AI Medical Compendium Topic:
Electromyography

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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 ...

A Semi-Wearable Robotic Device for Sit-to-Stand Assistance.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
With the aging of the population in the United States, an increasing number of individuals suffer from mobility challenges. For such individuals, the difficulty of standing up from a seated position is a major barrier for their daily physical activit...

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...

Feasibility of an Electromyography-Triggered Hand Robot for People After Chronic Stroke.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association
IMPORTANCE: Effective treatment of the affected hand after stroke is crucial for improved functional independence and recovery.

A SEMG-angle model based on HMM for human robot interaction.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: An important part of the rehabilitation process using exoskeleton robots has been the creation of a friendly Human Robot Interaction (HRI) system.

sEMG-angle estimation using feature engineering techniques for least square support vector machine.

Technology and health care : official journal of the European Society for Engineering and Medicine
In the practical implementation of control of electromyography (sEMG) driven devices, algorithms should recognize the human's motion from sEMG with fast speed and high accuracy. This study proposes two feature engineering (FE) techniques, namely, fea...

Fault-Tolerant Sensor Detection of sEMG signals: Quality Analysis Using a Two-Class Support Vector Machine.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The capacity to identify the contamination in surface electromyography (sEMG) signals is necessary for applying the sEMG controlled prosthesis over time. In this paper, the method for the automatic identification of commonly occurring contaminant typ...

Surface EMG Pattern Recognition Using Long Short-Term Memory Combined with Multilayer Perceptron.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Motion classification based on pattern recognition of surface EMG (sEMG) signals is a promising approach for prosthetic control. We present a pattern recognition model that combines long short-term memory (LSTM) network with multiplayer perceptron (M...

Assessment of Robot Interventions in a Task-based Rehabilitation: a case study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation procedure. Robotic devices have significantly been useful to help therapists do the training procedure. However, due to the lack of quantifiable feedbac...