Latest AI and machine learning research in geriatrics for healthcare professionals.
Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epoch...
Primary Sjogren's Syndrome (pSS) is a chronic autoimmune disease followed by exocrine gland dysfunct...
The work of a nurse involves tasks that can lead to serious accidents with a single mistake or miss,...
Early prediction of diseased brain conditions is critical for curing illness and preventing irrevers...
In this paper, we propose a new fall detection method that combines 3-axis accelerometer and depth s...
This study investigated the possibility of utilising physiological responses and machine learning te...
Obstructive sleep apnea (OSA) is a common sleep-related respiratory disease that affects people's he...
Proprioception, the ability to sense body position and limb movements in space without visual feedba...
Individuals suffering from quadriplegia can achieve increased independence by using an assistive rob...
Early fall detection is an important issue during gait rehabilitation training. This paper proposes ...
Due to both the hidden nature and the irreversibility of Alzheimers disease (AD), it has become the ...
Alzheimer's disease (AD) is characterized by gradual neurodegeneration and loss of brain function, e...
A crucial quest in neuroimaging is the discovery of image features (biomarkers) associated with neur...
Existing event detection algorithms for eye-movement data almost exclusively rely on thresholding on...
OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement...
Restless legs syndrome,as a common sleep disorder,has nowadays long been diagnosed by self-rating sc...
We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network....
BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (F...
This paper introduces an end-to-end feedforward convolutional neural network that is able to reliabl...
MOTIVATION: In bioinformatics, machine learning-based methods that predict the compound-protein inte...
BACKGROUND AND OBJECTIVES: Recent years have seen social robotic pets introduced as a means of treat...