PT - JOURNAL ARTICLE AU - Yasuhiro Setoguchi AU - Yasunari Miyazaki AU - Yoshiki Nakayama AU - Len Matsuyama AU - Mari Ando AU - Seiji Matsuba AU - Masaki Uchida TI - Development of image processing-based smartphone App (Application Software) for self-management of inhaled medicines for patients with asthma or COPD AID - 10.1183/13993003.congress-2020.3189 DP - 2020 Sep 07 TA - European Respiratory Journal PG - 3189 VI - 56 IP - suppl 64 4099 - http://erj.ersjournals.com/content/56/suppl_64/3189.short 4100 - http://erj.ersjournals.com/content/56/suppl_64/3189.full SO - Eur Respir J2020 Sep 07; 56 AB - Background: Inhaled medications are the cornerstone of the treatment of asthma and COPD. Effective use of inhalers requires patients to follow the prescribed inhalation technique. Errors in device use can result in suboptimal drug delivery, reducing the effective medication dose and thus compromising treatment effectiveness. Many common errors are universal, such as failing to exhale before each inhalation and failing to hold the breath following inhalation. Improving the inhalation skills of asthmatics and COPD patients requires carefully trained inhalation. However, it is not really possible for a doctor to make sure that the patient is successfully inhaling medicine at home.Aim: To circumvent inhaler mishandling, we attempted to develop a smartphone App that can judge one's own inhalation handling and learn inhalation maneuver.Method: This App was designed with a focus on image processing and deep learning techniques for analysing the movement of assisting respiratory muscles.Results: The major characteristics of this App are as follows: 1. The type of inhalation device is automatically classified. 2. The quality of inhalation skills are automatically judged. 3. Patients can learn the inhalation operation with streaming movies. 4. Doctors can track the usage status of patient's inhaler.Results: With use of this system, we demonstrated that the type of inhaler can be classfied 100% correctly and correct inhalation can be judged with an accuracy of more than 75%.Conclusion: This smartphone App enables patients to learn inhalation skills through feedback by oneself and could provide internet-based remote medicine for doctors.FootnotesCite this article as: European Respiratory Journal 2020; 56: Suppl. 64, 3189.This abstract was presented at the 2020 ERS International Congress, in session “Respiratory viruses in the "pre COVID-19" era”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).