Implementation of automatic external defibrillator using real time ventricular fibrillation detecting algorithm based on time domain analysis

• Published in: Computer assisted surgery (Abingdon, England) Vol. 22; no. sup1; pp. 86 - 92
• Main Authors: Seong, Ki Woong, Na, Sung Dae, Park, Young Sik, Park, Hee-Joon, Kim, Myoung Nam, Cho, Jin-Ho, Lee, Jyung Hyun
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 01.12.2017; Taylor & Francis Ltd
• Subjects: Algorithms; Arrhythmia; Arrhythmias, Cardiac - diagnostic imaging; Arrhythmias, Cardiac - therapy; automatic external defibrillator; Cardiac arrhythmia; Computer Simulation; Defibrillators; Electric Countershock - methods; Electrocardiography; Electrocardiography - methods; Humans; Signal Processing, Computer-Assisted; time delay method; ventricular fibrillation; Ventricular Fibrillation - diagnostic imaging; Ventricular Fibrillation - therapy; ventricular tachycardia; ventricular fibrillation; Arrhythmia; ventricular tachycardia; automatic external defibrillator; time delay method
• ISSN: 2469-9322; 2469-9322
• DOI: 10.1080/24699322.2017.1379224

The increase in mortality associated with arrhythmia is an inevitable problem of modern society such as westernized eating habits and an increase in stress due to industrialization, and the related social costs are increasing. In this regard, the supply of automatic external defibrillator (AED) used outside hospitals is increasing mainly in public institutions, and AED is a medical practice performed by non-medical personnel. Therefore, studies on arrhythmia detection algorithm to make accurate clinical judgment for proper use are increasing. In this paper, we propose a time domain analysis method to detect arrhythmia in real time and implement AED by porting it to programmable gate array and digital signal processor. The analysis of the phase domain improves the detection rate of R-peak using the differentiated electrocardiogram (ECG) waveform rather than the existing ECG waveform and makes it easy to distinguish the normal ECG from the arrhythmia signal in the phase domain. The proposed algorithm was verified by simulation using Labview and ModelSim, and it was verified that the proposed algorithm works effectively by performing animal experiments using the implemented AED.