Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery | Zendy

Hermano Igo Krebs | Zendy; Michael Krams | Zendy; Dimitris K. Agrafiotis | Zendy; Allitia DiBernardo | Zendy; Juan C. Chávez | Zendy; Gary S. Littman | Zendy; Eric Yang | Zendy; Geert Byttebier | Zendy; Laura Dipietro | Zendy; Avrielle Rykman | Zendy; Kate McArthur | Zendy; Karim Hajjar | Zendy; Kennedy R. Lees | Zendy; Bruce T. Volpe | Zendy

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Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery

Author(s) -

Hermano Igo Krebs,

Michael Krams,

Dimitris K. Agrafiotis,

Allitia DiBernardo,

Juan C. Chávez,

Gary S. Littman,

Eric Yang,

Geert Byttebier,

Laura Dipietro,

Avrielle Rykman,

Kate McArthur,

Karim Hajjar,

Kennedy R. Lees,

Bruce T. Volpe

Publication year - 2013

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.113.002296

Subject(s) - medicine , modified rankin scale , physical medicine and rehabilitation , kinematics , stroke (engine) , robotic arm , sample size determination , physical therapy , ischemic stroke , artificial intelligence , statistics , computer science , mechanical engineering , engineering , physics , mathematics , ischemia , classical mechanics

Because robotic devices record the kinematics and kinetics of human movements with high resolution, we hypothesized that robotic measures collected longitudinally in patients after stroke would bear a significant relationship to standard clinical outcome measures and, therefore, might provide superior biomarkers.

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