Geriatrics

gazeNet: End-to-end eye-movement event detection with deep neural networks.

Existing event detection algorithms for eye-movement data almost exclusively rely on thresholding one or more hand-crafted signal features, each computed from the stream of raw gaze data. Moreover, this thresholding is largely left for the end user. Here we present and develop gazeNet, a new framework for creating event detectors that do not require hand-crafted signal features or signal threshold...

Quantifying upper extremity performance with and without assistance of a soft-robotic glove in elderly patients: A kinematic analysis.

OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement execution in elderly people with decreased hand function during a reach-and-grasp task.

[A Domestic Diagnosis System for Early Restless Legs Syndrome Based on Deep Learning].

Restless legs syndrome,as a common sleep disorder,has nowadays long been diagnosed by self-rating scale and polysomnography.In this paper,a domestic d...

[Palm vein recognition based on end-to-end convolutional neural network].

We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network. In this model, the convolutional layer and the po...

Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.

BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis ...

Deep convolutional network for animal sound classification and source attribution using dual audio recordings.

This paper introduces an end-to-end feedforward convolutional neural network that is able to reliably classify the source and type of animal calls in ...

Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences.

MOTIVATION: In bioinformatics, machine learning-based methods that predict the compound-protein interactions (CPIs) play an important role in the virt...

"She Had a Smile on Her Face as Wide as the Great Australian Bite": A Qualitative Examination of Family Perceptions of a Therapeutic Robot and a Plush Toy.

BACKGROUND AND OBJECTIVES: Recent years have seen social robotic pets introduced as a means of treating behavioral and psychological symptoms of demen...

Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnos...

Disruptive Engagements With Technologies, Robotics, and Caring: Advancing the Transactive Relationship Theory of Nursing.

Human caring, founded on a Japanese caring perspective and nursing theory, fosters innovative and creative ideas for an aging society. The growing rea...

[A humanoid robot used with elderly people suffering from cognitive disorders].

An experiment was carried out using a humanoid robot in a nursing home. The aim was to assess the benefit it can offer residents and professionals, as...

Robotic Pets: A Senior's Best Friend?

We are in the midst of a demographic phenomenon known as the graying of society. In more affluent countries, the population is aging. According to the...

[Robotics in elderly care].

Usability evaluation of communication service robot for the elderly.

BACKGROUND: The Republic of Korea has become the most rapidly aging society and is anticipated to enter the post-aged society in 2026. As the populati...

A hierarchically trained generative network for robust facial symmetrization.

Face symmetrization has extensive applications in both medical and academic fields, such as facial disorder diagnosis. Human face possesses an importa...

Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.

BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (AD) remains a major challenge, with demand for tri...

Nursing and Rehabilitative Care of the Elderly Using Humanoid Robots.

Japan's declining birth rate and increasing aging population prompted intercessory efforts towards robot technologies in nursing practice for theelder...

Socially Assistive Robots (SAR) in In-Patient Care for the Elderly.

In-patient care of the elderly is currently being put to the test in all developed industrial nations. The aim is to make the resident-centered and nu...

Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?

Adoption of electronic medical records in hospitals generates a large amount of data. Health care professionals can easily lose their sight on the imp...

Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's disease (AD). An easily administered tool for preliminar...