AIMC Topic: Motor Skills

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Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impairment compared to standard clinical assessments. This preliminary study investigated the relationshi...

Automation of motor dexterity assessment.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Motor dexterity assessment is regularly performed in rehabilitation wards to establish patient status and automatization for such routinary task is sought. A system for automatizing the assessment of motor dexterity based on the Fugl-Meyer scale and ...

How do strength and coordination recovery interact after stroke? A computational model for informing robotic training.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robotic devices can train strength, coordination, or a combination of both. If a robotic device focuses on coordination, what happens to strength recovery, and vice versa? Understanding this interaction could help optimize robotic training. We develo...

Improving motor skill transfer during dyadic robot training through the modulation of the expert role.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In daily life it is necessary to learn skills that can be applied in different tasks and different contexts. Usually these skills are acquired by observation or by direct physical training with another expert person. The critical point is to know whi...

Robot-induced perturbations of human walking reveal a selective generation of motor adaptation.

Science robotics
The processes underlying the generation of motor adaptation in response to mechanical perturbations during human walking have been subject to debate. We used a robotic system to apply mechanical perturbations to step length and step height over conse...

Case studies in poststroke hemiplegic patients using SEMUL: a passive 2-DOF rehabilitation robot.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Following stroke, rehabilitation exercises paired with medical treatment are important for the recovery and maintenance of upper limb function. We developed a 2-DOF passive haptic system for upper limb rehabilitation and software focusing on reaching...

Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation.

Plastic and reconstructive surgery
Medical decision-making is increasingly based on quantifiable data. From the moment patients come into contact with the health care system, their entire medical history is recorded electronically. Whether a patient is in the operating room or on the ...