A roadmap towards energy‐efficient data fusion methods in the Internet of Things
B Pourghebleh, N Hekmati… - Concurrency and …, 2022 - Wiley Online Library
Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …
[HTML][HTML] Sensor-based agitation prediction in institutionalized people with dementia A systematic review
Early detection of agitation in individuals with dementia can lead to timely interventions,
preventing the worsening of situations and enhancing their quality of life. The emergence of …
preventing the worsening of situations and enhancing their quality of life. The emergence of …
Skeletal video anomaly detection using deep learning: Survey, challenges, and future directions
The existing methods for video anomaly detection mostly utilize videos containing
identifiable facial and appearance-based features. The use of videos with identifiable faces …
identifiable facial and appearance-based features. The use of videos with identifiable faces …
Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models
Introduction Behavioral and psychological symptoms of dementia (BPSD) signal distress or
unmet needs and present a risk to people with dementia and their caregivers. Variability in …
unmet needs and present a risk to people with dementia and their caregivers. Variability in …
Scan once, analyse many: using large open-access neuroimaging datasets to understand the brain
CR Madan - Neuroinformatics, 2022 - Springer
We are now in a time of readily available brain imaging data. Not only are researchers now
sharing data more than ever before, but additionally large-scale data collecting initiatives …
sharing data more than ever before, but additionally large-scale data collecting initiatives …
A comparison of three heart rate detection algorithms over ballistocardiogram signals
Heart rate (HR) detection from ballistocardiogram (BCG) signals is challenging because the
signal morphology can vary between and within-subjects. Also, it differs from one sensor to …
signal morphology can vary between and within-subjects. Also, it differs from one sensor to …
A pilot study to detect agitation in people living with dementia using multi-modal sensors
People living with dementia (PLwD) often exhibit behavioral and psychological symptoms,
such as episodes of agitation and aggression. Agitated behavior in PLwD causes distress …
such as episodes of agitation and aggression. Agitated behavior in PLwD causes distress …
Agitation detection in people living with dementia using multimodal sensors
People Living with Dementia (PLwD) often exhibit behavioral and psychological symptoms
of dementia; with agitation being one of the most prevalent symptoms. Agitated behaviour in …
of dementia; with agitation being one of the most prevalent symptoms. Agitated behaviour in …
Factors influencing the use of big data within healthcare services: a systematic review
Background: The emergence of big data holds the promise of aiding healthcare providers by
identifying patterns and converting vast quantities of data into actionable insights facilitating …
identifying patterns and converting vast quantities of data into actionable insights facilitating …
Unobtrusive monitoring of sleep cycles: a technical review
Polysomnography is the gold-standard method for measuring sleep but is inconvenient and
limited to a laboratory or a hospital setting. As a result, the vast majority of patients do not …
limited to a laboratory or a hospital setting. As a result, the vast majority of patients do not …