The Internet of Things in dementia: A systematic review

M Esquer-Rochin, LF Rodríguez, JO Gutierrez-Garcia - Internet of Things, 2023 - Elsevier
Dementia is characterized by a progressive deterioration in cognitive functions and
behavioral problems. Due to its importance, in the domain of Internet of Things (IoT), where …

Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices–A scoping review

K Wang, M Ghafurian, D Chumachenko, S Cao… - Computers in Biology …, 2024 - Elsevier
Background The aging population is steadily increasing, posing new challenges and
opportunities for healthcare systems worldwide. Technological advancements, particularly in …

[HTML][HTML] A federated learning model based on hardware acceleration for the early detection of alzheimer's disease

K Khalil, MMR Khan Mamun, A Sherif, MS Elsersy… - Sensors, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive illness with a slow start that lasts many years; the
disease's consequences are devastating to the patient and the patient's family. If detected …

[HTML][HTML] A collaborative semantic framework based on activities for the development of applications in smart home living labs

C Rodríguez-Gallego, F Díez-Muñoz… - Future Generation …, 2023 - Elsevier
An essential element to improve the quality of life at home is to understand the behavior of
its inhabitants and the activities they perform on a daily basis. The collection and analysis of …

A smart healthcare-based system for classification of dementia using deep learning

J Lim - Digital Health, 2022 - journals.sagepub.com
Objectives This study aims to develop a deep learning-based classification model for early
detection of dementia using a wearable device that can measure the electrical conductivity …

[HTML][HTML] Leveraging Technology to Diagnose Alzheimer's Disease: A Systematic Review and Meta-Analysis

CS Kruse, ME Mileski, R Wilkinson, B Hock, R Samson… - Healthcare, 2023 - mdpi.com
Background: About 50 million people worldwide suffered from dementia in 2018—two-thirds
of those with Alzheimer's disease (AD). By 2050, this number is expected to rise to 152 …

[HTML][HTML] A predictive model of regional dementia prevalence using geographic weighted regression analysis

J Lim, JH Park - Journal of Personalized Medicine, 2022 - mdpi.com
Globally, dementia is one of the highest priority public health policy issues. This study was
conducted to analyze the spatial distribution pattern of dementia prevalence using …

[HTML][HTML] Artificial Intelligence for Detection of Dementia Using Motion Data: A Scoping Review

L Puterman-Salzman, J Katz, H Bergman… - Dementia and …, 2023 - ncbi.nlm.nih.gov
Background Dementia is a neurodegenerative disease resulting in the loss of cognitive and
psychological functions. Artificial intelligence (AI) may help in detection and screening of …

A Dementia Diagnosis Technique Based on AI and Hardware Acceleration

K Khalil, MMRK Mamun, A Sherif… - … , and Internet of …, 2023 - ieeexplore.ieee.org
The effects of Alzheimer's disease (AD) are devastating, both personally and within the
patient's family, as the disease progresses slowly over many years. It could significantly …

[PDF][PDF] Leveraging Technology To Diagnose Alzheimer's Disease: A Meta Analysis

CS Kruse, MM Mileski, R Wilkinson, B Larson… - 2022 - academia.edu
Leveraging Technology To Diagnose Alzheimer's Disease: A Meta Analysis Page 1 Page 1/31
Leveraging Technology To Diagnose Alzheimer's Disease: A Meta Analysis Clemens Scott …