AIMC Topic: Motor Activity
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Validation of computerized square-drawing based evaluation of motor function in patients with stroke.
Medical engineering & physics
Jul 22, 2019
Human-administered clinical scales are commonly used for quantifying motor performance and determining the course of therapy in post-stroke individuals. Computerized methods aim to improve consistency, resolution and duration of patients' evaluation....
Improving the repeatability of two-rate model parameter estimations by using autoencoder networks.
Progress in brain research
Jun 8, 2019
The adaptive changes elicited in visuomotor adaptation experiments are usually well explained at group level by two-rate models (Smith et al., 2006), but parameters fitted to individuals show considerable variance. Data cleaning can mitigate this pro...
Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework.
Scientific reports
May 30, 2019
Examination of rodent vocalizations in experimental conditions can yield valuable insights into how disease manifests and progresses over time. It can also be used as an index of social interest, motivation, emotional development or motor function de...
Class discrepancy-guided sub-band filter-based common spatial pattern for motor imagery classification.
Journal of neuroscience methods
May 26, 2019
BACKGROUND: Motor imagery classification, an important branch of brain-computer interface (BCI), recognizes the intention of subjects to control external auxiliary equipment. Therefore, EEG-based motor imagery classification has received increasing a...
Combination of Exoskeletal Upper Limb Robot and Occupational Therapy Improve Activities of Daily Living Function in Acute Stroke Patients.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 30, 2019
PURPOSE: Previous studies have suggested that upper limb rehabilitation using therapeutic robots improves motor function of stroke patients. However, the effect of upper limb robotic rehabilitation on improving functioning in activities of daily livi...
Motor Activity
Upper Extremity
Stroke Rehabilitation
Disability Evaluation
Equipment Design
Stroke
Combined Modality Therapy
Japan
Activities of Daily Living
Paresis
Exoskeleton Device
Treatment Outcome
Recovery of Function
Robotics
Occupational Therapy
Adult
Male
Middle Aged
Time Factors
Humans
Female
Aged
Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface.
Journal of neuroscience methods
Apr 1, 2019
BACKGROUND: Recently, hybrid brain-computer interfaces (BCIs) combining more than one modality have been investigated with the aim of boosting the performance of the existing single-modal BCIs in terms of accuracy and information transfer rate (ITR)....
Evaluation of a sensor algorithm for motor state rating in Parkinson's disease.
Parkinsonism & related disorders
Mar 26, 2019
INTRODUCTION: A treatment response objective index (TRIS) was previously developed based on sensor data from pronation-supination tests. This study aimed to examine the performance of TRIS for medication effects in a new population sample with Parkin...
Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition.
Neural computation
Mar 18, 2019
Practical motor imagery electroencephalogram (EEG) data-based applications are limited by the waste of unlabeled samples in supervised learning and excessive time consumption in the pretraining period. A semisupervised deep stacking network with an a...
Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning.
Parkinsonism & related disorders
Feb 22, 2019
INTRODUCTION: Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms. For example, idiopathic hyposmia (IH), which is a reduced olfactory sensitivity, is typical in >95% of PD patients ...
A Single Session of Robot-Controlled Proprioceptive Training Modulates Functional Connectivity of Sensory Motor Networks and Improves Reaching Accuracy in Chronic Stroke.
Neurorehabilitation and neural repair
Dec 29, 2018
BACKGROUND: Passive robot-generated arm movements in conjunction with proprioceptive decision making and feedback modulate functional connectivity (FC) in sensory motor networks and improve sensorimotor adaptation in normal individuals. This proof-of...
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