The heart is one of the most vital organs in the human body. According to data from the World Health Organization (WHO) in 2017, heart
disease is the trend of the deadliest disease that ranks first in the world and takes 17.9 million lives annually or about 31% of all mortality rates in the world. The case of sudden cardiac arrest is the most common trend of heart disease and the treatment is still not optimal. Defibrillation should be given as soon as possible after a person experiences sudden cardiac arrest (SCA), which is about 1-2 minutes after SCA. If there is no subsequent defibrillation, the survival rate will decrease by about 5.5% per minute. In general, CPR-precipitated defibrillation has an approximately 90% success rate in restoring cardiac rhythm to SCA victims if performed approximately 10 minutes after SCA. If CPR is not performed first, defibrillation still has a success rate of up to 90% if performed approximately 6 minutes after SCA. The AED has a feature to provide CPR and defibrillation instructions to the user so it is quite effective in rescuing SCA victims. However, this is still not practical because you have to rely on someone else to operate the AED. 2 Based on the conditions described previously, the authors initiated the innovation of JARFIST, a wearable defibrillator that is integrated with artificial neural networks as a form of prevention and management of sudden cardiac arrest (SCA) cases outside the hospital. JARFIST will provide shock voltage automatically in case of SCA. Furthermore, JARFIST can also send the user’s location to the nearest emergency service via SMS in real time for further handling so that SCA cases can still be handled quickly even though there is no one else who can help SCA victims. With this innovation, it is hoped that the death rate due to SCA can be reduced.
|Exhibition Team Member 1|
|Muh Khadafi Kasim|
|Exhibition Team Member 2|
|Nur Ma’rifatud Diniyah|