Characterization of multi-joint upper limb movements in a single task to assess bradykinesia.
Identifieur interne : 000414 ( Main/Exploration ); précédent : 000413; suivant : 000415Characterization of multi-joint upper limb movements in a single task to assess bradykinesia.
Auteurs : Mehdi Delrobaei [Iran] ; Stephanie Tran [Canada] ; Greydon Gilmore [Canada] ; Kenneth Mcisaac [Canada] ; Mandar Jog [Canada]Source :
- Journal of the neurological sciences [ 1878-5883 ] ; 2016.
English descriptors
- KwdEn :
- MESH :
- complications : Parkinson Disease.
- diagnosis : Hypokinesia.
- etiology : Hypokinesia.
- physiology : Movement.
- physiopathology : Upper Extremity.
- Aged, Case-Control Studies, Female, Humans, Male, Middle Aged, Psychomotor Performance, Severity of Illness Index.
Abstract
Bradykinesia is a disabling symptom of Parkinson's disease (PD) which presents with slowness of movement. Visual assessment using clinical rating scales is currently the gold standard to assess bradykinesia. Such assessments require multiple separate movements, are subjective, and rely on the ability of the rater to determine frequency and amplitude features of excursion of multiple joints simultaneously. The current study introduces the use of wearable inertial measurement units (IMUs) to characterize full-arm repetitive movements and provide a new index score for bradykinesia severity (BKI) in the upper limbs. The BKI provides an approach to measuring bradykinesia reliably and objectively. Importantly, this index is needed to demonstrate separability between healthy individuals and PD participants, and also between bradykinetic and non-bradykinetic PD participants. Thirteen PD participants and ten age-matched healthy control participants were studied. Using a single upper limb task that activated multiple joints and recordings from angular displacements from all joints, features relevant to demonstrating bradykinesia were extracted and systematically combined to create the total BKI. A strong correlation coefficient was obtained comparing BKI to upper limb UPDRS bradykinesia scores (rs=-0.626, p=0.001). The BKI successfully identified differences between control and PD participants (p=0.018). The BKI was also sensitive enough to identify differences within the PD population, separating PD participants with and without bradykinesia (p<0.001). This study demonstrates the feasibility of using IMU-based motion capture systems and employing the new BKI for quantitative assessment of bradykinesia. This approach when generalized to lower extremity and truncal movements would be able to provide an objective and reproducible whole body bradykinesia index.
DOI: 10.1016/j.jns.2016.07.056
PubMed: 27538660
Affiliations:
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N. Toosi University of Technology, Tehran, Iran. Electronic address: delrobaei@kntu.ac.ir.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran</wicri:regionArea><wicri:noRegion>Tehran</wicri:noRegion></affiliation></author><author><name sortKey="Tran, Stephanie" sort="Tran, Stephanie" uniqKey="Tran S" first="Stephanie" last="Tran">Stephanie Tran</name><affiliation wicri:level="1"><nlm:affiliation>Faculty of Medicine, The University of British Columbia, Vancouver, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Faculty of Medicine, The University of British Columbia, Vancouver</wicri:regionArea><wicri:noRegion>Vancouver</wicri:noRegion></affiliation></author><author><name sortKey="Gilmore, Greydon" sort="Gilmore, Greydon" uniqKey="Gilmore G" first="Greydon" last="Gilmore">Greydon Gilmore</name><affiliation wicri:level="1"><nlm:affiliation>Lawson Health Research Institute, London, ON, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Lawson Health Research Institute, London, ON</wicri:regionArea><wicri:noRegion>ON</wicri:noRegion></affiliation></author><author><name sortKey="Mcisaac, Kenneth" sort="Mcisaac, Kenneth" uniqKey="Mcisaac K" first="Kenneth" last="Mcisaac">Kenneth Mcisaac</name><affiliation wicri:level="1"><nlm:affiliation>Department of Electrical and Computer Engineering, Western University, London, ON, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Electrical and Computer Engineering, Western University, London, ON</wicri:regionArea><wicri:noRegion>ON</wicri:noRegion></affiliation></author><author><name sortKey="Jog, Mandar" sort="Jog, Mandar" uniqKey="Jog M" first="Mandar" last="Jog">Mandar Jog</name><affiliation wicri:level="1"><nlm:affiliation>Lawson Health Research Institute, London, ON, Canada; Department of Clinical Neurological Sciences, Western University, London, ON, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Lawson Health Research Institute, London, ON, Canada; Department of Clinical Neurological Sciences, Western University, London, ON</wicri:regionArea><wicri:noRegion>ON</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of the neurological sciences</title><idno type="eISSN">1878-5883</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Case-Control Studies</term><term>Female</term><term>Humans</term><term>Hypokinesia (diagnosis)</term><term>Hypokinesia (etiology)</term><term>Male</term><term>Middle Aged</term><term>Movement (physiology)</term><term>Parkinson Disease (complications)</term><term>Psychomotor Performance</term><term>Severity of Illness Index</term><term>Upper Extremity (physiopathology)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Hypokinesia</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Hypokinesia</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Movement</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Upper Extremity</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Case-Control Studies</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Psychomotor Performance</term><term>Severity of Illness Index</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Bradykinesia is a disabling symptom of Parkinson's disease (PD) which presents with slowness of movement. Visual assessment using clinical rating scales is currently the gold standard to assess bradykinesia. Such assessments require multiple separate movements, are subjective, and rely on the ability of the rater to determine frequency and amplitude features of excursion of multiple joints simultaneously. The current study introduces the use of wearable inertial measurement units (IMUs) to characterize full-arm repetitive movements and provide a new index score for bradykinesia severity (BKI) in the upper limbs. The BKI provides an approach to measuring bradykinesia reliably and objectively. Importantly, this index is needed to demonstrate separability between healthy individuals and PD participants, and also between bradykinetic and non-bradykinetic PD participants. Thirteen PD participants and ten age-matched healthy control participants were studied. Using a single upper limb task that activated multiple joints and recordings from angular displacements from all joints, features relevant to demonstrating bradykinesia were extracted and systematically combined to create the total BKI. A strong correlation coefficient was obtained comparing BKI to upper limb UPDRS bradykinesia scores (rs=-0.626, p=0.001). The BKI successfully identified differences between control and PD participants (p=0.018). The BKI was also sensitive enough to identify differences within the PD population, separating PD participants with and without bradykinesia (p<0.001). This study demonstrates the feasibility of using IMU-based motion capture systems and employing the new BKI for quantitative assessment of bradykinesia. This approach when generalized to lower extremity and truncal movements would be able to provide an objective and reproducible whole body bradykinesia index.</div></front></TEI><affiliations><list><country><li>Canada</li><li>Iran</li></country></list><tree><country name="Iran"><noRegion><name sortKey="Delrobaei, Mehdi" sort="Delrobaei, Mehdi" uniqKey="Delrobaei M" first="Mehdi" last="Delrobaei">Mehdi Delrobaei</name></noRegion></country><country name="Canada"><noRegion><name sortKey="Tran, Stephanie" sort="Tran, Stephanie" uniqKey="Tran S" first="Stephanie" last="Tran">Stephanie Tran</name></noRegion><name sortKey="Gilmore, Greydon" sort="Gilmore, Greydon" uniqKey="Gilmore G" first="Greydon" last="Gilmore">Greydon Gilmore</name><name sortKey="Jog, Mandar" sort="Jog, Mandar" uniqKey="Jog M" first="Mandar" last="Jog">Mandar Jog</name><name sortKey="Mcisaac, Kenneth" sort="Mcisaac, Kenneth" uniqKey="Mcisaac K" first="Kenneth" last="Mcisaac">Kenneth Mcisaac</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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