Literature DB >> 33501179

Synchronized Tactile Stimulation on Upper Limbs Using a Wearable Robot for Gait Assistance in Patients With Parkinson's Disease.

Takayuki Kishi1, Taiki Ogata2, Hiroki Ora2, Ryo Shigeyama1, Masayuki Nakayama3, Masatoshi Seki4, Satoshi Orimo5, Yoshihiro Miyake2.   

Abstract

This study aimed to investigate whether using a wearable robot applying interactive rhythmic stimulation on the upper limbs of patients with Parkinson's disease (PD) could affect their gait. The wearable robot presented tactile stimuli on the patients' upper limbs, which was mutually synchronized with the swing of their upper limbs. We conducted an evaluation experiment with PD patients (n = 30, Modified Hoehn-Yahr = 1-3, on-state) to investigate the assistance effect by the robot and the immediate after-effect of intervention. The participants were instructed to walk 30 m under four different conditions: (1) not wearing the robot before the intervention (Pre-condition), (2) wearing the robot without the rhythm assistance (RwoA condition), (3) wearing the robot with rhythm assistance (RwA condition), and (4) not wearing the robot immediately after the intervention (Post-condition). These conditions were conducted in this order over a single day. The third condition was performed three times and the others, once. The arm swing amplitude, stride length, and velocity were increased in the RwA condition compared to the RwoA condition. The coefficient of variance (CV) of the stride duration was decreased in the RwA condition compared to the RwoA condition. These results revealed that the assistance by the robot increased the gait performance of PD patients. In addition, the stride length and velocity were increased and the stride duration CV was decreased in the Post-condition compared to the Pre-condition. These results show that the effect of robot assistance on the patient's gait remained immediately after the intervention. These findings suggest that synchronized rhythmic stimulation on the upper limbs could influence the gait of PD patients and that the robot may assist with gait rehabilitation in these patients.
Copyright © 2020 Kishi, Ogata, Ora, Shigeyama, Nakayama, Seki, Orimo and Miyake.

Entities:  

Keywords:  Parkinson's disease; abnormal gait; gait assist; rhythm synchronization; stimulation on upper limbs; wearable robot

Year:  2020        PMID: 33501179      PMCID: PMC7806086          DOI: 10.3389/frobt.2020.00010

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  49 in total

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Review 2.  Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling.

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4.  Fractal dynamics of human gait: stability of long-range correlations in stride interval fluctuations.

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5.  Rhythmic auditory-motor facilitation of gait patterns in patients with Parkinson's disease.

Authors:  G C McIntosh; S H Brown; R R Rice; M H Thaut
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-01       Impact factor: 10.154

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7.  Infant stepping: a method to study the sensory control of human walking.

Authors:  J F Yang; M J Stephens; R Vishram
Journal:  J Physiol       Date:  1998-03-15       Impact factor: 5.182

8.  Shaping appropriate locomotive motor output through interlimb neural pathway within spinal cord in humans.

Authors:  Noritaka Kawashima; Daichi Nozaki; Masaki O Abe; Kimitaka Nakazawa
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Review 9.  A meta-analysis: Parkinson's disease and dual-task walking.

Authors:  Tiphanie E Raffegeau; Lisa M Krehbiel; Nyeonju Kang; Frency J Thijs; Lori J P Altmann; James H Cauraugh; Chris J Hass
Journal:  Parkinsonism Relat Disord       Date:  2018-12-12       Impact factor: 4.891

10.  Inertial Measurement Unit-Based Estimation of Foot Trajectory for Clinical Gait Analysis.

Authors:  Koyu Hori; Yufeng Mao; Yumi Ono; Hiroki Ora; Yuki Hirobe; Hiroyuki Sawada; Akira Inaba; Satoshi Orimo; Yoshihiro Miyake
Journal:  Front Physiol       Date:  2020-01-10       Impact factor: 4.566

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  1 in total

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  1 in total

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