Latest AI and machine learning research in geriatrics for healthcare professionals.
The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine transform (DST), discrete wavelet transform (DWT), and mel-scale frequency cepstral coefficients (MFCCs) are powerful feature extraction techniques. This article presents a proposed computer-aided diagnosis (CAD) system for extracting the most effective and significant features of Alzheimer's disease...
The study of engagement in people with dementia is important to determine the effectiveness of interventions that aim to promote meaningful activity. However, the assessment of engagement for people with dementia in relation to our current work that uses social robots is fraught with challenges. The Video Coding - Incorporating Observed Emotion (VC-IOE) protocol that focuses on six dimensions of e...
BACKGROUND: Better diagnostic and prognostic tools are needed to address issues related to early diagnosis and management of concussion across the con...
AIM: We investigated the prognostic value of preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) in non-cardiac surgery in elderly patie...
Biofeedback from physical rehabilitation exercises has proved to lead to faster recovery, better outcomes, and increased patient motivation. In additi...
End-user development is a new trend to provide tailored services to dynamic environments such as hospitals. These services not only facilitate daily w...
The application of biologically inspired methods in design and control has a long tradition in robotics. Unlike previous approaches in this direction,...
Medical technology makes an inevitable trend for the elderly population, therefore the intelligent home care is an important direction for science and...
A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) was admitted to the intensive care unit following a...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common type of dementia among older people. The number of patients w...
PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnosing Alzheimer's disease (AD) are still limited. We...
OBJECTIVE: Third-generation aromatase inhibitors (AI) are potent suppressors of aromatase activity. The aim of this study was to measure the incidence...
OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents with moderate to severe dementia participating in a r...
BACKGROUND: Ginseng has been used as a tonic for invigoration of the human body. In a previous report, we identified a novel candidate responsible for...
Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis has attracted researchers in the field, due to the ...
We developed a wheelchair robot to support the movement of elderly people and specifically implemented two functions to enhance their intention to use...
Computer-aided diagnosis of dementia using a support vector machine (SVM) can be improved with feature selection. The relevance of individual features...
Fall prevention is one of the most important functions of walking assistance devices for user's safety. It is preferable that these devices prevent th...
OBJECTIVE: Boosting accuracy in automatically discriminating patients with Alzheimer's disease (AD) and normal controls (NC), based on multidimensiona...
Tympanostomy tube placement has been commonly used nowadays as a surgical treatment for otitis media. Following the placement, regular scheduled follo...