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

Mobile Devices and Apps for Seniors and Healthy Aging (134) Dementia and Cognitive Decline (425) Aging in Place (229) Sensors at Home and Domotics (51) Mobile Health (mhealth) (2760) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788) Physical Activity for Older People (150)

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 (3) Tweetations (8) 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 View