AIMC Topic: Aged

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Prediction of Prolonged Ventilation after Coronary Artery Bypass Grafting: Data from an Artificial Neural Network.

The heart surgery forum
OBJECTIVES: The need for mechanical ventilation 24 hours after coronary artery bypass grafting (CABG) is considered a morbidity by the Society of Thoracic Surgeons. The purpose of this investigation was twofold: to identify simple preoperative patien...

Artificial neural network-based model enhances risk stratification and reduces non-invasive cardiac stress imaging compared to Diamond-Forrester and Morise risk assessment models: A prospective study.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
BACKGROUND: Coronary artery disease (CAD) accounts for more than half of all cardiovascular events. Stress testing remains the cornerstone for non-invasive assessment of patients with possible or known CAD. Clinical utilization reviews show that most...

Analysis of facial expressions in parkinson's disease through video-based automatic methods.

Journal of neuroscience methods
BACKGROUND: The automatic analysis of facial expressions is an evolving field that finds several clinical applications. One of these applications is the study of facial bradykinesia in Parkinson's disease (PD), which is a major motor sign of this neu...

Efficacy of Short-Term Robot-Assisted Rehabilitation in Patients With Hand Paralysis After Stroke: A Randomized Clinical Trial.

Hand (New York, N.Y.)
BACKGROUND: We evaluated the effectiveness of robot-assisted motion and activity in additional to physiotherapy (PT) and occupational therapy (OT) on stroke patients with hand paralysis.

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
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...

Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer.

PloS one
Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over weeks and months based on questionnaires, which may not accurately map ...

Machine Learning Principles Can Improve Hip Fracture Prediction.

Calcified tissue international
Apply machine learning principles to predict hip fractures and estimate predictor importance in Dual-energy X-ray absorptiometry (DXA)-scanned men and women. Dual-energy X-ray absorptiometry data from two Danish regions between 1996 and 2006 were com...

Robotic-assisted gait training in Parkinson's disease: a three-month follow-up randomized clinical trial.

The International journal of neuroscience
PURPOSE: The aim of this study was to evaluate the efficacy of a robotic-assisted gait training (RAGT), together with a conventional exercise program (CEP), to improve PD ambulation, as compared to standard gait training.