Published on in Vol 7, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16605, first published .
A Cyber-Physical System for Near Real-Time Monitoring of At-Home Orthopedic Rehabilitation and Mobile–Based Provider-Patient Communications to Improve Adherence: Development and Formative Evaluation

A Cyber-Physical System for Near Real-Time Monitoring of At-Home Orthopedic Rehabilitation and Mobile–Based Provider-Patient Communications to Improve Adherence: Development and Formative Evaluation

A Cyber-Physical System for Near Real-Time Monitoring of At-Home Orthopedic Rehabilitation and Mobile–Based Provider-Patient Communications to Improve Adherence: Development and Formative Evaluation

Journals

  1. Dawes A, Lin A, Varghese C, Russell M. Mobile health technology for remote home monitoring after surgery: a meta-analysis. British Journal of Surgery 2021;108(11):1304 View
  2. Dasa V, Skrepnik N, Petersen D, Delanois R. A Novel Mobile App-based Neuromuscular Electrical Stimulation Therapy for the Management of Knee Osteoarthritis: Results From an Extension Study of a Randomized, Double-blind, Sham-controlled, Multicenter Trial. JAAOS: Global Research and Reviews 2022;6(9) View
  3. Cui X, Chung W, Venkatesan C. [Retracted] Interior Design of Aging Housing Based on Smart Home System of IOT Sensor. Journal of Sensors 2023;2023(1) View

Books/Policy Documents

  1. Andaluz-Montesdeoca F, Cevallos-Bermeo G, Salvador M, Villalba-Meneses F, Tirado-Espín A, Cadena-Morejón C, Vizcaíno-Imacaña P, Navas-Boada P, Almeida-Galárraga D. Smart Technologies, Systems and Applications. View

Conference Proceedings

  1. Franco T, Henriques P, Alves P, Pereira M, Sestrem L, Leitao P, Silva A. 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH). myHealth: a Mobile App for Home Muscle Rehabilitation View
  2. Moschella F, Del Giudice N, Loreti M, Vilhjálmson H. 2025 IEEE Conference on Serious Games and Applications for Health (SeGAH). Towards a Methodology for Using EEG Motor Imagery to Control Video Games View