AIMC Topic: Sleep
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Lounging with robots--social spaces of residents in care: A comparison trial.
Australasian journal on ageing
Dec 2, 2015
AIMS: To investigate whether robots could reduce resident sleeping and stimulate activity in the lounges of an older persons' care facility.
Effect of an interactive therapeutic robotic animal on engagement, mood states, agitation and psychotropic drug use in people with dementia: a cluster-randomised controlled trial protocol.
BMJ open
Aug 12, 2015
INTRODUCTION: Apathy, agitated behaviours, loneliness and depression are common consequences of dementia. This trial aims to evaluate the effect of a robotic animal on behavioural and psychological symptoms of dementia in people with dementia living ...
Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter.
Physiological measurement
Aug 11, 2015
This study proposes a method of automatically classifying sleep apnea/hypopnea events based on sleep states and the severity of sleep-disordered breathing (SDB) using photoplethysmogram (PPG) and oxygen saturation (SpO2) signals acquired from a pulse...
Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers.
Biomedical engineering online
Jun 6, 2015
BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators of cognitive health status and their assessment is a measure of independence in everyday living. ADL are difficult to reliably assess using questionna...
Summarizing and visualizing structural changes during the evolution of biomedical ontologies using a Diff Abstraction Network.
Journal of biomedical informatics
Jun 3, 2015
Biomedical ontologies are a critical component in biomedical research and practice. As an ontology evolves, its structure and content change in response to additions, deletions and updates. When editing a biomedical ontology, small local updates may ...
A bibliometric analysis of wearable device research in sleep science: Trends and hotspots.
Medicine
Jun 13, 2025
OBJECTIVE: This study aims to examine academic discourse on wearable devices for sleep, evaluating the domain's current landscape and identifying key research foci.
Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary.
Sleep
Jun 13, 2025
The National Center on Sleep Disorders Research of the National Heart, Lung, and Blood Institute at the National Institutes of Health hosted a 2-day virtual workshop titled Big Data Approaches for Novel Mechanistic Insights on Disorders of Sleep and ...
CRT: A Convolutional Recurrent Transformer for Automatic Sleep State Detection.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Sleep is a crucial period of rest necessary for optimal cognitive function, psychological well-being, and execution of everyday tasks. In the field of sleep healthcare, the primary objective is to identify and classify the various sleep states. Imple...
A case study on generative artificial intelligence to extract the fundamental sleep parameters from polysomnography notes.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Jun 1, 2025
UNLABELLED: Generative artificial intelligence utilizing transformer technology is widely seen as a groundbreaking advancement in applied artificial intelligence. The technology creates a unique opportunity to extract unstructured data from medical n...
Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Feb 1, 2025
STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particularly in community settings. This study aimed to investigate a predictive model for sleep efficiency and its associated features in older adults living...
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