Latest AI and machine learning research in geriatrics for healthcare professionals.
Automatic detection of falls is important for enabling people who are older to safely live independently longer within their homes. Current automated fall detection systems are typically designed using inertial sensors positioned on the body that generate an alert if there is an abrupt change in motion. These inertial sensors provide no information about the context of the person being monitored a...
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The periodic modulation of the amplitude of the breathing pattern is proved to be one of the multiple symptoms of an acute episode, and thus, the features e...
In this paper, we have enhanced smart carpet, which is a floor based personnel detector system, to detect falls using a faster but low cost processor....
Fall-related accidents constitute a major problem for elderly people and a burden to the health-care national system. It is therefore important to des...
This paper presents the employment of LEGO Mindstorms NXT robotics as core component of low cost multidisciplinary platform for assisting elderly and ...
Clinical evidences of acupuncture and moxibustion for sudden hearing loss(SHL) were completely collected, and the quality of the evidences was evaluat...
We present a comparative split-half resampling analysis of various data driven feature selection and classification methods for the whole brain voxel-...
INTRODUCTION: Down Syndrome (DS) adults experience accumulation of Alzheimer's disease (AD)-like amyloid plaques and tangles and a high incidence of d...
The purpose of this study was to quantitatively compare the effects, on walking performance, of end-effector robotic rehabilitation locomotor training...
The emergence of Alzheimer's Disease (AD) as a consequence of increasing aging population makes urgent the availability of methods for the early and a...
Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that has no cure and leads to death. One of the most pre...
The analysis of positron emission tomography (PET) scan image is challenging due to a high level of noise and a low resolution and also because differ...
The merging of the human world and the information technology world is advancing at a pace, even for those with dementia there are many useful smart '...
In Japan, the population is expected to decrease. Moreover, the proportion of elderly people living alone among the elderly population is expected to ...
As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to convert to AD. Effective prediction of such convers...
This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. Afte...
OBJECTIVE: To investigate the anti-aging effect of polysaccharides from Urtica lobatifolia (Urtica polysaccharides) on subacute aging mice induced by ...
While SCUBA diving, a 44-year-old Caucasian patient had an abnormal cardiac rhythm, presumably Torsade de Pointes (TdP), during the initial descent to...
In this paper, we propose a novel feature selection-based method for facial age estimation. The face aging is a typical temporal process, and facial i...
In this paper, a dynamic releasing approach is proposed for high-speed biological cell manipulation. A compact parallel mechanism for grasping and rel...