AIMC Topic: Exercise Therapy

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Optimal Time-Window Derivation for Human-Activity Recognition Based on Convolutional Neural Networks of Repeated Rehabilitation Motions.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This paper analyses the time-window size required to achieve the highest accuracy of the convolutional neural network (CNN) in classifying periodic upper limb rehabilitation. To classify real-time motions by using CNN-based human activity recognition...

Visual Biofeedback of Force Information for Eccentric Training of Hemiplegic Patients.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Motor learning issues for hemiplegics not only include motor impairments such as spastic paralysis, but reportedly also an inability to appropriately recognize somatic sensations. In this regard, biofeedback of movement information through visual inf...

Design and Development of a Novel Core, Balance and Lower Limb Rehabilitation Robot: hunova®.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This article describes the motivation behind and the technical aspects at the basis of the development of the innovative rehabilitation robot hunova®. The paper describes in detail the hardware and software design of the system and summarizes the cli...

Towards an Adaptive Upper Limb Rehabilitation Game with Tangible Robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
A key feature of a successful game is its ability to provide the player with an adequate level of challenge. However, the objective of difficulty adaptation in serious games is not only to maintain the player's motivation by challenging, but also to ...

Immediate Effects of Force Feedback and Plantar Somatosensory Stimuli on Inter-limb Coordination During Perturbed Walking.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Single-sided motor weakness, also known as hemiparesis, is the most prevalent gait impairment among stroke survivors, which often results in gait asymmetry. Studies on robot-assisted gait training (RAGT) have shown positive effects of force feedback ...

Investigation of Fatigue Using Different EMG Features.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Rehabilitative exercise for people suffering from upper limb impairments has the potential to improve their neuro-plasticity due to repetitive training. Our study investigates the usefulness of Electroencephalogram and Electromyogram (EMG) signals fo...

The role of robotic gait training and tDCS in Friedrich ataxia rehabilitation: A case report.

Medicine
RATIONALE: Friedrich ataxia (FA) is the most common inherited neurodegenerative cerebellar ataxic syndrome. In patients with FA, physiotherapy is highly recommended to improve motor function outcome. Cerebellar transcranial direct current stimulation...

Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study.

NeuroRehabilitation
BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a successful rehabilitation. A comparison between conventional and end-effector Robot-Assisted Gait Training (RAGT) in subacute stroke patients is needed.

Comparative Assessment of Two Robot-Assisted Therapies for the Upper Extremity in People With Chronic Stroke.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association
OBJECTIVE: We investigated the effects on motor and daily function of robot-assisted therapies in people with chronic stroke using the Bi-Manu-Track (BMT) and InMotion 3.0 (IMT) compared with control treatment (CT).