Literature DB >> 32035812

The assessment of trunk recovery in stroke patients using 3D kinematic measures.

Simone Carozzo1, Sebastiano Serra1, Loris Pignolo1, Paolo Tonin1, Antonio Cerasa2.   

Abstract

The kinematic analysis of trunk recovery in patients with stroke has sparsely been investigated. This study is aimed at evaluating the validity of a kinematic system for measuring trunk movements. Forty-five right-handed stroke patients in the post-acute phase were assessed in a within-subject design, before and after intensive conventional neurorehabilitation treatment. An eight-camera system was used to analyze the three-dimensional (3D) kinematics of trunk during typical displacements (anterior/posterior and right/left lateral). Kinematic trunk measurements and clinical evaluations were performed immediately in a blind fashion before and after rehabilitation treatments. Of the 9 kinematic variables, 4 showed a significant relationship with the clinical measure of the trunk: Trunk Control Test (TCT). Among these, only the kinematic evaluation of the lateral pelvic was the best predictor (R2= 0.2; p-level< 0.006; beta= 0.41) of clinical recovery measured with TCT. Here, we present a 3D kinematic system for assessing trunk impairments in stroke patients. We found that different kinematic variables reflect motor recovery as assessed by conventional clinical scale. Further evaluations, including reliability analysis and application on patients with gait impairments, are required.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  3D kinematics; Neurorehabilitation; Stroke; TCT; Trunk

Mesh:

Year:  2020        PMID: 32035812     DOI: 10.1016/j.medengphy.2020.01.013

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


  3 in total

1.  Effects of Interactive Dynamic Scalp Acupuncture on Motor Function and Gait of Lower Limbs after Stroke: A Multicenter, Randomized, Controlled Clinical Trial.

Authors:  Shao-Hua Zhang; Yu-Long Wang; Chun-Xia Zhang; Chun-Ping Zhang; Peng Xiao; Qian-Feng Li; Wei-Rong Liang; Xiao-Hua Pan; Ming-Chao Zhou
Journal:  Chin J Integr Med       Date:  2021-12-15       Impact factor: 1.978

2.  Motor Function Assessment of Upper Limb in Stroke Patients.

Authors:  Bingyu Pan; Zhen Huang; Tingting Jin; Jiankang Wu; Zhiqiang Zhang; Yanfei Shen
Journal:  J Healthc Eng       Date:  2021-02-24       Impact factor: 2.682

3.  Concurrent Validity of a Novel Wireless Inertial Measurement System for Assessing Trunk Impairment in People with Stroke.

Authors:  Norah Alhwoaimel; Martin Warner; Ann-Marie Hughes; Federico Ferrari; Jane Burridge; Seng Kwee Wee; Geert Verheyden; Ruth Turk
Journal:  Sensors (Basel)       Date:  2020-03-18       Impact factor: 3.576

  3 in total

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