Literature DB >> 21978912

Inertia sensor-based guidance system for upperlimb posture correction.

Z Q Ding1, Z Q Luo, A Causo, I M Chen, K X Yue, S H Yeo, K V Ling.   

Abstract

Stroke rehabilitation is labor-intensive and time-consuming. To assist patients and therapists alike, we propose a wearable system that measures orientation and corrects arm posture using vibrotactile actuators. The system evaluates user posture with respect to a reference and gives feedback in the form of vibration patterns. Users correct their arm posture, one DOF at a time, by following a protocol starting from the shoulder up to the forearm. Five users evaluated the proposed system by replicating ten different postures. Experimental results demonstrated system robustness and showed that some postures were easier to mimic depending on their naturalness.
Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21978912     DOI: 10.1016/j.medengphy.2011.09.002

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  6 in total

Review 1.  Haptic wearables as sensory replacement, sensory augmentation and trainer - a review.

Authors:  Peter B Shull; Dana D Damian
Journal:  J Neuroeng Rehabil       Date:  2015-07-20       Impact factor: 4.262

Review 2.  Interactive wearable systems for upper body rehabilitation: a systematic review.

Authors:  Qi Wang; Panos Markopoulos; Bin Yu; Wei Chen; Annick Timmermans
Journal:  J Neuroeng Rehabil       Date:  2017-03-11       Impact factor: 4.262

3.  Wearable systems for shoulder kinematics assessment: a systematic review.

Authors:  Arianna Carnevale; Umile Giuseppe Longo; Emiliano Schena; Carlo Massaroni; Daniela Lo Presti; Alessandra Berton; Vincenzo Candela; Vincenzo Denaro
Journal:  BMC Musculoskelet Disord       Date:  2019-11-15       Impact factor: 2.362

Review 4.  Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.

Authors:  Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Friedhelm C Hummel
Journal:  J Neuroeng Rehabil       Date:  2019-11-19       Impact factor: 4.262

5.  Usability Evaluation of a VibroTactile Feedback System in Stroke Subjects.

Authors:  Jeremia P Held; Bart Klaassen; Bert-Jan F van Beijnum; Andreas R Luft; Peter H Veltink
Journal:  Front Bioeng Biotechnol       Date:  2017-01-24

6.  Functional movement screen dataset collected with two Azure Kinect depth sensors.

Authors:  Qing-Jun Xing; Yuan-Yuan Shen; Run Cao; Shou-Xin Zong; Shu-Xiang Zhao; Yan-Fei Shen
Journal:  Sci Data       Date:  2022-03-25       Impact factor: 6.444

  6 in total

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