Geriatrics

Modeling and motion compensation of a bidirectional tendon-sheath actuated system for robotic endoscopic surgery.

Recent study shows that tendon-sheath system (TSS) has great potential in the development of surgical robots for endoscopic surgery. It is able to deliver adequate power in a light-weight and compact package. And the flexibility and compliance of the tendon-sheath system make it capable of adapting to the long and winding path in the flexible endoscope. However, the main difficulties in precise co...

Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) and end-systolic (ES) images for accurate quantification of left ventricular (LV) function in real-time cine imaging.

Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related t...

Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor ima...

Autonomous unobtrusive detection of mild cognitive impairment in older adults.

The current diagnosis process of dementia is resulting in a high percentage of cases with delayed detection. To address this problem, in this paper, w...

Prediction of drug gene associations via ontological profile similarity with application to drug repositioning.

The amount of biomedical literature has been increasing rapidly during the last decade. Text mining techniques can harness this large-scale data, shed...

Re: A prospective study examining the association between preoperative frailty and postoperative complications in patients undergoing minimally invasive surgery.

Towards a future robotic home environment: a survey.

PURPOSE: Demographic change has resulted in an increase of elderly people, while at the same time the number of active working people is falling. In t...

Quantifying care coordination using natural language processing and domain-specific ontology.

OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HH...

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Alzheimer's disease (AD). For the effective treatmen...

Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Decision-making systems trained on structural magnetic resonance imaging data of subjects affected by the Alzheimer's disease (AD) and healthy control...

Manifold regularized multitask feature learning for multimodality disease classification.

Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive...

End-point impedance measurements across dominant and nondominant hands and robotic assistance with directional damping.

The goal of this paper is to perform end-point impedance measurements across dominant and nondominant hands while doing airbrush painting and to use t...

Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly pe...

Classifier calibration using splined empirical probabilities in clinical risk prediction.

The aims of supervised machine learning (ML) applications fall into three broad categories: classification, ranking, and calibration/probability estim...

The Attitudes and Perceptions of Older Adults With Mild Cognitive Impairment Toward an Assistive Robot.

The purpose of this study was to explore perceived difficulties and needs of older adults with mild cognitive impairment (MCI) and their attitudes tow...

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment ...

Review on design and control aspects of ankle rehabilitation robots.

Ankle rehabilitation robots can play an important role in improving outcomes of the rehabilitation treatment by assisting therapists and patients in n...

Systematic Modality Ablation of Multimodal Machine Learning for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer's Disease

Multimodal biomarkers have transformed Alzheimer's disease research, but the incremental contribution of individual modalities to predicting progressi...

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, t...