AIMC Topic: Shoulder
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Characterizing the SEMG patterns with myofascial pain using a multi-scale wavelet model through machine learning approaches.
Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Jun 2, 2018
In this paper, we introduce a newly developed multi-scale wavelet model for the interpretation of surface electromyography (SEMG) signals and validate the model's capability to characterize changes in neuromuscular activation in cases with myofascial...
Proprioceptive assessment in clinical settings: Evaluation of joint position sense in upper limb post-stroke using a robotic manipulator.
PloS one
Nov 21, 2017
Proprioception is a critical component for motor functions and directly affects motor learning after neurological injuries. Conventional methods for its assessment are generally ordinal in nature and hence lack sensitivity. Robotic devices designed t...
Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke.
Journal of neuroengineering and rehabilitation
Oct 13, 2017
BACKGROUND: When exploring changes in upper limb kinematics and motor impairment associated with motor recovery in subacute post stroke during intensive therapies involving robot-assisted training, it is not known whether trained joints improve befor...
Experimental evaluation of a novel robotic hospital bed mover with omni-directional mobility.
Applied ergonomics
May 6, 2017
Bed pushing during patient transfer is one of the most physically demanding and yet common tasks in the hospital setting. Powered bed movers have been increasingly introduced to hospitals to reduce physiological strains on the users. This study intro...
Robotic quantification of upper extremity loss of independent joint control or flexion synergy in individuals with hemiparetic stroke: a review of paradigms addressing the effects of shoulder abduction loading.
Journal of neuroengineering and rehabilitation
Oct 29, 2016
Unsupported or "against-gravity" reaching and hand opening movements are greatly impaired in individuals with hemiparetic stroke. The reduction in reaching excursion and hand opening is thought to be primarily limited by abnormal muscle co-activation...
Ability of electrical stimulation therapy to improve the effectiveness of robotic training for paretic upper limbs in patients with stroke.
Medical engineering & physics
Aug 13, 2016
We investigated whether untriggered neuromuscular electrical stimulation (NMES) can increase the effectiveness of shoulder and elbow robotic training in patients with hemiparesis. Thirty subacute stroke patients were randomly equally allocated to rob...
Can shoulder joint reaction forces be estimated by neural networks?
Journal of biomechanics
Nov 22, 2015
To facilitate the development of future shoulder endoprostheses, a long term load profile of the shoulder joint is desired. A musculoskeletal model using 3D kinematics and external forces as input can estimate the mechanical load on the glenohumeral ...
Wrist Rehabilitation Assisted by an Electromyography-Driven Neuromuscular Electrical Stimulation Robot After Stroke.
Neurorehabilitation and neural repair
Dec 30, 2014
BACKGROUND: Augmented physical training with assistance from robot and neuromuscular electrical stimulation (NMES) may introduce intensive motor improvement in chronic stroke.
Electric Stimulation Therapy
Stroke Rehabilitation
Movement Disorders
Stroke
Recovery of Function
Brain Ischemia
Chronic Disease
Shoulder
Robotics
Single-Blind Method
Severity of Illness Index
Muscle Contraction
Elbow
Humans
Wrist
Treatment Outcome
Female
Hand
Follow-Up Studies
Male
Electromyography
Cerebral Hemorrhage
Middle Aged
Can we screen opportunistically for low bone mineral density using CT scans of the shoulder and artificial intelligence?
The British journal of radiology
Aug 1, 2024
OBJECTIVE: To evaluate whether the CT attenuation of bones seen on shoulder CT scans could be used to predict low bone mineral density (BMD) (osteopenia/osteoporosis), and to compare the performance of two machine learning models to predict low BMD.
Artificial intelligence- and computer-assisted navigation for shoulder surgery.
Journal of orthopaedic surgery (Hong Kong)
Jan 1, 2024
Over the last few decades, shoulder surgery has undergone rapid advancements, with ongoing exploration and the development of innovative technological approaches. In the coming years, technologies such as robot-assisted surgeries, virtual reality, a...
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