AIMC Topic: Stroke

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Acute and sub-acute stroke lesion segmentation from multimodal MRI.

Computer methods and programs in biomedicine May 6, 2020
BACKGROUND AND OBJECTIVE: Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed time-critical treatment decisions. Magnetic resonance imaging (MRI) is time demanding but can provide images...
Magnetic Resonance Imaging Humans Multimodal Imaging Neural Networks, Computer Stroke Reproducibility of Results
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Reaching exercise for chronic paretic upper extremity after stroke using a novel rehabilitation robot with arm-weight support and concomitant electrical stimulation and vibration: before-and-after feasibility trial.

Biomedical engineering online May 6, 2020
BACKGROUND: Our group developed a rehabilitation robot to assist with repetitive, active reaching movement of a paretic upper extremity. The robot is equipped with a servo motor-controlled arm-weight support and works in conjunction with neuromuscula...
Male Middle Aged Pilot Projects Recovery of Function Female Aged Adult Biomechanical Phenomena Arm Humans Paresis Chronic Disease Electric Stimulation Therapy Robotics Stroke Rehabilitation Stroke Vibration Feasibility Studies
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Olle Höök Lectureship 2019: The changing world of stroke rehabilitation.

Journal of rehabilitation medicine Apr 29, 2020
The paper presents a summary of the Olle Höök lecture, which was presented at the Baltic North-Sea Forum in Oslo, Sweden, in October 2019. The paper aims to provide a worldwide picture of stroke, developments in this field, and the evolution of strok...
Humans Stroke Sweden Stroke Rehabilitation Robotics
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Quantitative Assessment of Motor Function for Patients with a Stroke by an End-Effector Upper Limb Rehabilitation Robot.

BioMed research international Apr 8, 2020
With the popularization of rehabilitation robots, it is necessary to develop quantitative motor function assessment methods for patients with a stroke. To make the assessment equipment easier to use in clinics and combine the assessment methods with ...
Motor Skills Humans Middle Aged Upper Extremity Young Adult Stroke Rehabilitation Robotics Adult Stroke Male Range of Motion, Articular
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Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.

PloS one Apr 6, 2020
State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in clinical predictive modeling to provide clinical decision support systems to physicians. Modern ML approaches such as artificial neural networks (ANN...
Male Middle Aged Logistic Models Area Under Curve Stroke Neural Networks, Computer Clinical Decision-Making Humans Supervised Machine Learning Forecasting Female Prognosis Outcome Assessment, Health Care Aged Retrospective Studies Aged, 80 and over
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Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 31, 2020
BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilitation does not meet Australian National Stroke Guidelines for cardiovascular exercise, particularly in mobility-dependent patients. Walking robotics ca...
Gait Exercise Therapy Exercise Tolerance Patient Satisfaction Mobility Limitation Prospective Studies Feedback, Psychological Female Robotics Cardiorespiratory Fitness Aged Oxygen Consumption Stroke Rehabilitation Male Time Factors Augmented Reality Humans Middle Aged Treatment Outcome Health Status Stroke Recovery of Function
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A Novel Soft Robotic Supernumerary Hand for Severely Affected Stroke Patients.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 31, 2020
Upper limb functions are severely affected in 23% of the chronic stroke patients, compromising their life quality. To re-enable hand use, providing a degree of functionality and motivating against learned non-use, we propose a robotic supernumerary l...
Treatment Outcome Robotics Hand Stroke Humans Stroke Rehabilitation
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Effects of robotic gait training after stroke: A meta-analysis.

Annals of physical and rehabilitation medicine Mar 27, 2020
BACKGROUND: Robotic devices are often used in rehabilitation and might be efficient to improve walking capacity after stroke.
Aged, 80 and over Male Middle Aged Treatment Outcome Randomized Controlled Trials as Topic Humans Female Aged Stroke Rehabilitation Robotics Stroke Gait Physical Therapy Modalities
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Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Neurorehabilitation and neural repair Mar 20, 2020
. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in chronic stroke patients is a difficult task for clinicians but is key in prescribing appropriate therapeutic strategies. Machine learning is a highly ...
Humans Transcranial Magnetic Stimulation Magnetic Resonance Imaging Chronic Disease Stroke Stroke Rehabilitation Male Exercise Therapy Outcome Assessment, Health Care Neural Networks, Computer Evoked Potentials, Motor Middle Aged Machine Learning Motor Cortex Severity of Illness Index Upper Extremity Female Support Vector Machine Aged
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Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension.

Hypertension (Dallas, Tex. : 1979) Mar 16, 2020
Risk stratification of young patients with hypertension remains challenging. Generally, machine learning (ML) is considered a promising alternative to traditional methods for clinical predictions because it is capable of processing large amounts of c...
Models, Biological Heart Diseases Proportional Hazards Models Adult Adolescent Hypertension Treatment Outcome Prospective Studies Follow-Up Studies Prognosis Antihypertensive Agents Hospitalization Kidney Failure, Chronic Young Adult Stroke Humans Machine Learning Forecasting
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