title: A lossless multichannel bio-signal compression based on low-complexity joint coding scheme for portable medical devices.
abstract: Research on real-time health systems have received great attention during recent years and the needs of high-quality personal multichannel medical signal compression for personal medical product applications are increasing. The international MPEG-4 audio lossless coding (ALS) standard supports a joint channel-coding scheme for improving compression performance of multichannel signals and it is very efficient compression method for multi-channel biosignals. However, the computational complexity of such a multichannel coding scheme is significantly greater than that of other lossless audio encoders. In this paper, we present a multichannel hardware encoder based on a low-complexity joint-coding technique and shared multiplier scheme for portable devices. A joint-coding decision method and a reference channel selection scheme are modified for a low-complexity joint coder. The proposed joint coding decision method determines the optimized joint-coding operation based on the relationship between the cross correlation of residual signals and the compression ratio. The reference channel selection is designed to select a channel for the entropy coding of the joint coding. The hardware encoder operates at a 40 MHz clock frequency and supports two-channel parallel encoding for the multichannel monitoring system. Experimental results show that the compression ratio increases by 0.06%, whereas the computational complexity decreases by 20.72% compared to the MPEG-4 ALS reference software encoder. In addition, the compression ratio increases by about 11.92%, compared to the single channel based bio-signal lossless data compressor.
authors.affiliation: Embedded Software Convergence Center, Korea Electronic Technology Institute, #68 Yatop-dong, Bundang-gu, Seongnam-Si, Gyeonggi-do 463-816, Korea. dskim@keti.re.kr.
authors.forename: Dong-Sun
authors.initials: DS
authors.lastname: Kim
authors.affiliation: Embedded Software Convergence Center, Korea Electronic Technology Institute, #68 Yatop-dong, Bundang-gu, Seongnam-Si, Gyeonggi-do 463-816, Korea. jinsan.kwon@keti.re.kr.
authors.forename: Jin-San
authors.initials: JS
authors.lastname: Kwon
mesh_terms: D015374:Biosensing Techniques; D016208:Databases, Factual; D019277:Entropy; D004864:Equipment and Supplies; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D012984:Software