Published on in Vol 8 , No 4 (2020) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15704, first published .
Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study

Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study

Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study

Journals

  1. Komarzynski S, Wreglesworth N, Griffiths D, Pecchia L, Subbe C, Hughes S, Davies E, Innominato P. Embracing Change: Learnings From Implementing Multidimensional Digital Remote Monitoring in Oncology Patients at a District General Hospital During the COVID-19 Pandemic. JCO Clinical Cancer Informatics 2021;(5):216 View
  2. Länsitie M, Niemelä M, Kangas M, Venojärvi M, Härkönen P, Keinänen‐Kiukaanniemi S, Korpelainen R. Physical activity profiles and glucose metabolism — A population‐based cross‐sectional study in older adults. Translational Sports Medicine 2021;4(4):439 View
  3. Bonci T, Keogh A, Del Din S, Scott K, Mazzà C. An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment. Sensors 2020;20(22):6509 View
  4. Laudanski K, Moon K, Singh A, Chen Y, Restrepo M. The Characterization of the Toll of Caring for Coronavirus Disease 2019 on ICU Nursing Staff. Critical Care Explorations 2021;3(4):e0380 View
  5. Restrepo M, Huffenberger A, Hanson C, Draugelis M, Laudanski K. Remote Monitoring of Critically-Ill Post-Surgical Patients: Lessons from a Biosensor Implementation Trial. Healthcare 2021;9(3):343 View
  6. Pham T. Time–frequency time–space LSTM for robust classification of physiological signals. Scientific Reports 2021;11(1) View
  7. Keogh A, Taraldsen K, Caulfield B, Vereijken B. It’s not about the capture, it’s about what we can learn”: a qualitative study of experts’ opinions and experiences regarding the use of wearable sensors to measure gait and physical activity. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  8. Länsitie M, Kangas M, Jokelainen J, Venojärvi M, Vaaramo E, Härkönen P, Keinänen-Kiukaanniemi S, Korpelainen R. Association between accelerometer-measured physical activity, glucose metabolism, and waist circumference in older adults. Diabetes Research and Clinical Practice 2021;178:108937 View
  9. Torku A, Chan A, Yung E, Seo J. Detecting stressful older adults-environment interactions to improve neighbourhood mobility: A multimodal physiological sensing, machine learning, and risk hotspot analysis-based approach. Building and Environment 2022;224:109533 View
  10. Chan L, Choi T, Lord S, Brodie M. Development and large-scale validation of the Watch Walk wrist-worn digital gait biomarkers. Scientific Reports 2022;12(1) View
  11. Domingos C, Costa P, Santos N, Pêgo J. Usability, Acceptability, and Satisfaction of a Wearable Activity Tracker in Older Adults: Observational Study in a Real-Life Context in Northern Portugal. Journal of Medical Internet Research 2022;24(1):e26652 View
  12. Bian C, Ye B, Mihailidis A. The Development and Concurrent Validity of a Multi-Sensor-Based Frailty Toolkit for In-Home Frailty Assessment. Sensors 2022;22(9):3532 View
  13. Li M, McPhillips M, Szanton S, Wenzel J, Li J, Xie B. Electronic Wearable Device Use for Physical Activity in Older Adults: A Qualitative Study. Work, Aging and Retirement 2022 View
  14. Popham S, Burq M, Rainaldi E, Shin S, Dunn J, Kapur R. An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study. JMIR Biomedical Engineering 2023;8:e43726 View
  15. Yen J, Lim J. A Clinical Perspective on Bespoke Sensing Mechanisms for Remote Monitoring and Rehabilitation of Neurological Diseases: Scoping Review. Sensors 2023;23(1):536 View
  16. Takahashi Y, Okura K, Minakata S, Watanabe M, Hatakeyama K, Chida S, Saito K, Matsunaga T, Shimada Y. Accuracy of Heart Rate and Respiratory Rate Measurements Using Two Types of Wearable Devices. Progress in Rehabilitation Medicine 2022;7(0):n/a View
  17. McGillion M, Allan K, Ross-Howe S, Jiang W, Graham M, Marcucci M, Johnson A, Scott T, Ouellette C, Kocetkov D, Lounsbury J, Bird M, Harsha P, Sanchez K, Harvey V, Vincent J, Borges F, Carroll S, Peter E, Patel A, Bergh S, Devereaux P. Beyond Wellness Monitoring: Continuous Multiparameter Remote Automated Monitoring of Patients. Canadian Journal of Cardiology 2022;38(2):267 View
  18. Keogh A, Argent R, Anderson A, Caulfield B, Johnston W. Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  19. Länsitie M, Kangas M, Jokelainen J, Venojärvi M, Timonen M, Keinänen-Kiukaanniemi S, Korpelainen R. Cardiovascular disease risk and all-cause mortality associated with accelerometer-measured physical activity and sedentary time ‒ a prospective population-based study in older adults. BMC Geriatrics 2022;22(1) View
  20. Keogh A, Alcock L, Brown P, Buckley E, Brozgol M, Gazit E, Hansen C, Scott K, Schwickert L, Becker C, Hausdorff J, Maetzler W, Rochester L, Sharrack B, Vogiatzis I, Yarnall A, Mazzà C, Caulfield B. Acceptability of wearable devices for measuring mobility remotely: Observations from the Mobilise-D technical validation study. DIGITAL HEALTH 2023;9:205520762211507 View
  21. Xiao J, Meyerowitz C, Ragusa P, Funkhouser K, Lischka T, Mendez Chagoya L, Al Jallad N, Wu T, Fiscella K, Ivie E, Strange M, Collins J, Kopycka-Kedzierawski D. Assessment of an Innovative Mobile Dentistry eHygiene Model Amid the COVID-19 Pandemic in the National Dental Practice–Based Research Network: Protocol for Design, Implementation, and Usability Testing. JMIR Research Protocols 2021;10(10):e32345 View
  22. Muñoz Esquivel K, Gillespie J, Kelly D, Condell J, Davies R, McHugh C, Duffy W, Nevala E, Alamäki A, Jalovaara J, Tedesco S, Barton J, Timmons S, Nordström A. Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study. JMIR Aging 2023;6:e36807 View
  23. Koutrintzes D, Spyrou E, Mathe E, Mylonas P. A Multimodal Fusion Approach for Human Activity Recognition. International Journal of Neural Systems 2023;33(01) View
  24. Ding E, CastañedaAvila M, Tran K, Mehawej J, Filippaios A, Paul T, Otabil E, Noorishirazi K, Han D, Saczynski J, Barton B, Mazor K, Chon K, McManus D. Usability of a smartwatch for atrial fibrillation detection in older adults after stroke. Cardiovascular Digital Health Journal 2022;3(3):126 View
  25. Ma Z, Gao Q, Yang M. Adoption of Wearable Devices by Older People: Changes in Use Behaviors and User Experiences. International Journal of Human–Computer Interaction 2023;39(5):964 View
  26. Van Velthoven M, Oke J, Kardos A. ChroniSense National Early Warning Score Study: Comparison Study of a Wearable Wrist Device to Measure Vital Signs in Patients Who Are Hospitalized. Journal of Medical Internet Research 2023;25:e40226 View
  27. Ollenschläger M, Kluge F, Müller-Schulz M, Püllen R, Möller C, Klucken J, Eskofier B. Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?. European Geriatric Medicine 2022;13(4):817 View
  28. Toh S, Gonzalez P, Fong K. Usability of a wearable device for home-based upper limb telerehabilitation in persons with stroke: A mixed-methods study. DIGITAL HEALTH 2023;9:205520762311537 View
  29. Andreoni G. Investigating and Measuring Usability in Wearable Systems: A Structured Methodology and Related Protocol. Applied Sciences 2023;13(6):3595 View
  30. Debelle H, Packer E, Beales E, Bailey H, Mc Ardle R, Brown P, Hunter H, Ciravegna F, Ireson N, Evers J, Niessen M, Shi J, Yarnall A, Rochester L, Alcock L, Del Din S. Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease. Frontiers in Neurology 2023;14 View
  31. Vernikos I, Spyropoulos T, Spyrou E, Mylonas P. Human Activity Recognition in the Presence of Occlusion. Sensors 2023;23(10):4899 View

Books/Policy Documents

  1. Corzani M. Internet of Things for Human-Centered Design. View
  2. Kostis I, Mathe E, Spyrou E, Mylonas P. Engineering Applications of Neural Networks. View