Literature DB >> 23764883

Responsiveness of upper extremity kinematic measures and clinical improvement during the first three months after stroke.

Margit Alt Murphy1, Carin Willén, Katharina S Sunnerhagen.   

Abstract

BACKGROUND: Kinematic movement analysis is increasingly used as an outcome measure in evaluation of upper extremity function after stroke. Little is known, however, about what observed longitudinal changes in kinematics mean in the context of an individual's functioning. In this study, the responsiveness and expected change in kinematic measures associated with clinically meaningful improvement in the upper extremity were evaluated.
METHODS: . Kinematic movement analysis of a drinking task and Action Research Arm Test (ARAT) were performed early (9 days poststroke) and at 3 months after stroke in 51 subjects. The receiver-operating characteristic curve and linear regression analyses were used to evaluate responsiveness of kinematic parameters.
RESULTS: Movement time, smoothness, and trunk displacement discriminated those subjects demonstrating clinically meaningful improvements. Significant associations of 31% to 36% were found between the change in ARAT and kinematic measures. A real clinical improvement in kinematics lies in the range of 2.5 to 5 seconds, 3 to 7 units, and 2 to 5 cm in movement time, smoothness, and trunk displacement, respectively.
CONCLUSIONS: All kinematic measures reported in this study are responsive measures for capturing improvements in the upper extremity during the first 3 months after stroke. Approximate estimates for the expected change in kinematics associated with clinically meaningful improvement in upper extremity activity capacity illustrate the usefulness of the linear regression analysis for assessing responsiveness. This knowledge facilitates the selection of kinematic measures for clinical and movement analysis research as well as for technology-based devices.

Entities:  

Keywords:  instrumentation; kinematic; outcome assessment; recovery of function; stroke rehabilitation; task performance and analysis; upper extremity movement

Mesh:

Year:  2013        PMID: 23764883     DOI: 10.1177/1545968313491008

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  25 in total

1.  Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments.

Authors:  Margit Alt Murphy; Steve Murphy; Hanna C Persson; Ulla-Britt Bergström; Katharina Stibrant Sunnerhagen
Journal:  J Vis Exp       Date:  2018-03-28       Impact factor: 1.355

Review 2.  Motor compensation and its effects on neural reorganization after stroke.

Authors:  Theresa A Jones
Journal:  Nat Rev Neurosci       Date:  2017-03-23       Impact factor: 34.870

3.  Both hands at work: the effect of aging on upper-limb kinematics in a multi-step activity of daily living.

Authors:  Philipp Gulde; Joachim Hermsdörfer
Journal:  Exp Brain Res       Date:  2017-02-16       Impact factor: 1.972

4.  Individual patient monitoring in daily clinical practice: a critical evaluation of minimal important change.

Authors:  Jos Hendrikx; Jaap Fransen; Wietske Kievit; Piet L C M van Riel
Journal:  Qual Life Res       Date:  2014-09-25       Impact factor: 4.147

5.  Novel kinematic indices for quantifying upper limb ability and dexterity after cervical spinal cord injury.

Authors:  Ana de Los Reyes-Guzmán; Iris Dimbwadyo-Terrer; Soraya Pérez-Nombela; Félix Monasterio-Huelin; Diego Torricelli; José Luis Pons; Angel Gil-Agudo
Journal:  Med Biol Eng Comput       Date:  2016-08-20       Impact factor: 2.602

6.  The use of virtual reality-based therapy to augment poststroke upper limb recovery.

Authors:  Geoffrey S Samuel; Min Choo; Wai Yin Chan; Stanley Kok; Yee Sien Ng
Journal:  Singapore Med J       Date:  2015-07       Impact factor: 1.858

Review 7.  Machine Learning for 3D Kinematic Analysis of Movements in Neurorehabilitation.

Authors:  Ahmet Arac
Journal:  Curr Neurol Neurosci Rep       Date:  2020-06-15       Impact factor: 5.081

8.  Quantifying Pathological Synergies in the Upper Extremity of Stroke Subjects With the Use of Inertial Measurement Units: A Pilot Study.

Authors:  Miguel M C Bhagubai; Gerjan Wolterink; Anne Schwarz; Jeremia P O Held; Bert-Jan F Van Beijnum; Peter H Veltink
Journal:  IEEE J Transl Eng Health Med       Date:  2020-12-07       Impact factor: 3.316

9.  Kinematic measures of Arm-trunk movements during unilateral and bilateral reaching predict clinically important change in perceived arm use in daily activities after intensive stroke rehabilitation.

Authors:  Hao-ling Chen; Keh-chung Lin; Rong-jiuan Liing; Ching-yi Wu; Chia-ling Chen
Journal:  J Neuroeng Rehabil       Date:  2015-09-21       Impact factor: 4.262

Review 10.  Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review.

Authors:  Leire Santisteban; Maxime Térémetz; Jean-Pierre Bleton; Jean-Claude Baron; Marc A Maier; Påvel G Lindberg
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

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