- 報道発表（Press Release） 医療・ヘルスケアなど幅広い領域での活用を目指す、次世代型IoTデータ無線集約技術「SmartBAN」の実用化技術を発表（2018年7月23日付）
Future realized by medical information and communication technology lab.
In our laboratory, we aim the realization of innovative wireless medical health care through the integration of the information and communication technology and medical sciences. Specifically, we try to realize the following technologies:
- Medical health and long-term care cloud systems using the Body Area Network (BAN)
- New medical and health care technologies by medical and health care system and multi-function wearable vital sensor and wearable multi-transmission system according to the bio-sensor system
By using wireless communication and data analysis techniques, we are developing next-generation wireless medical health care technologies. Our laboratory realizes the future!
Message to students who are thinking of assignment to our lab
In our lab, we study the wireless transmission systems for the realization of new wireless medical health care (wireless communication technology) and applications of the new medical health care by using data analysis techniques (data analysis technology).
We are looking broadly the students who are willing to realize the new future.
A contact e-mail address
info(at)mict.info.hiroshima-cu.ac.jp (please replace the “(at)” with “@”)
The main research themes
This demonstration video shows an application of SmartBAN technology. The SmartBAN performance evaluation was done by collaboration with TOSHIBA DEVELOPMENT & ENGINEERING CORPORATION.
(An image represents the continuous blood pressure fluctuation monitoring. The displayed blood pressure trend is not clinically validated.)
We have been involving with BAN standardization in European Telecommunications Standards Institute (ETSI) (http://www.etsi.org/) and made technical contributions actively. As a result, our research results were included in Technical Specifications (TS) for ETSI SmartBAN.
Distributed sensing technology by multi-sensor
Development of ultra-compact, power-saving, unconscious sensor
Analysis of disease based on the clinical data