دورية أكاديمية

Research on electronic stethoscope system and signal processing algorithm

التفاصيل البيبلوغرافية
العنوان: Research on electronic stethoscope system and signal processing algorithm
المؤلفون: Li, Xiao, Shang, Yujing, Wei, Jiaqi, Zhou, Yiheng
المصدر: Journal of Physics: Conference Series ; volume 2634, issue 1, page 012037 ; ISSN 1742-6588 1742-6596
بيانات النشر: IOP Publishing
سنة النشر: 2023
الوصف: Stethoscopes have an important role in non-invasive diagnosis of cardiovascular and respiratory diseases, digestive diseases, and other kinds of diseases. The emergence of high-end diagnostic devices and new diagnostic methods have caused the status of the stethoscope to decline. However, stethoscope has the advantages of simple operation, mature auscultation theory and low cost, and thus is still widely used in medical diagnosis. This paper first introduces the design and application of electronic stethoscope solutions based on contact sensors and air coupling sensors, and then introduces advanced algorithms for digital signal processing for the diagnosis and treatment of different diseases, including heart sound noise reduction algorithm, heart sound segmentation algorithm and heart sound feature extraction and recognition algorithm. Finally, this paper summarizes the application of the electronic stethoscope system in medical testing, and its future development direction. In summary, the electronic stethoscope system is a reliable medical testing tool, which can convert sound signals into digital signals through complex signal processing algorithms for more accurate detection of human physiological parameters. The research of this paper will be of great value to the research and application of electronic stethoscopes.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1088/1742-6596/2634/1/012037
DOI: 10.1088/1742-6596/2634/1/012037/pdf
الإتاحة: https://doi.org/10.1088/1742-6596/2634/1/012037Test
حقوق: http://creativecommons.org/licenses/by/3.0Test/ ; https://iopscience.iop.org/info/page/text-and-data-miningTest
رقم الانضمام: edsbas.38B62746
قاعدة البيانات: BASE