2019 IEEE 1st Global Conference on Life Sciences and Technologies

LifeTech 2019 | Senri Life Science Center, Osaka, Japan | March 12-14, 2019

Thank you very much for many proposals of Organized Sessions!
LifeTech 2019 has the following 10 OSs.

LifeTech 2019 Organized Sessions


OS-AIH: AI Technology Based Healthcare & Health Promotion Applications

Chair: Shohei Kato, JP (Nagoya Institute of Technology)
Co-Chairs: Toshiharu Nakai, JP (National Center for Geriatrics and Gerontology)
Junichiro Hayano, JP (Nagoya City University)
Keywords: Artificial intelligence
Data science
Machine learning
Brain machine interface
Intelligent computing using psychophysiological activity
Abstract: With the recent development of AI and data science technology, several applications using AI technology are spreading rapidly to various fields including medical and Health related services. This special session aims to contribute to health care and health promotion using AI based technology such as deep learning and machine learning approaches to brain-machine interface, data scientific methods in the psycho-physiologic studies, and so on. This session discusses the latest research at the crossroad of medical engineering and artificial intelligence.

OS-AIT: Advanced Image Technology in Applied Life Science: IoT & Deep Learning Perspectives

Chair: Thi Thi Zin, JP (University of Miyazaki)
Co-Chairs: Hiromitsu Hama, JP (Osaka City University)
Junichiro Hayano, JP (Nagoya City University)
Keywords: Video monitoring systems for analyzing human and animal behaviors
Advanced image processing and potential of its applications
Internet of things and applications
Precision dairy cow monitoring system
Neural network, deep Learning and their applications
Abstract: Advanced Image Technology from the perspectives of IoT and Deep Learning Techniques have come out in frontier lines for innovating Applied Life Science in the era of the fourth generation industrial revolution or Industry 4.0 where the production systems and production sites are built to be intelligent, connected, and autonomous in nature. In order to make these trends lively, widely, wisely and highly impacts, this session will focus on the utilizations of image technologies along with IoT advances and deep learning innovations in theoretical and practical aspects for Local Marts and Global Charts where Life Science Industries Smart.

OS-BIO: Biomedical Data Processing & Its Applications to Multimedia

Chair: Takahiro Ogawa, JP (Hokkaido University)
Co-Chairs: Sho Takahashi, JP (Hokkaido University)
Soh Yoshida, JP (Kansai University)
Keywords: Biomedical signal processing
Biomedical image & tensor processing
Collaboration with biological & multimedia data
Multimedia processing related to/inspired by biological concepts
Artificial Intelligence for multimedia processing
Abstract: Many studies related to biomedical data processing and its applications to multimedia have been intensively carried out in recent years. With the rapid development of technologies such as machine learning, it has been reported that the performance of many tasks whose targets are biological signals, medical images and tensors, multimedia data, etc. has been improved. This organized session aims at discussing such studies. The topics of interest in this organized session include, but are not limited to processing of biomedical signal, image and tensor data obtained by medical equipment and various kinds of sensors. This session also includes multimedia processing related to or inspired by biological concepts.

OS-BRF: New Technology Based on Brain Function Measurement & Stimulation

Chair: Iwaki Akiyama, JP (Doshisha University)
Co-Chair: Kohta Kobayasi, JP (Doshisha University)
Keywords: New life technology by using EEGs measurement
Application of optical engineering for measuring or controlling nerves system
Novel method and engineering technique for compensating brain dysfunction
Ultrasonic stimulation for brain function support
fMRI, EEG, fNIR
Abstract: In recent years various kinds of brain function have been clarified by MRI, EEG, NIRS and so on. To measure the brain function and/or to stimulate the brain has a potential to the development of new technology in various fields. Also various kinds of non-invasive brain measurement and stimulation techniques have been developed. These techniques have a potential to the consumer engineering as well as medical engineering. Papers related to this topics are solicited for this organized session.

OS-CMI: Clinical Medical Image Processing

Chair: Daisuke Hirahara, JP (Kagoshima Medical Professional College)
Co-Chair: Emi Yuda, JP (Nagoya City University)
Keywords: Image filter processing / evaluation, Machine learning / Deep learning
Fusion image, Segmentation & Registration
DICOM, Successive approximation reconstruction method
Structural similarity (SSIM), Texture analysis
Others and emerging new topics
Abstract: Clinical medical image processing technology is attracting more attention due to excitement of Machine Learning in recent years. In this session of clinical medical image processing, we will discuss widely the image processing technology for Biological Image Processing not only for healthy person but also clinical and medical sciences.

OS-HIT: Future of Healthcare IoT/ICT

Chair: Yoshiharu Yamamoto, JP (The University of Tokyo)
Co-Chair: Toru Nakamura, JP (Osaka University)
Keywords: Healthcare
IoT/ICT
Biosignal processing
Dynamical systems
Machine learning
Abstract: The recent development of IoT/ICT has enabled us to track our health conditions in daily life and provided a great impact on medical and healthcare fields. Wearable smart devices (wristbands, shirts, eye-glasses, etc.) can continuously measure personal health-related data such as heart rate, physical activity, or sleep qualities. Those IoT data are thought to have a great potential to diagnosis and an early detection of diseases. Therefore, the establishment of a new framework to utilize them, especially methods to extract useful information associated with diseases, have been focused. The proposed organized session will present the recent researches aiming at the evaluation of health-related risks or early detection of disease onset, based on novel signal processing, machine learning, or mathematical modeling approaches.
This session is co-orgnized by Healthcare IoT Consortium.

OS-PSY: Psychophysiological Strategy of Human-Centered Consumer Product Design

Chair: Motoharu Takao, JP (Tokai Univerisity)
Co-Chair: Emi Yuda, JP (Nagoya City University)
Keywords: Psychology
Physiology
Product design
User experience
Marketing
Abstract: Human-centered design strategy is currently applied to almost all consumer products. The most important technology to realize this strategy is psychophysiological measurement of human brain and organs. Psychophysiology is an interdisciplinary science that investigates physiological responses mediated by perceptual, cognitive and emotional processings in human brain. With psychophysiological measurement technology, we can evaluate user experiences such as excitement, relaxation, and sleep. This technology also can detect lie, aversion and boredom. In this session, scientists, engineers, designers and students are expected to give presentations about their recent studies on the application of psychophysiological technologies to human-centered consumer product designs.

OS-SHL: Sensing Technologies & Applications for Human Life Support

Chair: Yuya Koyama, JP (Soka University)
Co-Chair: Michiko Nishiyama, JP (Soka University)
Keywords: Sensors and actuators for monitoring human motion, activity, and vital signs
Data fusion using multi-sensors
Smart devices and materials, IoT, smart garments/textiles
Unobtrusive sensing for human life support
Sensor systems and applications
Abstract: A wearable and unobtrusive device is one of interests in the recent industries, such as human healthcare, sports, welfare, and rehabilitation. The devices have various sensors detecting physical parameters such as pressure, displacement, bending angle, and vibration. With these sensor technologies, human life support systems for improving quality of life can collect the information, which are human motion and vital signs, and use the data for decision-making without human intervention. This session focuses on the sensing techniques and applications to support human life. The topics in this session include, but are not limited to, sensors, actuators, devices, electronics, multi-sensor fusion, sensor systems, and intelligent system with machine learning.

OS-SWT: Health & Wellness Care Applications of Smart Wearable Technologies

Chair: Ken Kiyono, JP (Osaka University)
Co-Chair: Kohzoh Yoshino, JP (Kwansei Gakuin University)
Keywords: Wearable biosensor
Body sensor network
Smart clothing
Remote health monitoring
Telemedicine
Abstract: Smart wearable technologies are expected to have a great potential to improve people's life and create value for businesses, and the smart wearable market is expected to rapidly expand. However, it is still needed to explore application areas, such as in-hospital patient monitoring, remote health monitoring, wellness, fitness, worker safety, and senior care. This organized session will be devoted to discussion on the direction of future research as well as the practical use of smart wearable technologies.

OS-STM: Sensing Technologies for Telemedicine

Chair: Toru Kiryu, JP (Niigata Umiversity)
Co-Chair: Naoki Kobayashi, JP (Saitama Medical University)

Call for Organized Sessions

LifeTech 2019 welcomes proposals of Organized Sessions which are related to up-to-date and cross-field topics, except Regular Session Topics.

People who propose Organized Session will be required to submit the following five materials;

  1. Organized Session Title
  2. Chair and Co-chair (more than 2 persons)
  3. 5 keywords treated in the OS for paper submission systems
  4. More than 2 reviewers for the session
  5. Abstract of Organized Session (about 100 words in English)

Please fill out the Organized Session Proposal Form or the Organized Session Proposal Form (PDF), and send it to LifeTech 2019 office via e-mail.