TY - GEN
T1 - A low power biomedical signal processing system-on-chip design for portable brain-heart monitoring systems
AU - Fang, Wai-Chi
AU - Chen, Chiu Kuo
AU - Chua, Ericson
AU - Fu, Chih Chung
AU - Tseng, Shao Yen
AU - Kang, Shih
PY - 2010
Y1 - 2010
N2 - In this paper, an overview of a brain-heart monitoring system is first given. The latest development in miniature brain-heart monitoring system for emerging health applications is highlighted. Finally, the development of a low power biomedical signal processing and image reconstruction SoC design is presented. The significance of this SoC is to enable practical developments of portable real-time brain-heart monitoring systems. The proposed architecture comprises a novel functional near-infrared (fNIR) diffuse optical tomography system for brain imaging, an independent component analysis (ICA) processor for electroencephalogram (EEG) signal analysis, and a heart rate variability (HRV) analysis processor for electrocardiogram (ECG) signal analysis. Biomedical signals acquired from front-end sensor modules are processed in real-time or bypassed according to user settings. The processed data or biomedical signals is then losslessly compressed and sent to a remote science station for further analysis and 3D visualization. The final SoC is fabricated in UMC 90nm CMOS technology.
AB - In this paper, an overview of a brain-heart monitoring system is first given. The latest development in miniature brain-heart monitoring system for emerging health applications is highlighted. Finally, the development of a low power biomedical signal processing and image reconstruction SoC design is presented. The significance of this SoC is to enable practical developments of portable real-time brain-heart monitoring systems. The proposed architecture comprises a novel functional near-infrared (fNIR) diffuse optical tomography system for brain imaging, an independent component analysis (ICA) processor for electroencephalogram (EEG) signal analysis, and a heart rate variability (HRV) analysis processor for electrocardiogram (ECG) signal analysis. Biomedical signals acquired from front-end sensor modules are processed in real-time or bypassed according to user settings. The processed data or biomedical signals is then losslessly compressed and sent to a remote science station for further analysis and 3D visualization. The final SoC is fabricated in UMC 90nm CMOS technology.
UR - http://www.scopus.com/inward/record.url?scp=77956574081&partnerID=8YFLogxK
U2 - 10.1109/ICGCS.2010.5543103
DO - 10.1109/ICGCS.2010.5543103
M3 - Conference contribution
AN - SCOPUS:77956574081
SN - 9781424468775
T3 - 1st International Conference on Green Circuits and Systems, ICGCS 2010
SP - 18
EP - 23
BT - 1st International Conference on Green Circuits and Systems, ICGCS 2010
T2 - 1st International Conference on Green Circuits and Systems, ICGCS 2010
Y2 - 21 June 2010 through 23 June 2010
ER -