AIMC Topic: Adult

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Robust Machine Learning-Based Correction on Automatic Segmentation of the Cerebellum and Brainstem.

PloS one
Automated segmentation is a useful method for studying large brain structures such as the cerebellum and brainstem. However, automated segmentation may lead to inaccuracy and/or undesirable boundary. The goal of the present study was to investigate w...

Rule based fuzzy logic approach for classification of fibromyalgia syndrome.

Australasian physical & engineering sciences in medicine
Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in women, manifesting itself with a widespread pain and impairing the individual's quality of life. FMS diagnosis is made based on the American College of ...

Biomechanical effects of body weight support with a novel robotic walker for over-ground gait rehabilitation.

Medical & biological engineering & computing
Body weight support (BWS) promotes better functional outcomes for neurologically challenged patients. Despite the established effectiveness of BWS in gait rehabilitation, the findings on biomechanical effects of BWS training still remain contradictor...

First-in-human robotic percutaneous coronary intervention for unprotected left main stenosis.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
The safety and feasibility of robotically-assisted percutaneous coronary intervention (PCI) for simple coronary lesions has been demonstrated. The CorPath robotic system (Corpath 200, Corindus, Waltham, MA) consists of a robotic arm mounted on the ca...

Stress Detection Using Wearable Physiological and Sociometric Sensors.

International journal of neural systems
Stress remains a significant social problem for individuals in modern societies. This paper presents a machine learning approach for the automatic detection of stress of people in a social situation by combining two sensor systems that capture physio...

Models of logistic regression analysis, support vector machine, and back-propagation neural network based on serum tumor markers in colorectal cancer diagnosis.

Genetics and molecular research : GMR
We evaluated the application of three machine learning algorithms, including logistic regression, support vector machine and back-propagation neural network, for diagnosing congenital heart disease and colorectal cancer. By inspecting related serum t...

Comparison of three different techniques for camera and motion control of a teleoperated robot.

Applied ergonomics
This research aims to evaluate new methods for robot motion control and camera orientation control through the operator's head orientation in robot teleoperation tasks. Specifically, the use of head-tracking in a non-invasive way, without immersive v...

Evaluation of Strategies for Integrated Classification of Visual-Manual and Cognitive Distractions in Driving.

Human factors
BACKGROUND: Prior studies have demonstrated unique driver behavior outcomes when visual and cognitive distraction occurs simultaneously as compared to the occurrence of one form of distraction alone. This situation implies additional complexity for t...

Effects of reduced plantar cutaneous sensation on static postural control in individuals with and without chronic ankle instability.

Journal of science and medicine in sport
OBJECTIVES: The purpose of this study was to determine how reduced plantar cutaneous sensation influences static postural control in individuals with and without CAI.

Early Experience of Robot-Assisted Esophagectomy With Circular End-to-End Stapled Anastomosis.

The Annals of thoracic surgery
BACKGROUND: Surgical resection is a critical element in the treatment of esophageal cancer. Esophagectomy is technically challenging and is associated with high morbidity and mortality rates. Efforts to reduce these rates have spurred the adoption of...