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

Development of Novel Medical Devices and Innovations for Existing Devices (89) Wearable Devices and Sensors (1001) User Needs and Competencies (377) Requirements Engineering (5)

Published on in Vol 2, No 1 (2017): Jan-Dec

Motivations and Key Features for a Wearable Device for Continuous Monitoring of Breathing: A Web-Based Survey

Motivations and Key Features for a Wearable Device for Continuous Monitoring of Breathing: A Web-Based Survey

Motivations and Key Features for a Wearable Device for Continuous Monitoring of Breathing: A Web-Based Survey

Authors of this article:

Joseph Barry Prinable1, 2 Author Orcid Image ;   Juliet M Foster2 Author Orcid Image ;   Alistair L McEwan1 Author Orcid Image ;   Paul M Young2 Author Orcid Image ;   Euan Tovey2 Author Orcid Image ;   Cindy Thamrin2 Author Orcid Image
Article Authors Cited by (16) Tweetations (9) Metrics

Journals

  1. Alves T, Souza J, Amaral V, Rios A, Costa T, Crescencio K, Batain F, Grotto D, Lima R, Filho L, Junior J, Severino P, Aranha N, Chaud M. Dense lamellar scaffold, biomimetically inspired, for reverse cardiac remodeling: Effect of proanthocyanidins and glutaraldehyde. Journal of Dispersion Science and Technology 2021;42(2):248 View
  2. Prinable J, Jones P, Boland D, Thamrin C, McEwan A. Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology. JMIR mHealth and uHealth 2020;8(7):e13737 View
  3. Biersteker T, Boogers M, de Lind van Wijngaarden R, Groenwold R, Trines S, van Alem A, Kirchhof C, van Hof N, Klautz R, Schalij M, Treskes R. Use of Smart Technology for the Early Diagnosis of Complications After Cardiac Surgery: The Box 2.0 Study Protocol. JMIR Research Protocols 2020;9(4):e16326 View
  4. Prinable J, Jones P, Boland D, McEwan A, Thamrin C. Derivation of Respiratory Metrics in Health and Asthma. Sensors 2020;20(24):7134 View
  5. Srizongkhram S, Chiadamrong N, Shirahada K. Critical Success Factors in Adoption of Wearable Technology Devices for Seniors in Thailand. International Journal of Innovation and Technology Management 2021;18(04) View
  6. Charlton P, Pilt K, Kyriacou P. Establishing best practices in photoplethysmography signal acquisition and processing. Physiological Measurement 2022;43(5):050301 View
  7. Charlton P, Kyriacou P, Mant J, Marozas V, Chowienczyk P, Alastruey J. Wearable Photoplethysmography for Cardiovascular Monitoring. Proceedings of the IEEE 2022;110(3):355 View
  8. Goda M, Charlton P, Behar J. pyPPG: a Python toolbox for comprehensive photoplethysmography signal analysis. Physiological Measurement 2024;45(4):045001 View
  9. 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
  10. Fobelets K, Mohanty N, Thielemans M, Thielemans L, Lake-Thompson G, Liu M, Jopling K, Yang K. User Perceptions of Wearability of Knitted Sensor Garments for Long-Term Monitoring of Breathing Health: Thematic Analysis of Focus Groups and a Questionnaire Survey. JMIR Biomedical Engineering 2024;9:e58166 View
  11. Nyamukuru M, Ashare A, Odame K. Inferring forced expiratory volume in 1 second (FEV1) from mobile ECG signals collected during quiet breathing. Physiological Measurement 2025;46(3):035006 View

Books/Policy Documents

  1. Azar A, Hassan H, Razali M, de Brito Silva G, Ali H. Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. View
  2. Charlton P, Marozas V. Photoplethysmography. View

Conference Proceedings

  1. Moraveji N, Golz P, Hollenbach J, Holt M, Murray R. 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA). Long-term, Ambulatory Respiratory Monitoring of COPD Patients using Garment-Adhered Sensors View
  2. Prinable J, Jones P, Thamrin C, McEwan A. 2017 IEEE Life Sciences Conference (LSC). Using a recurrent neural network to derive tidal volume from a photoplethsmograph View
  3. Srizongkhram S, Shirahada K, Chiadamrong N. 2018 Portland International Conference on Management of Engineering and Technology (PICMET). Critical Factors for Adoption of Wearable Technology for the Elderly: Case Study of Thailand View