Title :
A low power biomedical signal processing system-on-chip design for portable brain-heart monitoring systems
Author :
Fang, Wai-Chi ; Chen, Chiu-Kuo ; Chua, Ericson ; Fu, Chih-Chung ; Tseng, Shao-Yen ; Kang, Shih
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
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.
Keywords :
CMOS digital integrated circuits; biomedical electronics; digital signal processing chips; electrocardiography; electroencephalography; image reconstruction; independent component analysis; integrated circuit design; low-power electronics; medical image processing; optical tomography; patient monitoring; system-on-chip; CMOS technology; SoC; brain imaging; electrocardiogram; electroencephalogram; front-end sensor modules; heart rate variability; image reconstruction; independent component analysis processor; low power biomedical signal processing; near-infrared diffuse optical tomography system; portable brain-heart monitoring systems; size 90 nm; system-on-chip design; Biomedical monitoring; Biomedical optical imaging; Biomedical signal processing; Heart rate variability; Independent component analysis; Process design; Signal analysis; Signal design; Signal processing; System-on-a-chip;
Conference_Titel :
Green Circuits and Systems (ICGCS), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6876-8
Electronic_ISBN :
978-1-4244-6877-5
DOI :
10.1109/ICGCS.2010.5543103