AI Medical Compendium Topic:
Movement

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Exoskeleton and End-Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review.

PM & R : the journal of injury, function, and rehabilitation
Recovery of upper and lower limbs function is essential to reach independence in daily activities in patients with upper motor neuron syndrome (UMNS). Rehabilitation can provide a guide for motor recovery influencing the neurobiology of neuronal plas...

Adaptation, Artificial Intelligence, and Physical Medicine and Rehabilitation.

PM & R : the journal of injury, function, and rehabilitation
Adaptation, cooperation, and trust are at the center of rehabilitation. Artificial intelligence and robots enhance adaptation with guidance for movement, cues for sensation, control of environment, and improved situational awareness. That said, how d...

The economic cost of robotic rehabilitation for adult stroke patients: a systematic review protocol.

JBI database of systematic reviews and implementation reports
The objective of this review is to identify the best available evidence on the economic cost of robotic rehabilitation for adult stroke patients to improve their motor movement abilities. More specifically, the objective is to identify the evidence o...

Investigating Upper Limb Movement Classification on Users with Tetraplegia as a Possible Neuroprosthesis Interface.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Spinal cord injury (SCI), stroke and other nervous system conditions can result in partial or total paralysis of individual's limbs. Numerous technologies have been proposed to assist neurorehabilitation or movement restoration, e.g. robotics or neur...

A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The emergence of deep learning techniques has provided new tools for the analysis of complex data in the field of neuroscience. In parallel, advanced statistical approaches like point-process modeling provide powerful tools for analyzing the spiking ...

Validation of Improvements of Robotic Devices for Nursing Care using a Sensing Dummy Simulating Human Body.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The population in advanced countries is rapidly aging, and these countries are faced with various issues pertaining to the rapidly aging population. It is expected that manpower shortages for nursing care of the elderly will be resolved using robotic...

A Velocity-Based Flow Field Control Approach for Reshaping Movement of Stroke-Impaired Individuals with a Lower-Limb Exoskeleton.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper describes a controller for guiding and assisting leg movement during walking with a lower limb exoskeleton with actuated hip and knee joints. The primary novel aspect of the controller is that it employs a virtual flow field to influence m...

Design of Soft Robotic Actuation for Supporting Eyelid Closure Movement.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
We have been developing a facial wearable robot to support the eyelid movements of patients with facial paralysis, especially on one side of the face [1]. This robot has a mechanism for supporting eyelid movements, made from a soft material, which is...

Feature Learning in Assistive Rehabilitation Robotic Systems.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Feature learning plays a crucial role in data analysis when the measured data is in a high dimensional space. This paper applied the feature learning technique in data set collected from human movement experiments in an upper limb rehabilitation robo...