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

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 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
  15. Bocian I, Chin A, Rodriguez A, Collins W, Sindher S, Chinthrajah R. Asthma management in the digital age. Frontiers in Allergy 2024;5 View
  16. Roh K, Awosika A, Millis R. Advances in Wearable Stethoscope Technology: Opportunities for the Early Detection and Prevention of Cardiovascular Diseases. Cureus 2024 View

Books/Policy Documents

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