Digital Transformation of CPR Mannequins in Medical Education with Artificial Intelligence Classifier

Authors : Melih İNAL, Uğur YILDIZ, Selçuk ÖĞÜTCÜ, Murat PEKDEMİR, Taner ÜNLÜER, Cantekin ÇELİKHASI, Erdem AYÜZ, Enes IŞIK

Pages : 81-88

View : 45 | Download : 11

Publication Date : 2021-12-30

Article Type : Research Paper

Abstract :Medical education, including the management of simulation centers, has become another important area in the Industry 4.0 phenomenon in terms of digital transformation. In this study, data obtained by messaging a mechanical CardioPulmonary Resuscitation insert ignore into journalissuearticles values(CPR); first aid training manikin with modularly developed electronic devices were collected. These data are also processed via the developed software that enables them to communicate with both mobile devices and desktop computers, and the integrity of the massage activities performed with the Artificial Intelligence insert ignore into journalissuearticles values(AI); algorithm is confirmed. The modular kit was developed in the Open Source Laboratory of the Department of Informatics insert ignore into journalissuearticles values(KOUOSL); with the support of the Dean`s office at the Kocaeli University Faculty of Medicine and the Department of Emergency Medicine. CPR massage is seen in the acceptable range if it is applied to the chest at 100-120 times per minute and applied at a depth of about 5-6 cm. In the study, feedback was given to the Observer Trainer on whether an ideal massage was performed by using an AI classifier that evaluates the data collected from the sensors placed on the mannequin to determine if the CPR is accurate and valid. Thus, a more effective practical training application will be developed and provided by digitizing the mechanical mannequin.
Keywords : CPR Manikin, ANN, Digital Transformation, Classifier, Medicine

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