A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical Devices

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 joi...

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Main Authors: Dong-Sun Kim, Jin-San Kwon
Format: Article
Language:English
Published: MDPI AG 2014-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/9/17516
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spelling doaj-cd2b36074b2e4525b40b8f3b55b163b72020-11-24T22:19:47ZengMDPI AGSensors1424-82202014-09-01149175161752910.3390/s140917516s140917516A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical DevicesDong-Sun Kim0Jin-San Kwon1Embedded Software Convergence Center, Korea Electronic Technology Institute, #68 Yatop-dong, Bundang-gu, Seongnam-Si, Gyeonggi-do 463-816, KoreaEmbedded Software Convergence Center, Korea Electronic Technology Institute, #68 Yatop-dong, Bundang-gu, Seongnam-Si, Gyeonggi-do 463-816, KoreaResearch 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.http://www.mdpi.com/1424-8220/14/9/17516biosensormultichannel bio-signalsjoint codingmedical device
collection DOAJ
language English
format Article
sources DOAJ
author Dong-Sun Kim
Jin-San Kwon
spellingShingle Dong-Sun Kim
Jin-San Kwon
A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical Devices
Sensors
biosensor
multichannel bio-signals
joint coding
medical device
author_facet Dong-Sun Kim
Jin-San Kwon
author_sort Dong-Sun Kim
title A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical Devices
title_short A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical Devices
title_full A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical Devices
title_fullStr A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical Devices
title_full_unstemmed A Lossless Multichannel Bio-Signal Compression Based on Low-Complexity Joint Coding Scheme for Portable Medical Devices
title_sort lossless multichannel bio-signal compression based on low-complexity joint coding scheme for portable medical devices
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2014-09-01
description 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.
topic biosensor
multichannel bio-signals
joint coding
medical device
url http://www.mdpi.com/1424-8220/14/9/17516
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AT jinsankwon losslessmultichannelbiosignalcompressionbasedonlowcomplexityjointcodingschemeforportablemedicaldevices
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