TY - GEN
T1 - JSM-2 based ECG compression with statistical support prediction
AU - Yu, Sucheng
AU - Liu, Bin
AU - Qiao, Wei
AU - Zhang, Chi
AU - Chen, Chang Wen
AU - Cai, Jian
PY - 2013
Y1 - 2013
N2 - This paper addresses the problem of developing an efficient compression scheme with high quality and low computational complexity for ECG signal compression. Taking into account the joint sparsity existing in ECG data and the temporal dependencies in ECG signal sequence, a novel scheme for JSM-2 based ECG compression is developed to exploit these characteristics. We first predict support information in sparse domain from the previous ECG data for the current recovery process. Then a modified Simultaneous Orthogonal Matching Pursuit Algorithm (SOMP) algorithm is proposed to incorporate the idea of support information establishment for JSM-2 based ECG compression. Simulation results show that the proposed JSM-2 based ECG compression scheme with statistical support prediction outperforms existing schemes with enhanced performance and low computational complexity.
AB - This paper addresses the problem of developing an efficient compression scheme with high quality and low computational complexity for ECG signal compression. Taking into account the joint sparsity existing in ECG data and the temporal dependencies in ECG signal sequence, a novel scheme for JSM-2 based ECG compression is developed to exploit these characteristics. We first predict support information in sparse domain from the previous ECG data for the current recovery process. Then a modified Simultaneous Orthogonal Matching Pursuit Algorithm (SOMP) algorithm is proposed to incorporate the idea of support information establishment for JSM-2 based ECG compression. Simulation results show that the proposed JSM-2 based ECG compression scheme with statistical support prediction outperforms existing schemes with enhanced performance and low computational complexity.
UR - https://www.scopus.com/pages/publications/84894146556
U2 - 10.1109/HealthCom.2013.6720670
DO - 10.1109/HealthCom.2013.6720670
M3 - Conference contribution
AN - SCOPUS:84894146556
SN - 9781467358019
T3 - 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
SP - 218
EP - 222
BT - 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
T2 - 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
Y2 - 9 October 2013 through 12 October 2013
ER -