Quantifying the quality of hand movement in stroke patients through three-dimensional curvature

<p>Abstract</p> <p>Background</p> <p>To more accurately evaluate rehabilitation outcomes in stroke patients, movement irregularities should be quantified. Previous work in stroke patients has revealed a reduction in the trajectory smoothness and segmentation of continuo...

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Main Authors: Osu Rieko, Ota Kazuko, Fujiwara Toshiyuki, Otaka Yohei, Kawato Mitsuo, Liu Meigen
Format: Article
Language:English
Published: BMC 2011-10-01
Series:Journal of NeuroEngineering and Rehabilitation
Online Access:http://www.jneuroengrehab.com/content/8/1/62
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spelling doaj-192d6dfb61754fdbbaf531f38b0603492020-11-25T00:06:18ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032011-10-01816210.1186/1743-0003-8-62Quantifying the quality of hand movement in stroke patients through three-dimensional curvatureOsu RiekoOta KazukoFujiwara ToshiyukiOtaka YoheiKawato MitsuoLiu Meigen<p>Abstract</p> <p>Background</p> <p>To more accurately evaluate rehabilitation outcomes in stroke patients, movement irregularities should be quantified. Previous work in stroke patients has revealed a reduction in the trajectory smoothness and segmentation of continuous movements. Clinically, the Stroke Impairment Assessment Set (SIAS) evaluates the clumsiness of arm movements using an ordinal scale based on the examiner's observations. In this study, we focused on three-dimensional curvature of hand trajectory to quantify movement, and aimed to establish a novel measurement that is independent of movement duration. We compared the proposed measurement with the SIAS score and the jerk measure representing temporal smoothness.</p> <p>Methods</p> <p>Sixteen stroke patients with SIAS upper limb proximal motor function (Knee-Mouth test) scores ranging from 2 (incomplete performance) to 4 (mild clumsiness) were recruited. Nine healthy participant with a SIAS score of 5 (normal) also participated. Participants were asked to grasp a plastic glass and repetitively move it from the lap to the mouth and back at a conformable speed for 30 s, during which the hand movement was measured using OPTOTRAK. The position data was numerically differentiated and the three-dimensional curvature was computed. To compare against a previously proposed measure, the mean squared jerk normalized by its minimum value was computed. Age-matched healthy participants were instructed to move the glass at three different movement speeds.</p> <p>Results</p> <p>There was an inverse relationship between the curvature of the movement trajectory and the patient's SIAS score. The median of the -log of curvature (MedianLC) correlated well with the SIAS score, upper extremity subsection of Fugl-Meyer Assessment, and the jerk measure in the paretic arm. When the healthy participants moved slowly, the increase in the jerk measure was comparable to the paretic movements with a SIAS score of 2 to 4, while the MedianLC was distinguishable from paretic movements.</p> <p>Conclusions</p> <p>Measurement based on curvature was able to quantify movement irregularities and matched well with the examiner's observations. The results suggest that the quality of paretic movements is well characterized using spatial smoothness represented by curvature. The smaller computational costs associated with this measurement suggest that this method has potential clinical utility.</p> http://www.jneuroengrehab.com/content/8/1/62
collection DOAJ
language English
format Article
sources DOAJ
author Osu Rieko
Ota Kazuko
Fujiwara Toshiyuki
Otaka Yohei
Kawato Mitsuo
Liu Meigen
spellingShingle Osu Rieko
Ota Kazuko
Fujiwara Toshiyuki
Otaka Yohei
Kawato Mitsuo
Liu Meigen
Quantifying the quality of hand movement in stroke patients through three-dimensional curvature
Journal of NeuroEngineering and Rehabilitation
author_facet Osu Rieko
Ota Kazuko
Fujiwara Toshiyuki
Otaka Yohei
Kawato Mitsuo
Liu Meigen
author_sort Osu Rieko
title Quantifying the quality of hand movement in stroke patients through three-dimensional curvature
title_short Quantifying the quality of hand movement in stroke patients through three-dimensional curvature
title_full Quantifying the quality of hand movement in stroke patients through three-dimensional curvature
title_fullStr Quantifying the quality of hand movement in stroke patients through three-dimensional curvature
title_full_unstemmed Quantifying the quality of hand movement in stroke patients through three-dimensional curvature
title_sort quantifying the quality of hand movement in stroke patients through three-dimensional curvature
publisher BMC
series Journal of NeuroEngineering and Rehabilitation
issn 1743-0003
publishDate 2011-10-01
description <p>Abstract</p> <p>Background</p> <p>To more accurately evaluate rehabilitation outcomes in stroke patients, movement irregularities should be quantified. Previous work in stroke patients has revealed a reduction in the trajectory smoothness and segmentation of continuous movements. Clinically, the Stroke Impairment Assessment Set (SIAS) evaluates the clumsiness of arm movements using an ordinal scale based on the examiner's observations. In this study, we focused on three-dimensional curvature of hand trajectory to quantify movement, and aimed to establish a novel measurement that is independent of movement duration. We compared the proposed measurement with the SIAS score and the jerk measure representing temporal smoothness.</p> <p>Methods</p> <p>Sixteen stroke patients with SIAS upper limb proximal motor function (Knee-Mouth test) scores ranging from 2 (incomplete performance) to 4 (mild clumsiness) were recruited. Nine healthy participant with a SIAS score of 5 (normal) also participated. Participants were asked to grasp a plastic glass and repetitively move it from the lap to the mouth and back at a conformable speed for 30 s, during which the hand movement was measured using OPTOTRAK. The position data was numerically differentiated and the three-dimensional curvature was computed. To compare against a previously proposed measure, the mean squared jerk normalized by its minimum value was computed. Age-matched healthy participants were instructed to move the glass at three different movement speeds.</p> <p>Results</p> <p>There was an inverse relationship between the curvature of the movement trajectory and the patient's SIAS score. The median of the -log of curvature (MedianLC) correlated well with the SIAS score, upper extremity subsection of Fugl-Meyer Assessment, and the jerk measure in the paretic arm. When the healthy participants moved slowly, the increase in the jerk measure was comparable to the paretic movements with a SIAS score of 2 to 4, while the MedianLC was distinguishable from paretic movements.</p> <p>Conclusions</p> <p>Measurement based on curvature was able to quantify movement irregularities and matched well with the examiner's observations. The results suggest that the quality of paretic movements is well characterized using spatial smoothness represented by curvature. The smaller computational costs associated with this measurement suggest that this method has potential clinical utility.</p>
url http://www.jneuroengrehab.com/content/8/1/62
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