AI Medical Compendium Topic:
Upper Extremity

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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...

Energetics during robot-assisted training predicts recovery in stroke.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Clinical investigators have asserted patients should be active participants in the therapy process in stroke rehabilitation. While robotics introduces new tools for measurement and treatment of motor impairments, it also presents challenges for evalu...

Unsupervised Phase Learning and Extraction from Repetitive Movements.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Phase extraction from repetitive movements is one crucial part in various applications such as interactive robotics, physical rehabilitation, or gait analysis. However, pre-existing automatic phase extraction techniques are specific to a target movem...

Effectiveness of a single session of dual-transcranial direct current stimulation in combination with upper limb robotic-assisted rehabilitation in chronic stroke patients: a randomized, double-blind, cross-over study.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
The impact of transcranial direct current stimulation (tDCS) is controversial in the neurorehabilitation literature. It has been suggested that tDCS should be combined with other therapy to improve their efficacy. To assess the effectiveness of a sin...

Effects of integrating rhythmic arm swing into robot-assisted walking in patients with subacute stroke: a randomized controlled pilot study.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
This study aimed to identify the effects of rhythmic arm swing during robot-assisted walking training on balance, gait, motor function, and activities of daily living among patients with subacute stroke. Twenty patients with subacute stroke were recr...

Efficacy of Armeo® Robotic Therapy Versus Conventional Therapy on Upper Limb Function in Children With Hemiplegic Cerebral Palsy.

American journal of physical medicine & rehabilitation
OBJECTIVE: The aim of this study was to examine the efficacy of Armeo robotic therapy, compared with conventional therapy, on upper limb function in children with hemiplegic cerebral palsy.

Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Restorative neurology and neuroscience
BACKGROUND: Robotic rehabilitation is a highly promising approach to recover lost functions after stroke or other neurological disorders. Unfortunately, robotic rehabilitation currently suffers from "motor slacking", a phenomenon in which the human m...

Effects of robot-assisted therapy on upper extremity function and activities of daily living in hemiplegic patients: A single-blinded, randomized, controlled trial.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Many robots can induce passive movements and passive resistance movements to facilitate recovery of upper-extremity function, but it is rare to find robots that can also enable active resistance movements.

Error-augmented bimanual therapy for stroke survivors.

NeuroRehabilitation
BACKGROUND: Stroke recovery studies have shown the efficacy of bimanual training on upper limb functional recovery and others have shown the efficacy of feedback technology that augments error.