Spatio‐temporal digital markers of behavioural and psychological symptoms to support clinical dementia care

RTLS systems are a low-effort method to objectively track changes in resident movements and behaviours longitudinally. We demonstrated that RTLS-derived digital markers can describe behavioural symptoms in dementia, although further validation in long-term care settings is needed.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70858_100300
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatio‐temporal digital markers of behavioural and psychological symptoms to support clinical dementia care

Shehroz S. Khan, Zain Ul Hasan, Leia C Shum, Yasser Karam et al.
Alzheimer s & Dementia
Context-Aware Activity Recognition Systems
article

Spatio‐temporal digital markers of behavioural and psychological symptoms to support clinical dementia care

Shehroz S. Khan, Zain Ul Hasan, Leia C Shum, Yasser Karam, Andrea Iaboni
article en

Abstract

RTLS systems are a low-effort method to objectively track changes in resident movements and behaviours longitudinally. We demonstrated that RTLS-derived digital markers can describe behavioural symptoms in dementia, although further validation in long-term care settings is needed.

Alzheimer s & DementiaVol. 21(S4)
University of Toronto (CA), Toronto Rehabilitation Institute (CA)
Openalex Percentile: Top 36%
Context-Aware Activity Recognition Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.