AIMC Topic: Stroke Rehabilitation

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Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke.

IEEE transactions on bio-medical engineering Nov 19, 2020
OBJECTIVE: This randomized controlled feasibility study investigates the ability for clinical application of the Brain-Computer Interface-based Soft Robotic Glove (BCI-SRG) incorporating activities of daily living (ADL)-oriented tasks for stroke reha...
Humans Activities of Daily Living Brain-Computer Interfaces Upper Extremity Stroke Rehabilitation Treatment Outcome Robotics Electroencephalography Stroke
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Machine learning to predict mortality after rehabilitation among patients with severe stroke.

Scientific reports Nov 18, 2020
Stroke is among the leading causes of death and disability worldwide. Approximately 20-25% of stroke survivors present severe disability, which is associated with increased mortality risk. Prognostication is inherent in the process of clinical decisi...
Stroke Medicare Mortality Stroke Rehabilitation ROC Curve Logistic Models United States Machine Learning Humans Algorithms Female Clinical Decision-Making Aged Male Middle Aged
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Robot Assisted Ankle Neuro-Rehabilitation: State of the art and Future Challenges.

Expert review of neurotherapeutics Nov 16, 2020
: Robot-assisted neuro-rehabilitation is gaining acceptability among the physical therapy community. The ankle is one of the most complicated anatomical joints in the human body and neurologic injuries such as stroke often result in ankle and foot di...
Humans Robotics Stroke Ankle Joint Ankle Physical Therapy Modalities Stroke Rehabilitation
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Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis.

Scientific reports Nov 11, 2020
Mood disorders (e.g. depression, apathy, and anxiety) are often observed in stroke patients, exhibiting a negative impact on functional recovery associated with various physical disorders and cognitive dysfunction. Consequently, post-stroke symptoms ...
Female Aged Male Middle Aged Humans Neural Networks, Computer Machine Learning Mood Disorders Movement Stroke Rehabilitation ROC Curve Cognition Stroke
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Breaking the ice to improve motor outcomes in patients with chronic stroke: a retrospective clinical study on neuromodulation plus robotics.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Nov 6, 2020
BACKGROUND: Stroke is one of the main causes of impairment affecting daily activities and quality of life. There is a growing effort to potentiate the recovery of functional gait and to enable stroke patients to walk independently.
Humans Transcranial Direct Current Stimulation Stroke Retrospective Studies Gait Disorders, Neurologic Quality of Life Gait Exercise Therapy Robotics Stroke Rehabilitation
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Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.

Neurorehabilitation and neural repair Nov 5, 2020
BACKGROUND: Wrist-worn accelerometry provides objective monitoring of upper-extremity functional use, such as reaching tasks, but also detects nonfunctional movements, leading to ambiguity in monitoring results.
Accelerometry Upper Extremity Stroke Rehabilitation Male Middle Aged Stroke Humans Machine Learning Female Aged Adult
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Wearable hip-assist robot modulates cortical activation during gait in stroke patients: a functional near-infrared spectroscopy study.

Journal of neuroengineering and rehabilitation Oct 29, 2020
BACKGROUND: Gait dysfunction is common in post-stroke patients as a result of impairment in cerebral gait mechanism. Powered robotic exoskeletons are promising tools to maximize neural recovery by delivering repetitive walking practice.
Stroke Rehabilitation Gait Disorders, Neurologic Gait Hip Exoskeleton Device Humans Brain Male Female Middle Aged Robotics Stroke
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Effects of selectively assisting impaired subtasks of walking in chronic stroke survivors.

Journal of neuroengineering and rehabilitation Oct 28, 2020
BACKGROUND: Recently developed controllers for robot-assisted gait training allow for the adjustment of assistance for specific subtasks (i.e. specific joints and intervals of the gait cycle that are related to common impairments after stroke). Howev...
Stroke Rehabilitation Humans Female Gait Disorders, Neurologic Robotics Adult Walking Male Exoskeleton Device Middle Aged Survivors
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Robot-Assisted Arm Training versus Therapist-Mediated Training after Stroke: A Systematic Review and Meta-Analysis.

Journal of healthcare engineering Oct 27, 2020
BACKGROUND: More than two-thirds of stroke patients have arm motor impairments and function deficits on hospital admission, leading to diminished quality of life and reduced social participation. Robot-assisted training (RAT) is a promising rehabilit...
Stroke Humans Activities of Daily Living Quality of Life Arm Robotics Stroke Rehabilitation
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Electromechanical-assisted training for walking after stroke.

The Cochrane database of systematic reviews Oct 22, 2020
BACKGROUND: Electromechanical- and robot-assisted gait-training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007 and previously updated in 2017.
Bias Equipment Design Cause of Death Walking Gait Combined Modality Therapy Exercise Therapy Aged Middle Aged Randomized Controlled Trials as Topic Robotics Orthotic Devices Humans Confidence Intervals Electric Stimulation Therapy Odds Ratio Stroke Rehabilitation Walking Speed
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