Implementation of ECG Arrhythmia Detection Algorithm for Ubiquitous Healthcare Application using Dynamic Time Warping Technique

Nowadays, the technological advances in sensors network, integrated circuit and wireless communication have enabled the design of lightweight and low-cost sensor nodes particularly for healthcare application. Ubiquitous sensor network give new possibilities for monitoring of human biomedical signal using wearable sensors node and allow patients the freedom to move around but still under continuously monitoring. In this paper, a new concept for wireless wearable belt-type ECG sensor node transmitting signal via an ultra low power consumption wireless data communications unit to personal computer using Zigbee-compatible wireless sensor node. The measured ECG signals carry a lot of clinical information for a cardiologist especially arrhythmia detection from ECG signals. DTW (dynamic time warping) method is applied on normal ECG and abnormal ECG to determine the arrhythmia detection. For evaluate performance analysis, arrhythmia detection algorithm using MIT-BIH databases is performed in this research.