MULTI-LEAD ECG COMPRESSION BASED ON COMPRESSED SENSING THEORY

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EFTEKHARIFAR S.; YOUSEFI REZAII T.; DANESHVAR S.; RASTEGARNIA A.; KHALILI A.

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2017 | Volume:8 | Issue:2 Page(s): 13-23

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Title

MULTI-LEAD ECG COMPRESSION BASED ON COMPRESSED SENSING THEORY

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Keywords

COMPRESSED SENSING THEORYQ1

SPARSE REPRESENTATIONQ1

ECG SIGNALSQ1

GAUSSIAN KERNELQ1

Abstract

The purpose of this paper is to exploit the COMPRESSED SENSING THEORY in order to compress multi-lead ECG channels with a high compression ratio and minimum reconstruction error. In order to obtain the SPARSE REPRESENTATION of the ECG SIGNALS a basis matrix with GAUSSIAN KERNELs which have the maximum resemblance with ECG SIGNALS, is constructed. Then using Orthogonal matching pursuit, algorithm which is a greedy/iterative optimization technique, the SPARSE REPRESENTATION is acquired.Finally, utilizing the COMPRESSED SENSING THEORY is possible. In order to prove the accuracy of the algorithm the same optimization technique is used to reconstruct the compressed signal. Using a wavelet basis is also common to obtain the SPARSE REPRESENTATION. The COMPRESSED SENSING THEORY is also applied to the ECG SIGNALS for which their SPARSE REPRESENTATIONs have been obtained using a wavelet basis. The results show the superiority of the proposed method over the wavelet basis.

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APA: Copy

EFTEKHARIFAR, S., YOUSEFI REZAII, T., DANESHVAR, S., RASTEGARNIA, A., & KHALILI, A.. (2017). MULTI-LEAD ECG COMPRESSION BASED ON COMPRESSED SENSING THEORY. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 8(2 ), 13-23. SID. https://sid.ir/paper/203035/en

Vancouver: Copy

EFTEKHARIFAR S., YOUSEFI REZAII T., DANESHVAR S., RASTEGARNIA A., KHALILI A.. MULTI-LEAD ECG COMPRESSION BASED ON COMPRESSED SENSING THEORY. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2017;8(2 ):13-23. Available from: https://sid.ir/paper/203035/en

IEEE: Copy

S. EFTEKHARIFAR, T. YOUSEFI REZAII, S. DANESHVAR, A. RASTEGARNIA, and A. KHALILI, “MULTI-LEAD ECG COMPRESSION BASED ON COMPRESSED SENSING THEORY,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 8, no. 2 , pp. 13–23, 2017, [Online]. Available: https://sid.ir/paper/203035/en

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