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

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.

[1]  Anirvan S. Nandy,et al.  Population Statistics , 1937, Nature.

[2]  R. Herndon.  Handbook of Neurologic Rating Scales , 1997 .

[3]  国立社会保障・人口問題研究所.  国立社会保障・人口問題研究所 : National institute of population and social security research : 研究所案内 , 1997 .

[4]  Yasuhiro Fukui,et al.  Assessment of gait parameter in hemiplegic patients by accelerometry , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[5]  T. Watanabe,et al.  Recognition of lower limb movements by artificial neural network for restoring gait of hemiplegic patients by functional electrical stimulation , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Y. Higashi,et al.  An unconstrained monitoring system for home rehabilitation , 2005, IEEE Engineering in Medicine and Biology Magazine.

[7]  J. Hobart.  Handbook of Neurologic Rating Scales, 2nd edn. , 2006, Journal of Neurology, Neurosurgery & Psychiatry.

[8]  Paolo Dario,et al.  Development of a Bioinstrumentation System in the Interaction between a Human and a Robot , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  C.N. Riviere,et al.  Performance Envelope and Physiological Tremor in Microsurgery , 2006, Proceedings of the IEEE 32nd Annual Northeast Bioengineering Conference.

[10]  W. T. Latt,et al.  Bandlimited Multiple Fourier Linear Combiner for Real-time Tremor Compensation , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  A. Takanishi,et al.  On the development of the bioinstrumentation system WB-1R for the evaluation of human-robot interaction - Head and hands motion capture systems - , 2007, 2007 IEEE/ASME international conference on advanced intelligent mechatronics.

[12]  Paolo Dario,et al.  Using the Waseda Bioinstrumentation System WB-1R to analyze Surgeon’s performance during laparoscopy - towards the development of a global performance index - , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Atsuo Takanishi,et al.  Waseda Bioinstrumentation system WB-2 - the new inertial measurement unit for the new motion caption system - , 2007, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[14]  Yasuo Kuniyoshi,et al.  Development of Wireless Networked Tiny Orientation Device for Wearable Motion Capture and Measurement of Walking Around, Walking Up and Down, and Jumping Tasks , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  F. Horak,et al.  Locomotion deficits in patients with early Parkinson’s Disease , 2007 .

[16]  Yong-Tae Kim,et al.  A 24-hour health monitoring system in a smart house , 2008 .

[17]  U. Haak,et al.  Society in the 21st Century , 2008 .