A Heart Sound Identification System Built on Android-Based Electronic Stethoscope for Healthcare Development

Heart disease is a significant cause of death worldwide and the highest cause of death in Indonesia. With over 7000 islands, the geography of Indonesia presents substantial challenges in managing heart disease, particularly in remote and underdeveloped areas. Early detection is crucial in reducing mortality rates associated with heart disease. However, this process can be expensive and relies heavily on clinicians for accurate detection. Technological advancements have led to smartphones with increasingly sophisticated capabilities, supporting the development of mobile health applications for remote health monitoring. This study aims to develop an electronic stethoscope with a total hardware cost under a hundred rupiah that connects to an Android-based smartphone application for heart sound signal identification. The application provides a reliable validation method that reduces reliance on clinicians. Heart sound signal processing uses the fifth level of the Discrete Wavelet Transform method for noise reduction, using Daubechies 4 as the mother wavelet and the Linear Envelope method for heart sound identification. The instrument design incorporates a cost-effective stethoscope, setting it apart from other electronic stethoscopes on the market. The heart sound identification method was tested on 20 individuals, and it was found that the recorded heart signal data generated accurate identification results in 95.67% of total heart cycles.