Development of an AI-based non-invasive Pulse AudioGram monitoring device for arrhythmia screening

Che Wei Lin, Yung Chang, Chou Ching K. Lin, Liang Miin Tsai, Ju Yi Chen

研究成果: Conference contribution

摘要

An artificial intelligence-based (AI-based) noninvasive Pulse AudioGram (PAG) monitoring device with arrhythmia screening algorithm has been developed in this research study. The PAG monitoring device consists of four components, including an audiogram sensor, an analog-digital converter, a microprocessor, and a data storage unit. The main function of the proposed AI-based non-invasive PAG is to measure the audio signal in radial artery generated by hemodynamics. Hemodynamics under arrhythmia and sinus rhythm (SR) conditions might exhibit different patterns as the heart rhythm becomes irregular under arrhythmia condition. PAG signals of SR and other arrhythmia symptoms such as atrial fibrillation (AF), aortic regurgitation (AR), and congestive heart failure (CHF) were collected during this research. In the experiment results, the proposed method can achieve accuracy of 99.29% when discriminating SR and AF; the proposed method can achieve accuracy of 98.92% when discriminating SR, AF, AR, and CHF. In this study, we have successfully developed an AI-based non-invasive PAG monitoring device for arrhythmia screening, and have plan to use it in on large-scale screening for arrhythmia in the near future.

原文English
主出版物標題2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面40-43
頁數4
ISBN(電子)9781538613924
DOIs
出版狀態Published - 2017 十二月 19
事件2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 - Bethesda, United States
持續時間: 2017 十一月 62017 十一月 8

出版系列

名字2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
2017-December

Other

Other2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
國家United States
城市Bethesda
期間17-11-0617-11-08

    指紋

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Instrumentation
  • Health(social science)
  • Biomedical Engineering

引用此

Lin, C. W., Chang, Y., Lin, C. C. K., Tsai, L. M., & Chen, J. Y. (2017). Development of an AI-based non-invasive Pulse AudioGram monitoring device for arrhythmia screening. 於 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 (頁 40-43). (2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017; 卷 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2017.8227579