Literature DB >> 33344099

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

Miguel M C Bhagubai1, Gerjan Wolterink1,2, Anne Schwarz1,3, Jeremia P O Held3, Bert-Jan F Van Beijnum1, Peter H Veltink1.   

Abstract

BACKGROUND: Stroke is one of the main causes of disability in the world, causing loss of motor function on mainly one side of the body. A proper assessment of motor function is required to help to direct and evaluate therapy. Assessment is currently performed by therapists using observer-based standardized clinical assessment protocols. Sensor-based technologies can be used to objectively quantify the presence and severity of motor impairments in stroke patients.
METHODS: In this work, a minimally obstructive distributed inertial sensing system, intended to measure kinematics of the upper extremity, was developed and tested in a pilot study, where 10 chronic stroke subjects performed the arm-related tasks from the Fugl-Meyer Assessment protocol with the affected and non-affected side.
RESULTS: The pilot study showed that the developed distributed measurement system was adequately sensitive to show significant differences in stroke subjects' arm postures between the affected and non-affected side. The presence of pathological synergies can be analysed using the measured joint angles of the upper limb segments, that describe the movement patterns of the subject.
CONCLUSION: Features measured by the system vary from the assessed FMA-UE sub-score showing its potential to provide more detailed clinical information.

Entities:  

Keywords:  FMA; IMU; kinematics; motor-synergy; stroke

Mesh:

Year:  2020        PMID: 33344099      PMCID: PMC7742824          DOI: 10.1109/JTEHM.2020.3042931

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  42 in total

1.  Ambulatory measurement of arm orientation.

Authors:  H J Luinge; P H Veltink; C T M Baten
Journal:  J Biomech       Date:  2006-02-07       Impact factor: 2.712

2.  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

3.  The feasibility of shoulder motion tracking during activities of daily living using inertial measurement units.

Authors:  Bryan Kirking; Mahmoud El-Gohary; Young Kwon
Journal:  Gait Posture       Date:  2016-06-18       Impact factor: 2.840

4.  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

5.  Systematic Review on Kinematic Assessments of Upper Limb Movements After Stroke.

Authors:  Anne Schwarz; Christoph M Kanzler; Olivier Lambercy; Andreas R Luft; Janne M Veerbeek
Journal:  Stroke       Date:  2019-03       Impact factor: 7.914

6.  Kinematic measures for upper limb motor assessment during robot-mediated training in patients with severe sub-acute stroke.

Authors:  Christophe Duret; Ophélie Courtial; Anne Gaelle Grosmaire
Journal:  Restor Neurol Neurosci       Date:  2016       Impact factor: 2.406

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

Review 8.  The fugl-meyer assessment of motor recovery after stroke: a critical review of its measurement properties.

Authors:  David J Gladstone; Cynthia J Danells; Sandra E Black
Journal:  Neurorehabil Neural Repair       Date:  2002-09       Impact factor: 3.919

9.  A new calibration methodology for thorax and upper limbs motion capture in children using magneto and inertial sensors.

Authors:  Luca Ricci; Domenico Formica; Laura Sparaci; Francesca Romana Lasorsa; Fabrizio Taffoni; Eleonora Tamilia; Eugenio Guglielmelli
Journal:  Sensors (Basel)       Date:  2014-01-09       Impact factor: 3.576

10.  Inertial Sensor Measurements of Upper-Limb Kinematics in Stroke Patients in Clinic and Home Environment.

Authors:  Jeremia P O Held; Bart Klaassen; Albert Eenhoorn; Bert-Jan F van Beijnum; Jaap H Buurke; Peter H Veltink; Andreas R Luft
Journal:  Front Bioeng Biotechnol       Date:  2018-04-12
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