressed ECG segments in telecardiology systems" 41 (41): 166-, 2017
2 Lu Z, "Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm" 47 (47): 849-856, 2000
3 Zhao P, "Three-channel symmetric tight frame wavelet design method" 12 (12): 623-, 2013
4 Kumar A, "Heart rate monitoring and therapeutic devices : a wavelet transform based approach for the modeling and classifi cation of congestive heart failure" 79 : 239-250, 2018
5 Jha CK, "Electrocardiogram data compression using DCT based discrete orthogonal Stockwell transform" 46 : 174-181, 2018
6 Wang X, "ECG compression based on combining of EMD and wavelet transform" 52 (52): 1588-1590, 2016
7 Bhokare G, "Digital watermarking with 3-band fi lter banks" 466-470, 2008
8 Kumar A, "Design of wavelet transform based electrocardiogram monitoring system" 80 : 381-398, 2018
9 Bhati D, "Design of time–frequency optimal three-band wavelet fi lter banks with unit sobolev regularity using frequency domain sampling" 35 (35): 4501-4531, 2016
10 Kumar A, "Design of a biorthogonal wavelet transform based R-peak detection and data compression scheme for implantable cardiac pacemaker systems" 42 (42): 102-, 2018
11 Wu FY, "Compressed acquisition and denoising recovery of EMGdi signal in WSNs and IOT" 14 (14): 2210-2219, 2018
12 Singh A, "Block sparsity-based joint compressed sensing recovery of multi-channel ECG signals" 4 (4): 50-, 2017
13 Kumar R, "Beta wavelet-based ECG signal compression using lossless encoding with modifi ed thresholding" 39 (39): 130-140, 2013
14 Sharma M, "An accurate sleep stages classifi cation system using a new class of optimally timefrequency localized three-band wavelet fi lter bank" 98 : 58-75, 2018
15 Hsieh JH, "Algorithm and VLSI architecture design of low-power SPIHT decoder for mhealth applications" 12 (12): 1450-1457, 2018
16 Hsieh JH, "A speed-and power-effi-cient SPIHT design for wearable quality-on-demand ECG applications" 22 (22): 1456-1465, 2018
17 Lee S, "A real-time ECG data compression and transmission algorithm for an e-health device" 58 (58): 2448-2455, 2011
18 Miaou SG, "A quality-on-demand algorithm for waveletbased compression of electrocardiogram signals" 49 (49): 233-239, 2002
19 Abo-Zahhad M, "A new algorithm for the compression of ECG signals based on mother wavelet parameterization and best-threshold levels selection" 23 (23): 1002-1011, 2013