AIMC Topic: Stroke

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An intelligent support system for automatic detection of cerebral vascular accidents from brain CT images.

Computer methods and programs in biomedicine May 20, 2017
OBJECTIVE: This paper presents a Radial Basis Functions Neural Network (RBFNN) based detection system, for automatic identification of Cerebral Vascular Accidents (CVA) through analysis of Computed Tomographic (CT) images.
Humans Neural Networks, Computer Algorithms Brain Tomography, X-Ray Computed Stroke
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Flexion synergy overshadows flexor spasticity during reaching in chronic moderate to severe hemiparetic stroke.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 12, 2017
OBJECTIVE: Pharmaceutical intervention targets arm flexor spasticity with an often-unsuccessful goal of improving function. Flexion synergy is a related motor impairment that may be inadvertently neglected. Here, flexor spasticity and flexion synergy...
Movement Paresis Muscle Spasticity Electromyography Female Humans Stroke Middle Aged Aged Prospective Studies Arm Severity of Illness Index Cross-Sectional Studies Range of Motion, Articular Chronic Disease Male Robotics
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Validity of Robot-Based Assessments of Upper Extremity Function.

Archives of physical medicine and rehabilitation May 5, 2017
OBJECTIVE: To examine the validity of 5 robot-based assessments of arm motor function poststroke.
Female Aged Aged, 80 and over Young Adult Robotics Humans Disability Evaluation Adult Stroke Cross-Sectional Studies Paresis Male Upper Extremity Middle Aged
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Novel Screening Tool for Stroke Using Artificial Neural Network.

Stroke Apr 24, 2017
BACKGROUND AND PURPOSE: The timely diagnosis of stroke at the initial examination is extremely important given the disease morbidity and narrow time window for intervention. The goal of this study was to develop a supervised learning method to recogn...
Male Middle Aged Stroke Humans Brain Ischemia Neural Networks, Computer Female Aged Sensitivity and Specificity
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Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients.

Journal of medical Internet research Apr 18, 2017
BACKGROUND: The pronator drift test (PDT), a neurological examination, is widely used in clinics to measure motor weakness of stroke patients.
Humans Machine Learning Female Male Stroke Medical Informatics Neurologic Examination
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Quantification of task-dependent cortical activation evoked by robotic continuous wrist joint manipulation in chronic hemiparetic stroke.

Journal of neuroengineering and rehabilitation Apr 17, 2017
BACKGROUND: Cortical damage after stroke can drastically impair sensory and motor function of the upper limb, affecting the execution of activities of daily living and quality of life. Motor impairment after stroke has been thoroughly studied, howeve...
Humans Stroke Rehabilitation Proprioception Wrist Joint Somatosensory Cortex Robotics Female Stroke Adult Activities of Daily Living Male Movement Quality of Life
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Portable and Reconfigurable Wrist Robot Improves Hand Function for Post-Stroke Subjects.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 7, 2017
Rehabilitation robots have become increasingly popular for stroke rehabilitation. However, the high cost of robots hampers their implementation on a large scale. This paper implements the concept of a modular and reconfigurable robot, reducing its co...
Stroke Range of Motion, Articular Patient Satisfaction Forearm Muscle Strength Physical Education and Training Male Robotics Female Stroke Rehabilitation Middle Aged Wrist Games, Experimental Aged Virtual Reality Humans Aged, 80 and over Hand Treatment Outcome Patient Safety
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Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

Stroke Apr 6, 2017
BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulan...
Male Middle Aged Medication Adherence Mobile Applications Artificial Intelligence Female Aged Adult Medical Informatics Applications Anticoagulants Stroke Brain Ischemia Patient Outcome Assessment Humans
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Quantitative EEG for Predicting Upper Limb Motor Recovery in Chronic Stroke Robot-Assisted Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 3, 2017
Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite the developments in motor rehabilitation techniques, recovery of upper limb functions after stroke is limited and heterogeneous in terms of outcomes, a...
Male Middle Aged Diagnosis, Computer-Assisted Robotics Aged Aged, 80 and over Adult Sensitivity and Specificity Humans Upper Extremity Electroencephalography Motion Therapy, Continuous Passive Reproducibility of Results Stroke Rehabilitation Equipment Design Movement Disorders Stroke Equipment Failure Analysis
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Evaluation Results of an Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke Patients.

Methods of information in medicine Feb 21, 2017
OBJECTIVES: 1) To enhance the content of an ontology for designing virtual environments (VEs) for upper limb motor rehabilitation of stroke patients according to the suggestions and comments of rehabilitation specialists and software developers, 2) t...
Stroke Upper Extremity Feedback Humans Exercise Therapy Stroke Rehabilitation Male Software User-Computer Interface Biological Ontologies Female Models, Theoretical Motor Activity Adult
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