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

Mobile Devices and Apps for Seniors and Healthy Aging (214) Dementia and Cognitive Decline (586) Aging in Place (331) Sensors at Home and Domotics (68) Mobile Health (mhealth) (3151) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (916) Physical Activity for Older People (223)

Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28222, first published .
Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional Study

Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional Study

Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional Study

Authors of this article:

Vaisakh Puthusseryppady1, 2 Author Orcid Image ;   Sol Morrissey1 Author Orcid Image ;   Min Hane Aung3 Author Orcid Image ;   Gillian Coughlan4, 5 Author Orcid Image ;   Martyn Patel6 Author Orcid Image ;   Michael Hornberger1 Author Orcid Image
Article Authors Cited by (9) Tweetations (7) Metrics

Journals

  1. Ghosh A, Puthusseryppady V, Chan D, Mascolo C, Hornberger M. Machine learning detects altered spatial navigation features in outdoor behaviour of Alzheimer’s disease patients. Scientific Reports 2022;12(1) View
  2. Firouraghi N, Kiani B, Jafari H, Learnihan V, Salinas-Perez J, Raeesi A, Furst M, Salvador-Carulla L, Bagheri N. The role of geographic information system and global positioning system in dementia care and research: a scoping review. International Journal of Health Geographics 2022;21(1) View
  3. Dogan S, Barua P, Baygin M, Tuncer T, Tan R, Ciaccio E, Fujita H, Devi A, Acharya U. Lattice 123 pattern for automated Alzheimer’s detection using EEG signal. Cognitive Neurodynamics 2024;18(5):2503 View
  4. Sweeting A, Warncken K, Patel M. The Role of Assistive Technology in Enabling Older Adults to Achieve Independent Living: Past and Future. Journal of Medical Internet Research 2024;26:e58846 View
  5. Zhang Z, Wu L, Tao L, Hu S, Long H, Xu Y, Li J, Zhang J, Zhou Z, Liu J, Cai C, Zhang H, Liu D, Zeng Y, Luo W. Geospatial Applications in Alzheimer’s Disease Research and Beyond: A Systematic Review. Annals of the American Association of Geographers 2024;114(9):1911 View
  6. Biljman K, Gozes I, Lam J, Li V. An experimental framework for conjoint measures of olfaction, navigation, and motion as pre-clinical biomarkers of Alzheimer's disease. Journal of Alzheimer's Disease Reports 2024;8(1):1722 View
  7. Comai S, Masciadri A, Salice F. Classifying Alzheimer’s wandering and apathetic behaviours using indoor and outdoor localization data. Journal of Ambient Intelligence and Smart Environments 2025;17(2):123 View
  8. Hill P, Ekstrom A. A cognitive–motor framework for spatial navigation in aging and early-stage Alzheimer's disease. Cortex 2025;185:133 View
  9. Zhi N, Zhang Y, Cao W, Xiao J, Li J, Li H, Xie X, Ren R, Geng J, Wang G. Findings from a social media listening study on Chinese patients with Alzheimer's disease: a content analysis. General Psychiatry 2025;38(1):e101794 View