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This paper is in the following e-collection/theme issue:

Usability and Technology Use Studies with Elder Subjects (502) Mobile Health (mhealth) (5140) mHealth for Data Collection and Research (1715) Dementia and Cognitive Decline (876) Wearable Devices and Sensors (1571) Machine Learning (3139) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (305) Artificial Intelligence (4718)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68156, first published .
Elderly man alarmed by smartwatch and surveillance tech monitoring vital signs

Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study

Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study

Authors of this article:

Abeer Badawi1 Author Orcid Image ;   Somayya Elmoghazy1 Author Orcid Image ;   Samira Choudhury2, 3 Author Orcid Image ;   Sara Elgazzar4 Author Orcid Image ;   Khalid Elgazzar1, 5 Author Orcid Image ;   Amer M Burhan2, 6 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Amadiaz Y, Alfonso-Lizarazo E, Nait Sidi Moh A. A systematic review of healthcare cyber–physical systems with associated innovative technologies for Alzheimer’s and Parkinson’s Diseases. Array 2025;28:100575 View
  2. von Bosse A, Ziegler M, Heinrich S. Insights on Recruitment, Implementation, and Movement Pattern Detection by Exploring the Feasibility of Sensor-Based Insole Technology in Long-Term Care: Mixed Methods Feasibility Study. JMIR Formative Research 2026;10:e83133 View
  3. Cecchetti S, Duchowski A, Cavallo M. “See What I Mean?” Linguistic Digital Markers of Cognitive Decline in Nursing Home Residents. Journal of Integrative Neuroscience 2026;25(5) View
  4. Xu J, Li B, Feng P, Zhang Y, Yang S. SAS-Net: An Agitated Behavior Early Warning Model for Community-Dwelling Dementia Patients Based on Symmetric Autoencoders and Spatio-Temporal Network. Symmetry 2026;18(7):1102 View
  5. Arco J, Alizadehsani R, Atzmueller M, Barakova E, Bloch L, Bologna G, Bonomini P, Cho S, Cortes J, Elazab A, Khan M, Domínguez E, Duro R, Fernández-Caballero A, Fernández-Jover E, Ferrández-Vicente J, Friedrich C, García-Rodríguez J, Garrigós J, Gómez-Rodellar A, Gómez-Vilda P, Graña M, Hernández A, Huang Y, Jiménez-Mesa C, Levin J, Liu N, Ma Q, Martínez-Murcia F, Martínez-Tomás R, Molina J, Nalepa G, Ortiz A, Palacios-Alonso D, Ponticorvo M, Pereira A, Ramírez J, Rincón M, Rodríguez-Rodríguez I, Su L, Suckling J, Val-Calvo M, Varona P, Vázquez-García C, Wang S, Zhang Y, Gorriz J. Advancing multimodal neuroimaging: Explainable and responsible AI for early dementia detection. NeuroImage 2026:122142 View

Conference Proceedings

  1. Molakalapalli G, Gupta A, Omara A, Kitchel B, Winkler A, Clark M, Doryab A. 2026 Systems and Information Engineering Design Symposium (SIEDS). The Aggression Pattern: Evaluating Signals from Wearable Devices for Agitation Detection View
  2. Yaddanapalli B, Zhang J, Williams T, Markanti R, Fu A, Fonzo I, Villalobos S, Wu D, Wang X, Tao C. 2026 IEEE 14th International Conference on Healthcare Informatics (ICHI). CARE: A Multi-Agent Framework for Real-Time Adaptive Vocal Interaction in Dementia Care View

Dissertations

  1. Kapustynska V. Research and application of machine learning methods for migraine attack prediction. View