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

Theme Issue: Medical Informatics and COVID-19 (104) JMIR Theme Issue: COVID-19 Special Issue (2394) New Methods (911) Design and Usability of Medical Devices (86)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22753, first published .
A Low-Cost, Ear-Contactless Electronic Stethoscope Powered by Raspberry Pi for Auscultation of Patients With COVID-19: Prototype Development and Feasibility Study

A Low-Cost, Ear-Contactless Electronic Stethoscope Powered by Raspberry Pi for Auscultation of Patients With COVID-19: Prototype Development and Feasibility Study

A Low-Cost, Ear-Contactless Electronic Stethoscope Powered by Raspberry Pi for Auscultation of Patients With COVID-19: Prototype Development and Feasibility Study

Authors of this article:

Chuan Yang1 Author Orcid Image ;   Wei Zhang2 Author Orcid Image ;   Zhixuan Pang3 Author Orcid Image ;   Jing Zhang4 Author Orcid Image ;   Deling Zou1 Author Orcid Image ;   Xinzhong Zhang1 Author Orcid Image ;   Sicong Guo1 Author Orcid Image ;   Jiye Wan1 Author Orcid Image ;   Ke Wang5 Author Orcid Image ;   Wenyue Pang1 Author Orcid Image
Article Authors Cited by (10) Tweetations (33) Metrics

Journals

  1. Ahuja V, Kini P, Nileshwar A. Evaluation of the electronic stethoscope (FONODOC) as a cardiac screening tool during the preoperative evaluation of children. Indian Journal of Anaesthesia 2022;66(9):625 View
  2. Dramburg S, Dellbrügger E, van Aalderen W, Matricardi P. The impact of a digital wheeze detector on parental disease management of pre-school children suffering from wheezing—a pilot study. Pilot and Feasibility Studies 2021;7(1) View
  3. Zhu J, Jiang C, Huang B, Hu J, Fang S, Huang K, Gao Y, Yu J. Cylindrical Tube Stethoscopes: The Value of Practical Equipment in the Management of Patients with Infectious Diseases. Infection and Drug Resistance 2022;Volume 15:3611 View
  4. Gavrishev A, Gavrisheva N. New Technological Approaches to the Organization of the Work of Medical Personnel Performing Auscultation of Patients with COVID-19. Biomedical Engineering 2022;56(3):211 View
  5. Yeung A, Kulnik S, Parvanov E, Fassl A, Eibensteiner F, Völkl-Kernstock S, Kletecka-Pulker M, Crutzen R, Gutenberg J, Höppchen I, Niebauer J, Smeddinck J, Willschke H, Atanasov A. Research on Digital Technology Use in Cardiology: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(5):e36086 View
  6. Kasim N, Bachner-Hinenzon N, Brikman S, Cheshin O, Adler D, Dori G. A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital. Biomedical Signal Processing and Control 2022;78:103920 View
  7. Lapteva E, Kharevich O, Khatsko V, Voronova N, Chamko M, Bezruchko I, Katibnikova E, Loban E, Mouawie M, Binetskaya H, Aleshkevich S, Karankevich A, Dubinetski V, Vestbo J, Mathioudakis A. Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19. European Respiratory Journal 2021;58(6):2101907 View
  8. Chen J, Guo Z, Xu X, Jeon G, Camacho D. Artificial intelligence for heart sound classification: A review. Expert Systems 2024 View