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

Wearable Devices and Sensors (818)

Published on in Vol 6, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10046, first published .
Feasibility of Using a Smartwatch to Intensively Monitor Patients With Chronic Obstructive Pulmonary Disease: Prospective Cohort Study

Feasibility of Using a Smartwatch to Intensively Monitor Patients With Chronic Obstructive Pulmonary Disease: Prospective Cohort Study

Feasibility of Using a Smartwatch to Intensively Monitor Patients With Chronic Obstructive Pulmonary Disease: Prospective Cohort Study

Authors of this article:

Robert Wu1, 2 Author Orcid Image ;   Daniyal Liaqat3 Author Orcid Image ;   Eyal de Lara3 Author Orcid Image ;   Tatiana Son4 Author Orcid Image ;   Frank Rudzicz3, 4 Author Orcid Image ;   Hisham Alshaer4 Author Orcid Image ;   Pegah Abed-Esfahani3 Author Orcid Image ;   Andrea S Gershon2, 5, 6 Author Orcid Image
Article Authors Cited by (35) Tweetations (25) Metrics

Journals

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  10. Pegoraro J, Lavault S, Wattiez N, Similowski T, Gonzalez-Bermejo J, Birmelé E. Machine-learning based feature selection for a non-invasive breathing change detection. BioData Mining 2021;14(1) View
  11. Steen-Olsen E, Pappot H, Green A, Langberg H, Holländer-Mieritz C. Feasibility of Monitoring Patients Who Have Cancer With a Smart T-shirt: Protocol for the OncoSmartShirt Study. JMIR Research Protocols 2022;11(10):e37626 View
  12. Gautheron L, Rochat N, Cristia A. Managing, storing, and sharing long-form recordings and their annotations. Language Resources and Evaluation 2023;57(1):343 View
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  17. Lavechin M, de Seyssel M, Gautheron L, Dupoux E, Cristia A. Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings. Annual Review of Linguistics 2022;8(1):389 View
  18. Lee W, Schwartz N, Bansal A, Khor S, Hammarlund N, Basu A, Devine B. A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 1—Data From Wearable Devices. Value in Health 2023;26(2):292 View
  19. Wilde L, Sewell L, Percy C, Ward G, Clark C. What Are the Experiences of People with COPD Using Activity Monitors?: A Qualitative Scoping Review. COPD: Journal of Chronic Obstructive Pulmonary Disease 2022;19(1):88 View
  20. Bhalla S, Liaqat S, Wu R, Gershon A, de Lara E, Mariakakis A. PulmoListener. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  21. Coutu F, Iorio O, Ross B. Remote patient monitoring strategies and wearable technology in chronic obstructive pulmonary disease. Frontiers in Medicine 2023;10 View
  22. Arnaert A, Sumbly P, da Costa D, Liu Y, Debe Z, Charbonneau S. Acceptance of the Apple Watch Series 6 for Telemonitoring of Older Adults With Chronic Obstructive Pulmonary Disease: Qualitative Descriptive Study Part 1. JMIR Aging 2023;6:e41549 View
  23. Wilde L, Percy C, Ward G, Clark C, Wark P, Sewell L. The experiences of people with chronic obstructive pulmonary disease (COPD) using activity monitors in everyday life: an interpretative phenomenological study. Disability and Rehabilitation 2024:1 View
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  25. 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
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Books/Policy Documents

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