Japan-Taiwan Joint Workshop on Biomedical Engineering Translational Research

活動時間:2012.03.29 08:30-18:00



Title of Talk 1:
Exploring an artificial vision

Tetsuya Yagi
Graduate School of Engineering Osaka University, Japan
e-mail: yagi@eei.eng.osaka-u.ac.jp

Abstract of Talk:
The brain computes image with quite different algorithm and architecture from those of the conventional digital image processing system. In mammals, visual information is transmitted in parallel mainly to the primary visual cortex, V1, via the lateral geniculate neuclius (LGN) after sophisticated pre-processing in the retinal circuit. In these visual circuits, images are perceived promptly and stably with extremely high computational efficiency, although the reaction speed of neurons is much slower than that of semiconductor devices. In this regards, it is interesting to develop an image processing system mimicking the architecture of the visual circuits not only from engineering but also from physiological perspectives. We are designing a novel image processing system, namely an artificial vision, inspired by the architecture and computational algorithm of the visual circuits employing very large scale integrated (aVLSI) circuit technology. In this talk, I firstly review previous physiological observations thought to be important to understand the efficient computation in the visual circuits and related VLSI circuit designing techniques inspired by these physiological observations. Then, I demonstrate a prototype robotic vision which is designed to emulate a part of the real time visual computations performed in the visual circuits in our group. Finally, I will refer to the possibility of visual prostheses using the artificial vision sensor.

Brief Biography of Speaker:
Tetsuya Yagi received the Ph.D. degree in medical science from Nagoya University, Nagoya, Japan, in 1985. Following his study as a Postdoctoral Fellow with the National Institute of Physiological Science, Okazaki Japan, and the Rockefeller University, New York, he joined Kyushu Institute of Technology as an Associate Professor in 1990. He is currently a Professor with the Graduate School of Engineering, Osaka University. He is also a vice-director of the Center for Advanced Medical Engineering and Informatics (MEI center), Osaka University. His research interests include neurophysiology of visual systems, and neuromorphic engineering systems and their applications for medicine.

Title of Talk 2:
Research Overview of BETRC at NCTU

Herming Chiueh
Department of Electrical Engineering, Deputy Director, Biomimetic Systems Research Center,
National Chiao Tung University, Hsinchu, Taiwan.
e-mail: chiueh@soclab.org

Abstract of Talk:
In recent years, research teams in biomedical electronics translational research center at NCTU have focused on the development of implanted neural prostheses. In this talk, an overview about platform technology of implanted neural prostheses, retinal prostheses device, and closed-loop epileptic seizure detection and conditional stimulation are presented. First, in platform technology, we have developed analog-frontend circuits, stimulators, bio-signal processing, data-converters, micro-electrodes array, animal models, bio-signal processing algorithms and embedded systems in past 6 years. Second, the NCTU retinal prosthesis project target to retinitis pigmentosa (RP) and age-related macular degeneration (AMD), by using solar-cell drive device with image-captured projection and enhancing systems, an implant chip for visual prosthesis for in vivo and in vitro study is presented. Third, the neural prosthetic device with closed-loop epileptic seizure detection and conditional therapeutic stimulation is presented. The developed circuitries detect the seizure’s signal before it propagates to the whole cortex and activate stimulations to stop the seizure. A prototype portable seizure controller is assembled according to designed circuits with real-time seizure detection algorithms. Preliminarily experimental tests in two epileptic animal models, indicating at least 92% seizure detection rate and suppression of seizure activity by conditional stimulation. The proposed prosthetic device with closed-loop epileptic seizure detection and stimulation yields offers a promising treatment for absence epilepsy.

Brief Biography of Speaker:
Herming Chiueh received his B.S. degree in Electrophysics from National Chiao Tung University, Hsinchu, Taiwan, and his M.S. and Ph.D. degrees in Electrical Engineering from University of Southern California, Los Angeles. From 1996 to 2002, he was with Information Sciences Institute, University of Southern California, Marina del Rey, CA. He has participated the VLSI effort on several large projects in USC/ISI and most recently participated the development of a 55-million transistor processing-in-memory (PIM) chip. He currently serves as an Assistant Professor of the Department of Electrical Engineering and the Deputy Director of the Biomimetic Systems Research Center at National Chiao Tung University, Hsinchu, Taiwan. His research interests include system-on-chip design methodology, low-power integrated circuits, mixed-signal circuits and systems, neural interface circuits, and biomimetic systems.

Title of Talk 3:
A Micro Universal Bio Device for Artificial Vision

Seiji Kameda
The Center for Advanced Medical Engineering and Informatics, Osaka University, Japan
e-mail: kameda@eei.eng.osaka-u.ac.jp

Abstract of Talk:
Recently, a hybrid artificial organ becomes an active area of research and development, such as artificial heart, bionic arm and leg, brain machine interface (BMI) and artificial vision. These hybrid artificial organs have common and required elements: an analog interface such as sensor and stimulator, an in-vivo processor to control the analog interface, an in-vitro processor to deal with huge information from and to body tissue and wireless interconnection between in-vivo and in-vitro processors. Therefore, a micro universal bio (µUB) device consisting of these common elements has been proposed to apply universally to a variety of the hybrid artificial organs by our project in Osaka university. Toward the development of the µUB device, we are studying the artificial vision based on intracortical microstimulation of the visual cortex. We are developing a prototype cortex stimulation chip for physiological experiment. The stimulation chip consists of line parallel current amplifiers, D/A converters, stimulus position register, sequence register and gain register, and has 4 x 5 pads to connect to a multi-electrode array. The stimulation chip will be fabricated by TSMC 0.25um CMOS technology. And in our artificial vision, a silicon retina, which is a retinomorphic VLSI vision sensor, is used as imaging device and realizes spatial and temporal visual processing in the visual pathway from retina to visual cortex. The silicon retina implemented with a 0.25µm CMOS image sensor technology calculates spatial derivatives. And a vision system consisting of the silicon retina and FPGA can add temporal filtering.

Brief Biography of Speaker:
Seiji Kameda received the Ph.D. degree in computer science and system engineering from Kyushu Institute of Technology, Japan, in 2001. He was an associate professor of Research Institute for Nanodevice and Bio Systems, Hiroshima University, Japan, in 2006. Since 2011, he is an associate professor of the Center for Advanced Medical Engineering and Informatics, Osaka University, Japan. His research interests include an implementation of neuromophic analog VLSI, an artificial vision and their industrial application.

Title of Talk 4:
Bio-medical Circuit and System for Renal Function and Urinary Tract Infection

Hong-Yi Huang
Graduate Institute of Electrical Engineering, National Taipei University, Taiwan
e-mail: hyhuang@gm.ntpu.edu.tw

Abstract of Talk:
Urinary tract infection (UTI) normally occurs on children, pregnant women and aged population. UTI is defined as a lower tract (acute cystitis) or upper tract (acute pyelonephritis) infection. Upper urinary tract infections may lead to renal scarring, hypertension, and end-stage renal dysfunction. Consequently, to develop a UTI-detecting IC integrated with sensor and Bio-SoC together could be targeted to the clinical analytes, which include nitrite, pH, and creatinine. These analytes are essential to the above mentioned pathological changes. Real-time telemetry systems are presented for physiological signal acquisition and electrochemical sensors applications, respectively. Readout chips, which include a potentiostat and an instrumentation amplifier (IA), were implemented as the interface between the sensor and the back-end circuit. Users can perform electrochemical detection or monitor biopotential signals conveniently. The acquired data is then displayed in real-time on the developed user-friendly graphical user interface (GUI) and optionally uploaded to a database via the internet, allowing it to be accessed remotely. By integrating the proposed system with electrochemical sensors, the detection of analytes can be conveniently performed with a small sample size, reducing the cost of analysis.

Brief Biography of Speaker:
Hong-Yi Huang was born in Taiwan in 1965. He received the B.S. degree in Nuclear Engineering from the National Tsing-Hua University, Hsinchu, Taiwan in 1987 and the M.S. and Ph.D. degrees from the Institute of Electronics, National Chiao-Tung University, Hsinchu, Taiwan in 1989 and 1994, respectively. He was with Industrial Technology Research Institute (ITRI), Taiwan from 1994 to 1999, engaged in mixed-signal integrated circuits design. He was with the Department of Electronic Engineering, Fu-Jen Catholic University, Taiwan since 1999. He is an associate professor in Graduate Institute of Electrical Engineering, National Taipei University, Taiwan since 2006. His research interests are in bio-circuits and systems, high-speed and low-power low-voltage integrated circuits and systems, embedded memory, analog and communication integrated circuits. He has authored and co-authored over 60 research papers and 40 patents.

Title of Talk 5:
Reliability Enhancement and Energy Consumption Reduction in Biological Information Sensing System for Medical and Healthcare Applications

Prof. Masaharu Imai
Graduate School of Information Science and Technology, Osaka University, Japan
e-mail: imai@ist.osaka-u.ac.jp

Abstract of Talk:
Biological information sensing is the key to medical and healthcare in the aging society, where less invasive, non-restraining, less aware, long term and real time measurement method is desired. In order to satisfy these requirements, sensing nodes should be of lighter weight, smaller size, less energy consuming, and more reliable. Wireless communication is necessary in these systems and ECC (Error Check and Correction) is the mandatory to enhance the reliability. However, the tradeoff between the reliability and energy consumption should be considered to optimize the system.

In this presentation, requirements to biological information sensing systems are introduced, and the inner bladder pressure sensing system is illustrated as one of the implantable sensing nodes. In this system, an SoC (System on Chip) named MeSOC-I (Medical domain specific SoC, type I) is used to control the sensing node. An ASIP (Application domain Specific Instruction set Processor) named MeDIX-I (Medical Domain specific Instruction eXtention, type I) is used as a micro controller as well as energy efficient ECC processor in MeSOC-I, where the energy consumption for ECC processing can be reduced to about 10% compared to software implementation using RISC instructions.

Brief Biography of Speaker:
Masaharu Imai received B.E. degree in Electrical Engineering in 1974, M.S. and Ph.D. degrees in Information Science in 1976 and 1979, respectively, from Nagoya University, Japan. In 1979, he joined to the Department of Information Science, School of Engineering, Toyohashi University of Technology, Japan, where his final position was a professor. In 1996, he joined to the Department of Information Science, Graduate School of Engineering Science, Osaka University as a professor. From 2002 to present, he is a professor of the Graduate School of Information Science and Technology, Osaka University.

Title of Talk 6:
Establishment and application for epileptic rat models

Fu-Zen Shaw
Department of Psychology & Institute of Cognitive Science, National Cheng Kung University, Taiwan
e-mail: fzshaw@mail.ncku.edu.tw

Abstract of Talk:
Epilepsy is characterized by a sudden and recurrent malfunction of the brain resulting in poor life quality and great social loads. A considerable of patients cannot be treated sufficiently by available therapies. Three epileptic rat models, including spontaneous absence epilepsy, pentylenetetrazol-induced seizure, and amygdala kindling-induced convulsive temporal lobe epilepsy, were established. Lateral cortical region plays an important role in the genesis of spontaneous or pentylenetetrazol-induced seizures. Callosotomy is significantly reduced spontaneous or pentylenetetrazol-induced seizures and results in asynchronous seizure patterns. Rats with spontaneous absence epilepsy are resistant to develop convulsive seizure behavior and psychiatric comorbidity through amygdala kindlings. Recently, a closed-loop seizure controller with the stimulation of the zona incerta is developed. Real-time seizure detection (<1s) then stimulation (20-50uA) was developed and demonstrated in rats with spontaneous spike-wave discharges or pentylenetetrazol-induced seizures. A high successful rate (92-99%) to stop seizures is found in these two epileptic models. Moreover, false alarms caused no obvious behavioral dysfunction. In the future, we are going to test the closed-loop seizure controller in rats with convulsive temporal lobe seizures.

Brief Biography of Speaker:
Fu-Zen Shaw received the B.S. degree in biomedical engineering from Chung Yuan Christian University, Zhongli, Taiwan, and the M.S. and Ph.D. degrees in electrical engineering from National Taiwan University, Taipei, Taiwan. He was with Tzu Chi University, Hualien, Taiwan, and National Chiao Tung University, Hsinchu, Taiwan, from 1999 to 2006. He is currently a Professor and the Head of the Department of Psychology and the Institute of Cognitive Science, with a joint appointment in the Institute of Basic Medicine Therapy and the Institute of Gerontology, National Cheng Kung University, Tainan, Taiwan. His research interests include the establishment of animal models of neurological diseases (e.g., epilepsy, fibromyalgia, stroke, and sleep disorders) for the investigation of mechanisms and therapeutic platforms, the development of neurocognitive rehabilitation, neurofeedback training, sleep and memory, and home-based health research.