The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Gait Rhythm of Parkinson’s Disease Patients and an Interpersonal Synchrony Emulation System Based on Cooperative Gait
|
|
Author(s): Hirotaka Uchitomi (Tokyo Institute of Technology, Japan), Kazuki Suzuki (Tokyo Institute of Technology, Japan), Tatsunori Nishi (Tokyo Institute of Technology, Japan), Michael J. Hove (Tokyo Institute of Technology, Japan & Max Planck Institute for Human Cognitive and Brain Sciences, Germany), Yoshihiro Miyake (Tokyo Institute of Technology, Japan), Satoshi Orimo (Kanto Central Hospital, Japan)and Yoshiaki Wada (Nissan Tamagawa Hospital, Japan)
Copyright: 2013
Pages: 16
Source title:
Biomedical Engineering and Cognitive Neuroscience for Healthcare: Interdisciplinary Applications
Source Author(s)/Editor(s): Jinglong Wu (Okayama University, Japan)
DOI: 10.4018/978-1-4666-2113-8.ch005
Purchase
|
Abstract
Parkinson’s disease (PD) and basal ganglia dysfunction impair movement timing, and this impairment leads to gait instability and falls. Gait disturbances of PD can occur in numerous ways, including festinating (accelerating) gait, slow shuffling gait, or highly variable random stride-timing. The authors’ research group is studying an ambulatory assistive system that is based on the cooperative gait among human beings for locomotion rehabilitation. In this chapter, they introduce gait disturbances of PD, especially festinating gait, and they introduce an Interpersonal synchrony emulation system between a human and a virtual biped robot, which entrains the gait timings of the human and the robot in a cross-feedback manner by presenting auditory stimulation that indicates the timing of the partner’s foot contact with the ground. In a pilot study that evaluated walking with the system, the festinating gaits of the PD patients were improved, and carry-over effects were observed. These results suggested that the interpersonal interaction seems to be effective for the welfare support of locomotive ability.
Related Content
|
Saloua Mabsor-Zgandaoui, Khawla Rachmoune, Ilham Aftais, Fatima Ezzahra Elamrani, Imade Amradi, Adil El Housseini, Youssef Ait Hamdan, Youness Zgandaoui, Abdelghani Iddar, Mohammed El Mzibri, Adnane Moutaouakkil, Aboubaker El Hessni, Abdelhalim Mesfioui.
© 2026.
30 pages.
|
|
Yusuf Olatunji Waidi.
© 2026.
20 pages.
|
|
Ajinkya Nene, Sorour Sadeghzade, Wenjie Yang, Prakash Somani.
© 2026.
12 pages.
|
|
Seyyed Mohammad Amin Mousavi-Sagharchi, Mahdieh Ranjbar-Jamalabadi, Sama Yavari, Elina Afrazeh, Naresh Poondla, Mohsen Sheykhhasan.
© 2026.
32 pages.
|
|
Wenqiang Xie, Yuan Su, Ruiqi Zhang, Sijia Li, Jia Ni, Longquan Shao.
© 2026.
18 pages.
|
|
Zhengao Wang, Huiyu Zhao, Yao Han, Wuyi Zhou, Chengyun Ning.
© 2026.
30 pages.
|
|
Navya Aggarwal, Shinjini Sen, Tanmay J. Urs, Shreya Gupta, Banashree Bondhopadhyay.
© 2026.
36 pages.
|
|
|