AIMC Topic: Diagnostic Techniques, Neurological

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Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing.

Journal of neuroengineering and rehabilitation Jul 2, 2020
BACKGROUND: Traditional clinical assessments are used extensively in neurology; however, they can be coarse, which can also make them insensitive to change. Kinarm is a robotic assessment system that has been used for precise assessment of individual...
Learning Female Reproducibility of Results Humans Robotics Motor Activity Diagnostic Techniques, Neurological Adult Male Cognition
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Toward a motor signature in autism: Studies from human-machine interaction.

L'Encephale Nov 29, 2018
BACKGROUND: Autism spectrum disorder (ASD) is a heterogeneous group of neurodevelopmental disorders which core symptoms are impairments in socio-communication and repetitive symptoms and stereotypies. Although not cardinal symptoms per se, motor impa...
Female Male Diagnosis, Computer-Assisted Autism Spectrum Disorder Computer Simulation Motor Activity Motor Skills Disorders Diagnostic Techniques, Neurological Child Posture Robotics Humans Machine Learning
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Low-Cost Robotic Assessment of Visuo-Motor Deficits in Alzheimer's Disease.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 26, 2017
A low-cost robotic interface was used to assess the visuo-motor performance of patients with Alzheimer's disease (AD). Twenty AD patients and twenty age-matched controls participated in this work. The battery of tests included simple reaction times, ...
Psychomotor Performance Equipment Failure Analysis Motor Skills Disorders Diagnostic Techniques, Neurological Reaction Time Alzheimer Disease Cost-Benefit Analysis Equipment Design Italy Aged Humans Aged, 80 and over Female Sensitivity and Specificity Reproducibility of Results Male Middle Aged Robotics
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Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 16, 2017
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this...
Robotics Workload Stroke Task Performance and Analysis Man-Machine Systems Physical Examination Male Middle Aged Diagnosis, Computer-Assisted Adult Sensitivity and Specificity Reproducibility of Results Movement Disorders Aged Humans Diagnostic Techniques, Neurological Aged, 80 and over Female
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A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Mar 21, 2016
OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The pu...
Observer Variation Male Diagnostic Techniques, Neurological Middle Aged Head Injuries, Closed Post-Concussion Syndrome Robotics Urban Population Young Adult Humans Emergency Service, Hospital Follow-Up Studies Adult Female Sensitivity and Specificity Brain Injuries
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Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.

Advances in experimental medicine and biology Jan 1, 2020
There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagnostic biomarkers. Like the majority of diseases, the earlier the diagnosis, the most effective the treatment. (Semi)-automated structural magnetic res...
Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Bayes Theorem Brain Alzheimer Disease Diagnostic Techniques, Neurological Multivariate Analysis Case-Control Studies Humans Diagnosis, Computer-Assisted Machine Learning
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