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

Wearable Devices and Sensors (818) mHealth for Data Collection and Research (914) mHealth for Diagnosis (50) mHealth for Telemedicine and Homecare (364) mHealth in a Clinical Setting (581)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23109, first published .
The Utility of Real-Time Remote Auscultation Using a Bluetooth-Connected Electronic Stethoscope: Open-Label Randomized Controlled Pilot Trial

The Utility of Real-Time Remote Auscultation Using a Bluetooth-Connected Electronic Stethoscope: Open-Label Randomized Controlled Pilot Trial

The Utility of Real-Time Remote Auscultation Using a Bluetooth-Connected Electronic Stethoscope: Open-Label Randomized Controlled Pilot Trial

Authors of this article:

Takanobu Hirosawa1 Author Orcid Image ;   Yukinori Harada1 Author Orcid Image ;   Kohei Ikenoya2 Author Orcid Image ;   Shintaro Kakimoto1 Author Orcid Image ;   Yuki Aizawa1 Author Orcid Image ;   Taro Shimizu1 Author Orcid Image
Article Authors Cited by (17) Tweetations (4) Metrics

Journals

  1. Ruan X, Huang H. Pulmonary Image Recognition and Respiratory Feature Analysis Under Neural Network and Genetic Algorithm. Journal of Nanoelectronics and Optoelectronics 2022;17(11):1501 View
  2. Ito T, Hirosawa T, Harada Y, Kakimoto S, Shimizu T. Evaluation of Internet-Connected Real-Time Remote Auscultation: An Open-Label Randomized Controlled Pilot Trial. Journal of Personalized Medicine 2022;12(12):1950 View
  3. Lane J, David K, Ramarao J, Ward K, Raghuraman S, Waheed M, Lau A. Translating primary care to telehealth: analysis of in-person consultations on diabetes and cardiovascular disease. BJGP Open 2023;7(1):BJGPO.2022.0123 View
  4. Fan M, Wang Q, Liu J, Su L, Wang B, Xu H, Li Q, Zhang Z. Real-world evaluation of the Stemoscope electronic tele-auscultation system. BioMedical Engineering OnLine 2022;21(1) View
  5. Lopes D, Coelho L, Silva M. Development of a Collaborative Robotic Platform for Autonomous Auscultation. Applied Sciences 2023;13(3):1604 View
  6. Hirosawa T, Ito T, Harada Y, Ikenoya K, Yokose M, Shimizu T. The utility of phonocardiograms in real-time remote cardiac auscultation using an internet-connected electronic stethoscope: Open-label randomized controlled pilot trial. DIGITAL HEALTH 2023;9:205520762311619 View
  7. Huang D, Huang J, Qiao K, Zhong N, Lu H, Wang W. Deep learning-based lung sound analysis for intelligent stethoscope. Military Medical Research 2023;10(1) View
  8. Ang Y, Aw L, Koh V, Tan R. Characterization and cross-comparison of digital stethoscopes for telehealth remote patient auscultation. Medicine in Novel Technology and Devices 2023;19:100256 View
  9. Takeda K, Kasai H, Hayama N, Saito M, Kawame C, Maruyama K, Suzuki T. Wireless electronic stethoscope's potential for medical education in ward round examination. Respirology 2023;28(10):969 View
  10. Ogawa S, Namino F, Mori T, Sato G, Yamakawa T, Saito S. AI diagnosis of heart sounds differentiated with super StethoScope. Journal of Cardiology 2024;83(4):265 View
  11. Nguyen S, Duong H, Tran H, Nguyen N, Rai R, Pham A. Emergence of telemedicine during COVID-19 pandemic: drawing upon an underrated modality in Vietnam. MedPharmRes 2022;6(3):17 View
  12. Hirosawa T, Sakamoto T, Harada Y, Tokumasu K, Shimizu T. Clinical decision support system using a machine learning model to assist simultaneous cardiopulmonary auscultation: Open-label randomized controlled trial. DIGITAL HEALTH 2024;10 View
  13. Sabry A, I. Dallal Bashi O, Nik Ali N, Mahmood Al Kubaisi Y. Lung disease recognition methods using audio-based analysis with machine learning. Heliyon 2024;10(4):e26218 View
  14. NV S. Optimizing ventilatory support in ARDS: A comprehensive guide for ICU nurses on patient care. IP International Journal of Medical Paediatrics and Oncology 2024;10(1):3 View

Books/Policy Documents

  1. Niwa M, Hara Y. Mobile Health (mHealth). View