AIMC Topic: Electromyography

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Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.

Sensors (Basel, Switzerland) Jul 9, 2019
According to the survey on various health centres, smart log-based multi access physical monitoring system determines the health conditions of humans and their associated problems present in their lifestyle. At present, deficiency in significant nutr...
Wearable Electronic Devices Electrocardiography Monitoring, Physiologic Neural Networks, Computer Algorithms Deep Learning Electromyography Body Temperature Multimedia Blood Pressure Bayes Theorem Electroencephalography Humans
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Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network.

IEEE transactions on biomedical circuits and systems Jun 27, 2019
An accurate description of muscular activity plays an important role in the clinical diagnosis and rehabilitation research. The electromyography (EMG) is the most used technique to make accurate descriptions of muscular activity. The EMG is associate...
Humans Neural Networks, Computer Gestures Movement Motor Neurons Signal Processing, Computer-Assisted Models, Neurological Action Potentials Hand Muscle, Skeletal Electromyography
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Artificial intelligence in the field of electrodiagnosis - A new threat or heralding a new era in electromyography?

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jun 24, 2019
Electrodiagnosis Deep Learning Electromyography Needles Artificial Intelligence
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Reply to "Artificial intelligence in the field of electrodiagnosis - A new threat or heralding a new era in electromyography?".

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jun 24, 2019
Electromyography Needles Electrodiagnosis Artificial Intelligence Deep Learning
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A New Approach to Fall Detection Based on Improved Dual Parallel Channels Convolutional Neural Network.

Sensors (Basel, Switzerland) Jun 24, 2019
Falls are the major cause of fatal and non-fatal injury among people aged more than 65 years. Due to the grave consequences of the occurrence of falls, it is necessary to conduct thorough research on falls. This paper presents a method for the study ...
Discriminant Analysis Electromyography Pattern Recognition, Automated Humans Neural Networks, Computer Accidental Falls Support Vector Machine
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A Low-Cost, Wireless, 3-D-Printed Custom Armband for sEMG Hand Gesture Recognition.

Sensors (Basel, Switzerland) Jun 24, 2019
Wearable technology can be employed to elevate the abilities of humans to perform demanding and complex tasks more efficiently. Armbands capable of surface electromyography (sEMG) are attractive and noninvasive devices from which human intent can be ...
Gestures Signal Processing, Computer-Assisted Electromyography Humans Machine Learning Wearable Electronic Devices
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Effect of EMG-biofeedback robotic-assisted body weight supported treadmill training on walking ability and cardiopulmonary function on people with subacute spinal cord injuries - a randomized controlled trial.

BMC neurology Jun 24, 2019
BACKGROUND: Body weight supported treadmill training (BWSTT) is a frequently used approach for restoring the ability to walk after spinal cord injury (SCI). However, the duration of BWSTT is usually limited by fatigue of the therapists and patients. ...
Robotics Oxygen Consumption Biofeedback, Psychology Male Middle Aged Adolescent Body Weight Cardiorespiratory Fitness Spinal Cord Injuries Exercise Test Electromyography Walking Humans Female Adult Physical Therapy Modalities
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Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity.

Journal of visualized experiments : JoVE Jun 12, 2019
Measuring spasticity is important in treatment planning and determining efficacy after treatment. However, the current tool used in clinical settings has been shown to be limited in inter-rater reliability. One factor in this poor inter-rater reliabi...
Adult Male Robotics Humans Female Muscle Spasticity Electromyography Reflex, Stretch Stroke Range of Motion, Articular
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Rapid energy expenditure estimation for ankle assisted and inclined loaded walking.

Journal of neuroengineering and rehabilitation Jun 6, 2019
BACKGROUND: Estimating energy expenditure with indirect calorimetry requires expensive equipment and several minutes of data collection for each condition of interest. While several methods estimate energy expenditure using correlation to data from w...
Electromyography Female Walking Humans Adult Ankle Joint Energy Metabolism Neural Networks, Computer Male Exoskeleton Device
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SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.

PLoS computational biology Apr 18, 2019
Understanding sleep and its perturbation by environment, mutation, or medication remains a central problem in biomedical research. Its examination in animal models rests on brain state analysis via classification of electroencephalographic (EEG) sign...
Models, Animal Rats Electroencephalography Animals Signal Processing, Computer-Assisted Electromyography Humans Mice Wakefulness Neural Networks, Computer Computational Biology Sleep Machine Learning
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