AIMC Topic: Stroke

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A scoping review of design requirements for a home-based upper limb rehabilitation robot for stroke.

Topics in stroke rehabilitation Jul 19, 2021
BACKGROUND: Home-based robotic therapy is a trend of post-stroke upper limb rehabilitation. Although home-based upper limb rehabilitation robots have been developed over several decades, no design specification has been published.
Stroke Rehabilitation Movement Upper Extremity Humans Robotics Stroke
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Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke.

Journal of neuroengineering and rehabilitation Jul 16, 2021
BACKGROUND: Neurological injuries such as stroke often differentially impair hand motor and somatosensory function, as well as the interplay between the two, which leads to limitations in performing activities of daily living. However, it is challeng...
Humans Reproducibility of Results Robotics Hand Stroke Activities of Daily Living Upper Extremity Stroke Rehabilitation
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Occupational therapists' evaluation of the perceived usability and utility of wearable soft robotic exoskeleton gloves for hand function rehabilitation following a stroke.

Disability and rehabilitation. Assistive technology Jun 30, 2021
PURPOSE: To evaluate the perceived usability and utility of using a soft robotic glove to rehabilitate hand function following a stroke.
Humans Wearable Electronic Devices Robotics Exoskeleton Device Hand Stroke Rehabilitation Stroke Occupational Therapists
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Improving Prehospital Stroke Diagnosis Using Natural Language Processing of Paramedic Reports.

Stroke Jun 24, 2021
BACKGROUND AND PURPOSE: Accurate prehospital diagnosis of stroke by emergency medical services (EMS) can increase treatments rates, mitigate disability, and reduce stroke deaths. We aimed to develop a model that utilizes natural language processing o...
Natural Language Processing Stroke Research Report Middle Aged Emergency Medical Services Chicago Female Aged Aged, 80 and over Allied Health Personnel Male Humans Retrospective Studies
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Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals.

Sensors (Basel, Switzerland) Jun 22, 2021
The emergence of an aging society is inevitable due to the continued increases in life expectancy and decreases in birth rate. These social changes require new smart healthcare services for use in daily life, and COVID-19 has also led to a contactles...
Deep Learning Stroke COVID-19 SARS-CoV-2 Aged Humans Neural Networks, Computer
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Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.

BioMed research international Jun 18, 2021
With the continuous development of artificial intelligence technology, "brain-computer interfaces" are gradually entering the field of medical rehabilitation. As a result, brain-computer interfaces (BCIs) have been included in many countries' strateg...
Neurological Rehabilitation Equipment Design Stroke Rehabilitation Signal Processing, Computer-Assisted Stroke Brain Wheelchairs Humans Brain-Computer Interfaces Robotics Artificial Intelligence Orthotic Devices Electroencephalography
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A New Paradigm of "Real-Time" Stroke Risk Prediction and Integrated Care Management in the Digital Health Era: Innovations Using Machine Learning and Artificial Intelligence Approaches.

Thrombosis and haemostasis Jun 15, 2021
Stroke Delivery of Health Care, Integrated Machine Learning Risk Assessment Time Factors Humans
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Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept.

Topics in stroke rehabilitation Jun 11, 2021
INTRODUCTION: To understand the current practices in stroke evaluation, the main clinical decision support system and artificial intelligence (AI) technologies need to be understood to assist the therapist in obtaining better insights about impairmen...
Algorithms Stroke Muscle Spasticity Humans Artificial Intelligence International Classification of Functioning, Disability and Health
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Myoelectric analysis of upper-extremity muscles during robot-assisted bilateral wrist flexion-extension in subjects with poststroke hemiplegia.

Clinical biomechanics (Bristol, Avon) Jun 11, 2021
BACKGROUND: Muscle co-contraction during the execution of motor tasks or training is common in poststroke subjects. EMG-derived muscular activation indexes have been used to evaluate muscle co-contractions during movements. In addition, robot-assiste...
Stroke Rehabilitation Hemiplegia Muscles Humans Muscle, Skeletal Robotics Wrist Electromyography Stroke
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D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Assessing the location and extent of lesions caused by chronic stroke is critical for medical diagnosis, surgical planning, and prognosis. In recent years, with the rapid development of 2D and 3D convolutional neural networks (CNN), the encoder-decod...
Humans Neural Networks, Computer Chronic Disease Algorithms Stroke Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Magnetic Resonance Imaging
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