Literature DB >> 29658937

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

Margit Alt Murphy1, Steve Murphy2, Hanna C Persson3, Ulla-Britt Bergström4, Katharina Stibrant Sunnerhagen5.   

Abstract

Kinematic analysis is a powerful method for objective assessment of upper extremity movements in a three-dimensional (3D) space. Three-dimensional motion capture with an optoelectronic camera system is considered as golden standard for kinematic movement analysis and is increasingly used as outcome measure to evaluate the movement performance and quality after an injury or disease involving upper extremity movements. This article describes a standardized protocol for kinematic analysis of drinking task applied in individuals with upper extremity impairments after stroke. The drinking task incorporates reaching, grasping and lifting a cup from a table to take a drink, placing the cup back, and moving the hand back to the edge of the table. The sitting position is standardized to the individual's body size and the task is performed in a comfortable self-paced speed and compensatory movements are not constrained. The intention is to keep the task natural and close to a real-life situation to improve the ecological validity of the protocol. A 5-camera motion capture system is used to gather 3D coordinate positions from 9 retroreflective markers positioned on anatomical landmarks of the arm, trunk, and face. A simple single marker placement is used to ensure the feasibility of the protocol in clinical settings. Custom-made Matlab software provides automated and fast analyses of movement data. Temporal kinematics of movement time, velocity, peak velocity, time of peak velocity, and smoothness (number of movement units) along with spatial angular kinematics of shoulder and elbow joint as well as trunk movements are calculated. The drinking task is a valid assessment for individuals with moderate and mild upper extremity impairment. The construct, discriminative and concurrent validity along with responsiveness (sensitivity to change) of the kinematic variables obtained from the drinking task have been established.

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Year:  2018        PMID: 29658937      PMCID: PMC5933268          DOI: 10.3791/57228

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  21 in total

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

Authors:  Margit Alt Murphy; Carin Willén; Katharina S Sunnerhagen
Journal:  Neurorehabil Neural Repair       Date:  2013-06-13       Impact factor: 3.919

2.  Validity of movement pattern kinematics as measures of arm motor impairment poststroke.

Authors:  Sandeep K Subramanian; Juri Yamanaka; Gevorg Chilingaryan; Mindy F Levin
Journal:  Stroke       Date:  2010-09-02       Impact factor: 7.914

3.  How Do Fugl-Meyer Arm Motor Scores Relate to Dexterity According to the Action Research Arm Test at 6 Months Poststroke?

Authors:  Maurits H Hoonhorst; Rinske H Nijland; Jan S van den Berg; Cornelis H Emmelot; Boudewijn J Kollen; Gert Kwakkel
Journal:  Arch Phys Med Rehabil       Date:  2015-07-02       Impact factor: 3.966

4.  Movement Kinematics of the Ipsilesional Upper Extremity in Persons With Moderate or Mild Stroke.

Authors:  Eva-Lena Bustrén; Katharina Stibrant Sunnerhagen; Margit Alt Murphy
Journal:  Neurorehabil Neural Repair       Date:  2017-01-20       Impact factor: 3.919

5.  A community-based upper-extremity group exercise program improves motor function and performance of functional activities in chronic stroke: a randomized controlled trial.

Authors:  Marco Y Pang; Jocelyn E Harris; Janice J Eng
Journal:  Arch Phys Med Rehabil       Date:  2006-01       Impact factor: 3.966

6.  Movement planning in prehension: do intended actions influence the initial reach and grasp movement?

Authors:  Claudia Armbrüster; Will Spijkers
Journal:  Motor Control       Date:  2006-10       Impact factor: 1.422

7.  Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass.

Authors:  Margit Alt Murphy; Carin Willén; Katharina S Sunnerhagen
Journal:  Neurorehabil Neural Repair       Date:  2010-09-09       Impact factor: 3.919

8.  Rehabilitation of reaching after stroke: comparing 2 training protocols utilizing trunk restraint.

Authors:  Gregory Thielman; Terry Kaminski; A M Gentile
Journal:  Neurorehabil Neural Repair       Date:  2008 Nov-Dec       Impact factor: 3.919

9.  Sensorimotor impairments and reaching performance in subjects with poststroke hemiparesis during the first few months of recovery.

Authors:  Joanne M Wagner; Catherine E Lang; Shirley A Sahrmann; Dorothy F Edwards; Alexander W Dromerick
Journal:  Phys Ther       Date:  2007-04-18

Review 10.  Do Activity Level Outcome Measures Commonly Used in Neurological Practice Assess Upper-Limb Movement Quality?

Authors:  Marika Demers; Mindy F Levin
Journal:  Neurorehabil Neural Repair       Date:  2017-07-05       Impact factor: 3.919

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  5 in total

1.  Using Wearable Inertial Sensors to Estimate Clinical Scores of Upper Limb Movement Quality in Stroke.

Authors:  Charlotte Werner; Josef G Schönhammer; Marianne K Steitz; Olivier Lambercy; Andreas R Luft; László Demkó; Chris Awai Easthope
Journal:  Front Physiol       Date:  2022-05-03       Impact factor: 4.755

2.  Commercial head-mounted display virtual reality for upper extremity rehabilitation in chronic stroke: a single-case design study.

Authors:  Mattias Erhardsson; Margit Alt Murphy; Katharina S Sunnerhagen
Journal:  J Neuroeng Rehabil       Date:  2020-11-23       Impact factor: 4.262

3.  Measures of Interjoint Coordination Post-stroke Across Different Upper Limb Movement Tasks.

Authors:  Anne Schwarz; Janne M Veerbeek; Jeremia P O Held; Jaap H Buurke; Andreas R Luft
Journal:  Front Bioeng Biotechnol       Date:  2021-01-28

4.  Biomechanical Assessment of Post-Stroke Patients' Upper Limb before and after Rehabilitation Therapy Based on FES and VR.

Authors:  Daniela Montoya; Patricio Barria; Carlos A Cifuentes; Luis F Aycardi; André Morís; Rolando Aguilar; José M Azorín; Marcela Múnera
Journal:  Sensors (Basel)       Date:  2022-03-31       Impact factor: 3.576

5.  How many trials are needed in kinematic analysis of reach-to-grasp?-A study of the drinking task in persons with stroke and non-disabled controls.

Authors:  Gunilla Elmgren Frykberg; Helena Grip; Margit Alt Murphy
Journal:  J Neuroeng Rehabil       Date:  2021-06-15       Impact factor: 4.262

  5 in total

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