A New Myohaptic Instrument to Assess Wrist Motion Dynamically
Identifieur interne : 003910 ( Main/Merge ); précédent : 003909; suivant : 003911A New Myohaptic Instrument to Assess Wrist Motion Dynamically
Auteurs : Mario Manto [Belgique] ; Niels Van Den Braber ; Giuliana Grimaldi ; Piet LammertseSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2010.
English descriptors
- KwdEn :
- Adult, Aged, Case-Control Studies, Cerebellar Ataxia (diagnosis), Computer Simulation, Electromyography, Female, Humans, Male, Middle Aged, Motion, Muscle Contraction (physiology), Muscle, Skeletal (physiology), Range of Motion, Articular (physiology), Rotation, Torque, Wrist (physiology), Wrist Joint (physiology), Young Adult.
- MESH :
- diagnosis : Cerebellar Ataxia.
- physiology : Muscle Contraction, Muscle, Skeletal, Range of Motion, Articular, Wrist, Wrist Joint.
- Adult, Aged, Case-Control Studies, Computer Simulation, Electromyography, Female, Humans, Male, Middle Aged, Motion, Rotation, Torque, Young Adult.
Abstract
The pathophysiological assessment of joint properties and voluntary motion in neurological patients remains a challenge. This is typically the case in cerebellar patients, who exhibit dysmetric movements due to the dysfunction of cerebellar circuitry. Several tools have been developed, but so far most of these tools have remained confined to laboratories, with a lack of standardization. We report on a new device which combines the use of electromyographic (EMG) sensors with haptic technology for the dynamic investigation of wrist properties. The instrument is composed of a drivetrain, a haptic controller and a signal acquisition unit. Angular accuracy is 0.00611 rad, nominal torque is 6 N·m, maximal rotation velocity is 34.907 rad/sec, with a range of motion of −1.0472 to +1.0472 rad. The inertia of the motor and handgrip is 0.004 kg·m2. This is the first standardized myohaptic instrument allowing the dynamic characterization of wrist properties, including under the condition of artificial damping. We show that cerebellar patients are unable to adapt EMG activities when faced with an increase in damping while performing fast reversal movements. The instrument allows the extraction of an electrophysiological signature of a cerebellar deficit.
Url:
DOI: 10.3390/s100403180
PubMed: 22319293
PubMed Central: 3274218
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E-Mail:<email>giulanagrim@yahoo.it</email> (G.G.)</nlm:aff></affiliation></author><author><name sortKey="Lammertse, Piet" sort="Lammertse, Piet" uniqKey="Lammertse P" first="Piet" last="Lammertse">Piet Lammertse</name><affiliation><nlm:aff id="af2-sensors-10-03180"> Moog FCS, 2150 Ad Nieuw-Vennep, The Netherlands; E-Mails:<email>nvandenbraber@moog.com</email> (N.V.D.B.);<email>plammertse@moog.com</email> (P.L.)</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22319293</idno><idno type="pmc">3274218</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274218</idno><idno type="RBID">PMC:3274218</idno><idno type="doi">10.3390/s100403180</idno><date when="2010">2010</date><idno type="wicri:Area/Pmc/Corpus">002518</idno><idno type="wicri:Area/Pmc/Curation">002518</idno><idno type="wicri:Area/Pmc/Checkpoint">001F82</idno><idno type="wicri:source">PubMed</idno><idno type="wicri:Area/PubMed/Corpus">001156</idno><idno type="wicri:Area/PubMed/Curation">001156</idno><idno type="wicri:Area/PubMed/Checkpoint">001003</idno><idno type="wicri:Area/Ncbi/Merge">001E52</idno><idno type="wicri:Area/Ncbi/Curation">001E52</idno><idno type="wicri:Area/Ncbi/Checkpoint">001E52</idno><idno type="wicri:Area/Main/Merge">003910</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A New Myohaptic Instrument to Assess Wrist Motion Dynamically</title><author><name sortKey="Manto, Mario" sort="Manto, Mario" uniqKey="Manto M" first="Mario" last="Manto">Mario Manto</name><affiliation wicri:level="3"><nlm:aff id="af1-sensors-10-03180"> FNRS, Neurologie ULB-Erasme, 808 Route de Lennik, 1070 Bruxelles, Belgium</nlm:aff><country xml:lang="fr">Belgique</country><wicri:regionArea> FNRS, Neurologie ULB-Erasme, 808 Route de Lennik, 1070 Bruxelles</wicri:regionArea><placeName><region type="land" nuts="2">Vienne (Autriche)</region><settlement type="city">Vienne (Autriche)</settlement></placeName></affiliation></author><author><name sortKey="Van Den Braber, Niels" sort="Van Den Braber, Niels" uniqKey="Van Den Braber N" first="Niels" last="Van Den Braber">Niels Van Den Braber</name><affiliation><nlm:aff id="af2-sensors-10-03180"> Moog FCS, 2150 Ad Nieuw-Vennep, The Netherlands; E-Mails:<email>nvandenbraber@moog.com</email> (N.V.D.B.);<email>plammertse@moog.com</email> (P.L.)</nlm:aff></affiliation></author><author><name sortKey="Grimaldi, Giuliana" sort="Grimaldi, Giuliana" uniqKey="Grimaldi G" first="Giuliana" last="Grimaldi">Giuliana Grimaldi</name><affiliation><nlm:aff id="af3-sensors-10-03180"> Neurologie, ULB Erasme, 808 Route de Lennik, 1070 Bruxelles, Belgium; E-Mail:<email>giulanagrim@yahoo.it</email> (G.G.)</nlm:aff></affiliation></author><author><name sortKey="Lammertse, Piet" sort="Lammertse, Piet" uniqKey="Lammertse P" first="Piet" last="Lammertse">Piet Lammertse</name><affiliation><nlm:aff id="af2-sensors-10-03180"> Moog FCS, 2150 Ad Nieuw-Vennep, The Netherlands; E-Mails:<email>nvandenbraber@moog.com</email> (N.V.D.B.);<email>plammertse@moog.com</email> (P.L.)</nlm:aff></affiliation></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Aged</term><term>Case-Control Studies</term><term>Cerebellar Ataxia (diagnosis)</term><term>Computer Simulation</term><term>Electromyography</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Motion</term><term>Muscle Contraction (physiology)</term><term>Muscle, Skeletal (physiology)</term><term>Range of Motion, Articular (physiology)</term><term>Rotation</term><term>Torque</term><term>Wrist (physiology)</term><term>Wrist Joint (physiology)</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Cerebellar Ataxia</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Muscle Contraction</term><term>Muscle, Skeletal</term><term>Range of Motion, Articular</term><term>Wrist</term><term>Wrist Joint</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Case-Control Studies</term><term>Computer Simulation</term><term>Electromyography</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Motion</term><term>Rotation</term><term>Torque</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The pathophysiological assessment of joint properties and voluntary motion in neurological patients remains a challenge. This is typically the case in cerebellar patients, who exhibit dysmetric movements due to the dysfunction of cerebellar circuitry. Several tools have been developed, but so far most of these tools have remained confined to laboratories, with a lack of standardization. We report on a new device which combines the use of electromyographic (EMG) sensors with haptic technology for the dynamic investigation of wrist properties. The instrument is composed of a drivetrain, a haptic controller and a signal acquisition unit. Angular accuracy is 0.00611 rad, nominal torque is 6 N·m, maximal rotation velocity is 34.907 rad/sec, with a range of motion of −1.0472 to +1.0472 rad. The inertia of the motor and handgrip is 0.004 kg·m<sup>2</sup>. This is the first standardized myohaptic instrument allowing the dynamic characterization of wrist properties, including under the condition of artificial damping. We show that cerebellar patients are unable to adapt EMG activities when faced with an increase in damping while performing fast reversal movements. The instrument allows the extraction of an electrophysiological signature of a cerebellar deficit.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Hallett, M" uniqKey="Hallett M">M. Hallett</name></author><author><name sortKey="Shahani, B T" uniqKey="Shahani B">B.T. Shahani</name></author><author><name sortKey="Young, R R" uniqKey="Young R">R.R. Young</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hannaford, B" uniqKey="Hannaford B">B. Hannaford</name></author><author><name sortKey="Stark, L" uniqKey="Stark L">L. Stark</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Gottlieb, G L" uniqKey="Gottlieb G">G.L. 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Konczak</name></author><author><name sortKey="Gerwig, M" uniqKey="Gerwig M">M. Gerwig</name></author><author><name sortKey="Gizewski, E R" uniqKey="Gizewski E">E.R. Gizewski</name></author><author><name sortKey="Schoch, B" uniqKey="Schoch B">B. Schoch</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Manto, M" uniqKey="Manto M">M. Manto</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Debicki, D B" uniqKey="Debicki D">D.B. Debicki</name></author><author><name sortKey="Gribble, P L" uniqKey="Gribble P">P.L. Gribble</name></author><author><name sortKey="Watts, S" uniqKey="Watts S">S Watts</name></author><author><name sortKey="Hore, J" uniqKey="Hore J">J. Hore</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Matilla Due As, A" uniqKey="Matilla Due As A">A. 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