Browsing by Author "Lin, Kuen-Chih"

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A Highly Integrated Biomedical Multiprocessor SoC Design for a Wireless Bedside Monitoring System
(2014-01-01)
Lin, Kuen-Chih
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Liao, Jui-Chieh
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Fang, Wai-Chi
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電機工程學系
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Department of Electrical and Computer Engineering
This paper presents a highly integrated multiprocessor system-on-chip (SoC) design, enabling real-time processing of multi-biomedical signals in a wireless bedside monitoring system. This system includes a real-time online recursive independent component analysis (ORICA) processor to automatically remove brain electroencephalogram (EEG) artifacts signals, a heart rate variability (HRV) analysis processor for monitoring electrocardiogram (ECG) signals, and a basic biomedical signal processor for monitoring common physiological data such as oxygen saturation, blood pressure, or body temperature. The multiprocessor chip is fabricated using TSMC 90 nm CMOS technology, and occupies a core area of 1,600 x 1,600 um(2). Simulated power consumption is 15.89 mW under the conditions of 1.0V core supply voltage and 64 MHz clock operation frequency.
A Highly Integrated Hardware Design Implemented on FPGA for a Wireless Healthcare Monitoring System
(2014-01-01)
Lin, Kuen-Chih
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Fang, Wai-Chi
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電子工程學系及電子研究所
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Department of Electronics Engineering and Institute of Electronics
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.
An Advanced Hardware Design Based on Ensemble Empirical Mode Decomposition Algorithm for Heart Sound Signal Processing
(2013)
Chou, Chia-Ching
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Lin, Kuen-Chih
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Fang, Wai-Chi
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Li, Arvin Huang-Te
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Chang, Yu-Ching
In this study, an advanced hardware design for heart sound signal processing based on ensemble empirical mode decomposition (EEMD) is developed and implemented. The EEMD method [1] is developed to alleviate a key drawback in the original empirical mode decomposition (EMD) algorithm. In a previous research, Huang et al. [2] developed an adaptive and efficient EMD method for nonlinear and nonstationary signal analysis. The physical meaning of a single intrinsic mode function (IMF) is obscure, and the original EMD algorithm cannot separate signals with different scales into appropriate IMFs. To overcome this major drawback, a noise-assisted data analysis (NADA) method called EEMD is developed. Heart sound signals are fed into the proposed system to simulate the EEMD-fixed-point performance. A comparison of the floating-point and fixed-point results exhibits satisfactory consistency and demonstrates that our design can accommodate wide variations of dynamic ranges and complicated calculations.
An Efficient and Accurate Empirical Mode Decomposition of the Technical Design and Methods for Biological Sound
(2012)
Fang, Wai-Chi
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Chou, Chia-Ching
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Hung, Tzu-Hsun
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Lin, Kuen-Chih
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Li, Arvin Huang-Te
An EMD-based algorithm for bio-sound signal processing was proposed and implemented on VEX330 Xilinx FPGA. A free-format fixed point library was development to deal with overflow and underflow problems. Downsampled phonocardiogram signals were fed into our EMD-processor. Comparison of floating point and fixed point results exhibited satisfactory consistency and demonstrated that our novel fixed point library are able to accommodate with wild variations of dynamic ranges.