Waseda Bioinstrumentation System #3 as a tool for objective rehabilitation measurement and assessment - Development of the inertial measurement unit

Salvatore Sessa, Massimiliano Zecca, Zhuohua Lin, Tomoya Sasaki, Kazuko Itoh, Atsuo Takanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In our elderly-dominated society, there is considerable expectation for a growing need for home, medical, and nursing care services to assist this aging society, both from the physical and psychological points of view. Among these services, special importance has the rehabilitation process and specifically the clinical assessments of motor abilities. The current rehabilitation process, however, lacks of objectiveness. Our research is aimed at the development of a portable Bioinstrumentation System that can objectively measure and assess the physical and physiological effects of the rehabilitation therapy, both in the hospital/rehabilitation center and at home, by integrating the analysis of human motion into the analysis of physiological indexes. More specifically, objective of this research is to develop a wearable bioinstrumentation system capable of an objective analysis of the physical and psychological conditions of the user during the activities of daily life.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009
Pages115-120
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 17
Event2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009 - Kyoto, Japan
Duration: 2009 Jun 232009 Jun 26

Publication series

Name2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009

Conference

Conference2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009
CountryJapan
CityKyoto
Period09/6/2309/6/26

Keywords

  • Human-machine interface/interaction
  • IMU sensors
  • Motion tracking

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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