en 4-Biomedical Signal & Image Processing Biomedical Signal & Image Processing Only For Articles of ELECRiS 2024 Only For Articles of ELECRiS 2024 <span style="font-size:10pt"><span new="" roman="" style="font-family:" times="">Digital stethoscopes represent a significant advancement in medical diagnostics, addressing the limitations of traditional auscultation methods, which often suffer from diagnostic delays and inefficient workflows. This digital stethoscope facilitates real-time diagnosis through machine learning and remote monitoring, utilizing the ESP32&rsquo;s ADC and Wi-Fi capabilities to wirelessly send audio data to a remote server for comprehensive analysis. By integrating modern technologies such as the ESP32 microcontroller and the MAX9814 microphone module, these devices capture and transmit high-fidelity respiratory sounds, overcoming the challenges of imprecision and time lag in conventional methods. Initial tests have demonstrated the device&#39;s ability to capture clear respiratory sounds, underscoring its potential for effective remote health monitoring and telemedicine. These improvements aim to enhance diagnostic accuracy, facilitate early diagnosis, and ultimately improve patient outcomes, showcasing the significant potential of digital stethoscopes to transform respiratory diagnostics and patient care, particularly in remote and telemedicine settings. In this research, a prototype of a digital stethoscope for respiratory diagnostics was developed and evaluated. The obtained results from the prototype measurements demonstrated that the proposed system could be a solid starting point for the actual implementation of an advanced respiratory monitoring system.</span></span> Digital stethoscope, Respiratory diagnostics, Remote health monitoring 182 192 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5523-1&slc_lang=en&sid=1 JULIE ROSLITA RUSLI julie@unikl.edu.my 1800319475328460016527 1800319475328460016527 Yes Department of Electronics Technology, British Malaysian Institute Campus, Universiti Kuala Lumpur, Gombak, Selangor. Muhamad Syahirin Danial Noor Shahrin syahirir.shahrin@s.unikl.edu.my 1800319475328460016528 1800319475328460016528 No Department of Electronics Technology, British Malaysian Institute Campus, Universiti Kuala Lumpur, Gombak, Selangor. Nurul Izzati Binti Che Abdu Patah izzati.abduulie@s.unikl.edu.my 1800319475328460016529 1800319475328460016529 No Department of Electronics Technology, British Malaysian Institute Campus, Universiti Kuala Lumpur, Gombak, Selangor. Izanoordina Ahmad izanoordina@unikl.edu.my 1800319475328460016530 1800319475328460016530 No Department of Electronics Technology, British Malaysian Institute Campus, Universiti Kuala Lumpur, Gombak, Selangor. Siti Marwangi Mohamad Maharum sitimarwangi@unikl.edu.my 1800319475328460016531 1800319475328460016531 No Department of Electronics Technology, British Malaysian Institute Campus, Universiti Kuala Lumpur, Gombak, Selangor. Sairul Izwan Safie sairulizwan@unikl.edu.my 1800319475328460016532 1800319475328460016532 No Department of Plan Engineering Technology, Malaysia Institute of Industrial Technology, Universiti Kuala Lumpur, Johor Baharu, Johor, Malaysia.