Published on in Vol 8, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14245, first published .
Real-Time Detection of Behavioral Anomalies of Older People Using Artificial Intelligence (The 3-PEGASE Study): Protocol for a Real-Life Prospective Trial

Real-Time Detection of Behavioral Anomalies of Older People Using Artificial Intelligence (The 3-PEGASE Study): Protocol for a Real-Life Prospective Trial

Real-Time Detection of Behavioral Anomalies of Older People Using Artificial Intelligence (The 3-PEGASE Study): Protocol for a Real-Life Prospective Trial

Journals

  1. Zulfiqar A, Vaudelle O, Hajjam M, Geny B, Talha S, Letourneau D, Hajjam J, Erve S, Hajjam El Hassani A, Andrès E. Results of the “GER-e-TEC” Experiment Involving the Use of an Automated Platform to Detect the Exacerbation of Geriatric Syndromes. Journal of Clinical Medicine 2020;9(12):3836 View
  2. Macaron T, Angioni D, Vellas B, Oliveira Soares C. L’outil numérique au service de la prévention de la dépendance des sujets âgés. Soins Gérontologie 2021;26(148):20 View
  3. Naccarelli R, Casaccia S, Pirozzi M, Revel G. Using a Smart Living Environment Simulation Tool and Machine Learning to Optimize the Home Sensor Network Configuration for Measuring the Activities of Daily Living of Older People. Buildings 2022;12(12):2213 View
  4. Khalek F, Hartley M, Benoit E, Perrin S, Marechal L, Barthod C. A low-cost machine learning process for gait measurement using biomechanical sensors. Measurement: Sensors 2021;18:100346 View
  5. Arioz U, Smrke U, Plohl N, Špes T, Musil B, Mlakar I. Scoping Review of Technological Solutions for Community Dwelling Older Adults and Implications for Instrumental Activities of Daily Living. Aging and disease 2024:0 View

Books/Policy Documents

  1. Khaemba N, Traoré I, Mamun M. Artificial Intelligence for Cyber-Physical Systems Hardening. View
  2. Zulfiqar A, Hajjam M, Hajjam A, Andres E. Digital Health. View