COVID-19 and pediatric bronchial asthma Automatic wheezing detection device with artificial intelligence for telemedicine

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  • Habukawa Chizu
    Department of Pediatric Allergy, Minami Wakayama Medical Center Graduate School of Engineering Science, Osaka University

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  • COVID-19と小児気管支喘息
  • 遠隔医療のための人工知能を搭載した喘鳴自動判別機器

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Abstract

<p>The COVID-19 pandemic has had an enormous impact on the treatment of pediatric allergy, and has urgently necessitated the introduction of telemedicine. Direct auscultation by physician cannot be performed in telemedicine. Consequently, home medical equipment is required to detect a child's attack rapidly and accurately. However, no such equipment exists at present.</p><p>We have conducted lung sound analysis in patients with bronchial asthma since 2003 and have successfully developed an automatic home wheezing detector. The device is a portable machine that can record resting breathing for 30 sec via a microphone attached to the right precordia. When the machine is recording wheezing, the orange light is turned on. An algorithm based on the definition of wheezing is loaded into the device to distinguish voice, surrounding noise and heart sounds from wheezing, which precisely cancels out different kinds of noise. This algorithm has been validated in Japan, the United States and China and the results demonstrate automatic detection of wheezing.</p><p>In 2020, device approval was obtained in the United Kingdom and the 28 EU countries and it is currently being marketed there. The device is currently under application for approval in the United States and China, and in preparation for application to the PMDA in Japan. If the device can be applied in telemedicine, attacks in infants and adolescents that would otherwise be overlooked can be detected, hoping of contribute greatly to the improved long-term prognosis of asthmatics.</p>

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