Application of convolutional neural network classifier for wireless arrhythmia detection

3rd Padjadjaran International Physics Symposium - IOP Conf. Series: Journal of Physics: Conf. Series 1080 (2018) 012048

Jum'at, 21 September 2018 18:07 | Sudah dibaca 13 kali

The heart as the main system of blood circulation in our body can certainly experience abnormalities called arrhythmia. Information of the arrhythmia is very important in the field of health and electrocardiogram is one of the most commonly used tool to detect the heart abnormalities. A wireless monitoring of the heart activities has been developed. An application of convolutional neural network classifier for arrhythmia detection is proposed. Twenty four health subjects were tested in the three experiment methods. The classification accuracy about average 93,97% is obtained.

Kata Kunci: Convolutional Neural Network, Arrhythmia detection, Wireless Monitoring