AIMC Topic: Stroke

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Effects of proximal priority and distal priority robotic priming techniques with impairment-oriented training of upper limb functions in patients with chronic stroke: study protocol for a single-blind, randomized controlled trial.

Trials Sep 8, 2021
BACKGROUND: The sequence of establishing a proximal stability or function before facilitation of the distal body part has long been recognized in stroke rehabilitation practice but lacks scientific evidence. This study plans to examine the effects of...
Upper Extremity Robotic Surgical Procedures Stroke Robotics Single-Blind Method Randomized Controlled Trials as Topic Humans
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A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims.

IEEE journal of biomedical and health informatics Sep 3, 2021
People with diabetes require lifelong access to healthcare services to delay the onset of complications. Their disease management processes generate great volumes of data across several domains, from clinical to administrative. Difficulties in access...
Humans Risk Factors Myocardial Infarction Stroke Deep Learning Cardiovascular Diseases Diabetes Mellitus Diabetes Complications
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Efficacy of wrist robot-aided orthopedic rehabilitation: a randomized controlled trial.

Journal of neuroengineering and rehabilitation Aug 31, 2021
BACKGROUND: In recent years, many studies focused on the use of robotic devices for both the assessment and the neuro-motor reeducation of upper limb in subjects after stroke, spinal cord injuries or affected by neurological disorders. Contrarily, it...
Wrist Joint Stroke Upper Extremity Stroke Rehabilitation Robotics Wrist Humans
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Robot-Assisted Gait Training Plan for Patients in Poststroke Recovery Period: A Single Blind Randomized Controlled Trial.

BioMed research international Aug 29, 2021
BACKGROUND: Walking dysfunction exists in most patients after stroke. Evidence regarding gait training in two weeks is scarce in resource-limited settings; this study was conducted to investigate the effects of a short-term robot-assisted gait traini...
Stroke Rehabilitation Exercise Therapy Robotics Time and Motion Studies Male Humans Single-Blind Method Postural Balance Stroke Middle Aged Female Gait Recovery of Function
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Deep Learning-Based Image Automatic Assessment and Nursing of Upper Limb Motor Function in Stroke Patients.

Journal of healthcare engineering Aug 24, 2021
This paper mainly introduces the relevant contents of automatic assessment of upper limb mobility after stroke, including the relevant knowledge of clinical assessment of upper limb mobility, Kinect sensor to realize spatial location tracking of uppe...
Humans Deep Learning Upper Extremity Stroke Rehabilitation Stroke Movement
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Development of a machine learning-based real-time location system to streamline acute endovascular intervention in acute stroke: a proof-of-concept study.

Journal of neurointerventional surgery Aug 23, 2021
BACKGROUND: Delivery of acute stroke endovascular intervention can be challenging because it requires complex coordination of patient and staff across many different locations. In this proof-of-concept paper we (a) examine whether WiFi fingerprinting...
Humans Software Algorithms Machine Learning Support Vector Machine Stroke
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Exoskeleton end-effector robot-assisted therapy for finger-hand motor recovery in stroke survivors: systematic review and meta-analysis.

Topics in stroke rehabilitation Aug 21, 2021
INTRODUCTION: The growing number of stroke survivors with residual hand disabilities requires the development of efficient recovery therapy, and robotic rehabilitation can play an important role.
Exoskeleton Device Upper Extremity Stroke Rehabilitation Survivors Recovery of Function Robotics Stroke Humans
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Strategies for feature extraction from structural brain imaging in lesion-deficit modelling.

Human brain mapping Aug 20, 2021
High-dimensional modelling of post-stroke deficits from structural brain imaging is highly relevant to basic cognitive neuroscience and bears the potential to be translationally used to guide individual rehabilitation measures. One strategy to optimi...
Models, Neurological Stroke Neuroimaging Machine Learning Biomarkers Atlases as Topic Humans
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AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning.

Medical image analysis Aug 6, 2021
Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. As such, it helps clinicians to decide on the optimal reperfusion treatment. In perfusion CT imaging, deconvolution ...
Magnetic Resonance Imaging Perfusion Imaging Humans Stroke Brain Ischemia Reproducibility of Results Deep Learning Perfusion Cerebrovascular Circulation
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Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images.

IEEE journal of biomedical and health informatics Aug 5, 2021
Measurement of total-plaque-area (TPA) is important for determining long term risk for stroke and monitoring carotid plaque progression. Since delineation of carotid plaques is required, a deep learning method can provide automatic plaque segmentatio...
Algorithms Female Male Humans Plaque, Atherosclerotic Stroke Myocardial Infarction Carotid Arteries Deep Learning Ultrasonography
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