AIMC Topic: Brain Injuries

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Robotic pilot study for analysing spasticity: clinical data versus healthy controls.

Journal of neuroengineering and rehabilitation Dec 2, 2015
BACKGROUND: Spasticity is a motor disorder that causes significant disability and impairs function. There are no definitive parameters that assess spasticity and there is no universally accepted definition. Spasticity evaluation is important in deter...
Female Adult Cross-Sectional Studies Humans Algorithms Linear Models Muscle Spasticity Models, Theoretical Brain Injuries Robotics Male Middle Aged Pilot Projects
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Spinal plasticity in robot-mediated therapy for the lower limbs.

Journal of neuroengineering and rehabilitation Sep 17, 2015
Robot-mediated therapy can help improve walking ability in patients following injuries to the central nervous system. However, the efficacy of this treatment varies between patients, and evidence for the mechanisms underlying functional improvements ...
Lower Extremity Brain Injuries Robotics Humans Neuronal Plasticity Spinal Cord Injuries
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Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury.

Health economics Jun 8, 2015
For a continuous treatment, the generalised propensity score (GPS) is defined as the conditional density of the treatment, given covariates. GPS adjustment may be implemented by including it as a covariate in an outcome regression. Here, the unbiased...
Continuity of Patient Care Algorithms Adult Treatment Outcome Brain Injuries Critical Care Propensity Score Humans Machine Learning
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Unconsciousness Multivariate Analysis Injury Severity Score Humans Vomiting Machine Learning Algorithms Databases, Factual Logistic Models Retrospective Studies Child, Preschool Models, Theoretical Tomography, X-Ray Computed Brain Injuries Child Population Surveillance Female ROC Curve Accidents, Traffic Male Skull Fractures Case-Control Studies
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Robotic-assisted gait training in neurological patients: who may benefit?

Annals of biomedical engineering Feb 28, 2015
Regaining one's ability to walk is of great importance for neurological patients and is a major goal of all rehabilitation programs. Gait training of severely affected patients after the neurological event is technically difficult because of their mo...
Multiple Sclerosis Spinal Cord Injuries Stroke Rehabilitation Humans Brain Injuries Robotics Gait
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Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury.

Computers in biology and medicine Nov 15, 2014
Permutation entropy is computationally efficient, robust to outliers, and effective to measure complexity of time series. We used this technique to quantify the complexity of continuous vital signs recorded from patients with traumatic brain injury (...
Trauma Severity Indices Brain Injuries Humans Predictive Value of Tests Artificial Intelligence Vital Signs Databases, Factual
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The first step in using a robot in brain injury rehabilitation: patients' and health-care professionals' perspective.

Disability and rehabilitation. Assistive technology Apr 28, 2014
PURPOSE: To evaluate the usability of a mobile telepresence robot (MTR) in a hospital training apartment (HTA). The MTR was manoeuvred remotely and was used for communication when assessing independent living skills, and for security monitoring of co...
Humans Attitude of Health Personnel Female User-Computer Interface Aged Robotics Male Brain Injuries Independent Living Adult Occupational Therapy Middle Aged Videoconferencing Communication Cognition Disorders Nurses
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Automatic Identification of Brain Injury Mechanism Based on Deep Learning.

Fa yi xue za zhi Apr 25, 2022
OBJECTIVES: To apply the convolutional neural network (CNN) Inception_v3 model in automatic identification of acceleration and deceleration injury based on CT images of brain, and to explore the application prospect of deep learning technology in for...
Neural Networks, Computer Brain Deep Learning Humans Brain Injuries
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[Evaluation of brain injury caused by stick type blunt instruments based on convolutional neural network and finite element method].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2022
The finite element method is a new method to study the mechanism of brain injury caused by blunt instruments. But it is not easy to be applied because of its technology barrier of time-consuming and strong professionalism. In this study, a rapid and ...
Brain Computer Simulation Brain Injuries Finite Element Analysis Humans Neural Networks, Computer
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Inverting the Turing Test - Machine Learning to Detect Cognition in the ICU.

The New England journal of medicine Jun 27, 2019
Cognition Brain Injuries Humans Machine Learning Brain Intensive Care Units
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