Geriatrics

Wheelchair Navigation System for Disabled and Elderly People.

An intelligent wheelchair (IW) system is developed in order to support safe mobility for disabled or elderly people with various impairments. The proposed IW offers two main functions: obstacle detection and avoidance, and situation recognition. First, through a combination of a vision sensor and eight ultrasonic ones, it detects diverse obstacles and produces occupancy grid maps (OGMs) that descr...

Transforming Growth Factor β1 (TGF-β1) in the Sera of Postmenopausal Osteoporotic Females.

BACKGROUND: Postmenopausal osteoporosis is a major cause of morbidity in postmenopausal females. Transforming growth factor β1 (TGF-β1) and interleukin 18 (IL-18) play complex roles in normal bone metabolism, and in pathophysiology of postmenopausal osteoporosis.

Do children and adolescent ice hockey players with and without a history of concussion differ in robotic testing of sensory, motor and cognitive function?

BACKGROUND: KINARM end point robotic testing on a range of tasks evaluating sensory, motor and cognitive function in children/adolescents with no neur...

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data.

Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is still an area of active research. Several multi-view...

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.

The diagnosis of Alzheimer's disease (AD) from neuroimaging data at the pre-clinical stage has been intensively investigated because of the immense so...

Robots to assist daily activities: views of older adults with Alzheimer's disease and their caregivers.

BACKGROUND: Robots have the potential to both enable older adults with dementia to perform daily activities with greater independence, and provide sup...

Lower prevalence of proliferative diabetic retinopathy in elderly onset patients with diabetes.

AIMS: To assess diabetic retinopathy (DR) prevalence between elderly onset and younger onset diabetes with similar diabetes duration and evaluate the ...

Making use of longitudinal information in pattern recognition.

Longitudinal designs are widely used in medical studies as a means of observing within-subject changes over time in groups of subjects, thereby aiming...

Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.

Computer-aided diagnosis (CAD) systems constitute a powerful tool for early diagnosis of Alzheimer's disease (AD), but limitations on interpretability...

Prediction of selective estrogen receptor beta agonist using open data and machine learning approach.

BACKGROUND: Estrogen receptors (ERs) are nuclear transcription factors that are involved in the regulation of many complex physiological processes in ...

Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest.

Alzheimer's disease (AD) is an irreversible neurodegenerative disease and affects a large population in the world. Cognitive scores at multiple time p...

NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease.

BACKGROUND: Neurodegenerative diseases are incurable and debilitating indications with huge social and economic impact, where much is still to be lear...

Assessing the user experience of older adults using a neural network trained to recognize emotions from brain signals.

The use of Ambient Assisted Living (AAL) technologies as a means to cope with problems that arise due to an increasing and aging population is becomin...

Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI.

Brain network alterations in patients with Alzheimer's disease (AD) has been the subject of much investigation, but the biological mechanisms underlyi...

A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging.

Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer's disease (AD). Non-invasive diagnostic methods are...

Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches.

OBJECTIVES: This study proposed a new automated screening system based on a hybrid genetic swarm fuzzy (GSF) classifier using digital dental panoramic...

Ethical challenges in the use of social service robots for elderly people.

Socially assistive robots are increasingly discussed as solutions in care and domestic use for the support of senior adults; however, this raises ethi...

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

BACKGROUND: Surgical resection is a critical element in the treatment of esophageal cancer. Esophagectomy is technically challenging and is associated...

Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia.

A novel technique of quantitative EEG for differentiating patients with early-stage Creutzfeldt-Jakob disease (CJD) from other forms of rapidly progre...

Evaluation of a Home Biomonitoring Autonomous Mobile Robot.

Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomo...