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

Wearable Devices and Sensors (903) Human Factors and Usability Case Studies (809) Internet Access and Digital Technology Use in an Elderly Population (226) Physical Activity for Older People (188)

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

Authors of this article:

Alison Keogh1 Author Orcid Image ;   Jonas F Dorn2 Author Orcid Image ;   Lorcan Walsh3 Author Orcid Image ;   Francesc Calvo2 Author Orcid Image ;   Brian Caulfield1 Author Orcid Image
Article Authors Cited by (68) Tweetations (7) Metrics

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 2024;10(1):25 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 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 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
  32. Xiao J, Kopycka-Kedzierawski D, Ragusa P, Mendez Chagoya L, Funkhouser K, Lischka T, Wu T, Fiscella K, Kar K, Al Jallad N, Rashwan N, Ren J, Meyerowitz C. Acceptance and Usability of an Innovative mDentistry eHygiene Model Amid the COVID-19 Pandemic Within the US National Dental Practice-Based Research Network: Mixed Methods Study. JMIR Human Factors 2023;10:e45418 View
  33. Coutu F, Iorio O, Ross B. Remote patient monitoring strategies and wearable technology in chronic obstructive pulmonary disease. Frontiers in Medicine 2023;10 View
  34. Bassi E, Santomauro I, Basso I, Busca E, Maoret R, Dal Molin A. Wearable technology use in long-term care facilities for older adults: a scoping review protocol. JBI Evidence Synthesis 2024;22(2):325 View
  35. Vernikos I, Spyrou E, Kostis I, Mathe E, Mylonas P. A Deep Regression Approach for Human Activity Recognition Under Partial Occlusion. International Journal of Neural Systems 2023;33(09) View
  36. Al Abiad N, van Schooten K, Renaudin V, Delbaere K, Robert T. Association of Prospective Falls in Older People With Ubiquitous Step-Based Fall Risk Parameters Calculated From Ambulatory Inertial Signals: Secondary Data Analysis. JMIR Aging 2023;6:e49587 View
  37. Sandham M, Reed K, Cowperthwait L, Dawson A, Jarden R. Expensive Ornaments or Essential Technology? A Qualitative Metasynthesis to Identify Lessons From User Experiences of Wearable Devices and Smart Technology in Health Care. Mayo Clinic Proceedings: Digital Health 2023;1(3):311 View
  38. Ekerete I, Garcia-Constantino M, Nugent C, McCullagh P, McLaughlin J. Data Mining and Fusion Framework for In-Home Monitoring Applications. Sensors 2023;23(21):8661 View
  39. Taylor N, Carroll A, Gifford R. Five-day evaluation of the acceptability and comfort of wearable technology at four anatomical locations during military training. BMJ Military Health 2023:e002524 View
  40. D’Amore C, Saunders S, Bhatnagar N, Griffith L, Richardson J, Beauchamp M. Determinants of physical activity in community-dwelling older adults: an umbrella review. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  41. Mayer S, Kohn B, Fotteler M, Özkan S, Denkinger M. Funktionalität und Alltagstauglichkeit kommerziell erhältlicher Wristwear-Produkte für gebrechliche ältere Menschen. MMW - Fortschritte der Medizin 2023;165(S5):3 View
  42. Izmailova E, Wagner J, Bakker J, Kilian R, Ellis R, Ohri N. A proposed multi‐domain, digital model for capturing functional status and health‐related quality of life in oncology. Clinical and Translational Science 2024;17(1) View
  43. Iorio O, Coutu F, Malaeb D, Ross B. Feasibility, functionality, and user experience with wearable technologies for acute exacerbation monitoring in patients with severe COPD. Frontiers in Signal Processing 2024;4 View
  44. Ahuja A, Agrawal S, Acharya S, Batra N, Daiya V. Advancements in Wearable Digital Health Technology: A Review of Epilepsy Management. Cureus 2024 View
  45. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  46. Moulaei K, Moulaei R, Bahaadinbeigy K. The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review. DIGITAL HEALTH 2024;10 View
  47. Horder J, Mrotek L, Casadio M, Bassindale K, McGuire J, Scheidt R. Utility and usability of a wearable system and progressive-challenge cued exercise program for encouraging use of the more involved arm at-home after stroke—a feasibility study with case reports. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  48. Tandon A, Avari Silva J, Bhatt A, Drummond C, Hill A, Paluch A, Waits S, Zablah J, Harris K. Advancing Wearable Biosensors for Congenital Heart Disease: Patient and Clinician Perspectives: A Science Advisory From the American Heart Association. Circulation 2024;149(19) View
  49. Keogh A, Argent R, Doherty C, Duignan C, Fennelly O, Purcell C, Johnston W, Caulfield B. Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology—Lessons Learned from 10 Years of Research. Sensors 2024;24(12):3780 View
  50. de Looff P, Noordzij M, Nijman H, Goedhard L, Bogaerts S, Didden R. Putting the usability of wearable technology in forensic psychiatry to the test: a randomized crossover trial. Frontiers in Psychiatry 2024;15 View
  51. Lu J, Wang W, Goh J, Maier A. A practical guide for selecting continuous monitoring wearable devices for community-dwelling adults. Heliyon 2024;10(13):e33488 View
  52. Janssen Daalen J, van den Bergh R, Prins E, Moghadam M, van den Heuvel R, Veen J, Mathur S, Meijerink H, Mirelman A, Darweesh S, Evers L, Bloem B. Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art. npj Digital Medicine 2024;7(1) View
  53. Houghton R, Martinetti A, Majumdar A. A Framework for Selecting and Assessing Wearable Sensors Deployed in Safety Critical Scenarios. Sensors 2024;24(14):4589 View
  54. Shah A, Saigal A, Althobiani M, Hurst J, Mandal S. The acceptability of wearable technology for long-term respiratory disease: A cross-sectional survey. Heliyon 2024;10(16):e35474 View
  55. Amjad A, Qaiser S, Błaszczyszyn M, Szczęsna A. The evolution of frailty assessment using inertial measurement sensor‐based gait parameter measurements: A detailed analysis. WIREs Data Mining and Knowledge Discovery 2024;14(6) View
  56. Ma Z, Gao Q, Yang M. Making sense of health data of wearables: designing information displays for older wearable users. Universal Access in the Information Society 2024 View
  57. Chowdhury T, Gratz-Kelly S, Wagner E, Motzki P, Lehser M. Ensemble Learning Approach for Advanced Predictive Modeling of Biometric Data and Action States With Smart Sensing. IEEE Access 2024;12:139998 View
  58. Moon S, Schlenk E, Kraemer K, Lee H. A brief report: Lessons learned using wearable technology to collect data from adults receiving medications for opioid use disorder. Journal of Substance Use 2024:1 View
  59. Tandon A, Cobb B, Centra J, Izmailova E, Manyakov N, McClenahan S, Patel S, Sezgin E, Vairavan S, Vrijens B, Bakker J. Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review. Journal of Medical Internet Research 2024;26:e57628 View
  60. Wong A, Bayuo J, Su J, Wong F, Chow K, Wong B, Wong S, Hui V. Effectiveness of the Support From Community Health Workers and Health Care Professionals on the Sustained Use of Wearable Monitoring Devices Among Community-Dwelling Older Adults: Feasibility Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e52435 View
  61. Abdulsadig R, Devani N, Singh S, Patel Z, Pramono R, Mandal S, Rodriguez-Villegas E. Clinical Validation of Respiratory Rate Estimation Using Acoustic Signals from a Wearable Device. Journal of Clinical Medicine 2024;13(23):7199 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
  3. Wall C, McMeekin P, Walker R, Godfrey A. International Encyclopedia of Public Health. View