Hung KC, Tsai CF, Ku CT, Wang HS. A linear quality control design for high efficient wavelet-based ECG data compression.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2009;
94:109-117. [PMID:
19070935 DOI:
10.1016/j.cmpb.2008.08.007]
[Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2008] [Revised: 08/20/2008] [Accepted: 08/20/2008] [Indexed: 05/27/2023]
Abstract
In ECG data compression, maintaining reconstructed signal with desired quality is crucial for clinical application. In this paper, a linear quality control design based on the reversible round-off non-recursive discrete periodized wavelet transform (RRO-NRDPWT) is proposed for high efficient ECG data compression. With the advantages of error propagation resistance and octave coefficient normalization, RRO-NRDPWT enables the non-linear quantization control to obtain an approximately linear distortion by using a single control variable. Based on the linear programming, a linear quantization scale prediction model is presented for the quality control of reconstructed ECG signal. Following the use of the MIT-BIH arrhythmia database, the experimental results show that the proposed system, with lower computational complexity, can obtain much better quality control performance than that of other wavelet-based systems.
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