DocumentCode :
245342
Title :
A highly integrated hardware design implemented on FPGA for a wireless healthcare monitoring system
Author :
Kuen-Chih Lin ; Wai-Chi Fang
Author_Institution :
Dept. of Electron. Eng. & Inst. of Electron., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2014
fDate :
26-28 May 2014
Firstpage :
187
Lastpage :
188
Abstract :
In this paper, we present a highly integrated hardware design providing several biomedical signals processing in a wireless healthcare monitoring system. This system includes a biomedical front-end circuits acquires and digitizes biomedical data such as electroencephalogram (EEG) and electrocardiogram (ECG), a control interface to connect and control the biomedical front-end circuits, a real-time online recursive independent component analysis (ORICA) engine to extract artifacts automatically of brain electroencephalogram signals, a heart rate variability (HRV) analysis engine for processing ECG signals and a display platform to display the physiological data. A commercial Bluetooth module is used to transmit wirelessly between the processor and the display platform. This system can provide several physiological data such as blood pressure, oxygen saturation and body temperature. This hardware design implemented using field-programmable gate array (FPGA) and schedule for fabricated using TSMC 90 nm CMOS technology.
Keywords :
Bluetooth; biomedical electronics; blood pressure measurement; electrocardiography; electroencephalography; field programmable gate arrays; health care; independent component analysis; medical signal processing; neurophysiology; Bluetooth module; ECG signal processing; EEG; FPGA; HRV analysis; TSMC 90 nm CMOS technology; biomedical data; biomedical front-end circuits; biomedical signal processing; blood pressure; brain electroencephalogram signals; display platform; electrocardiogram; field-programmable gate array; hardware design; heart rate variability analysis; high integrated hardware design; oxygen saturation; physiological data; real-time online recursive independent component analysis; wireless healthcare monitoring system; Biomedical monitoring; Electroencephalography; Engines; Hardware; Heart rate variability; Medical services; Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/ICCE-TW.2014.6904051
Filename :
6904051
Link To Document :
بازگشت