A Real Time Biomedical Data Compression and Transmission for Remote Patient Monitoring System

This paper presents a real-time biomedical data compression and transmission for remote patient monitoring system. This algorithm contains five compression and four decompression procedures. For evaluating the performance of the algorithm, EEG signal taken from MIT-BIH arrhythmia database, and compress and transmit signal and checking it’s performances using evaluation parameters, compress ratio, percent root mean square difference normalized, signal noise ratio, and quality score. Result of the evaluation parameter gets better at 15% window size with high compression ratio 18.36 and percent root mean square difference 2.25. Performance of this algorithm was found better than the similar algorithms introduced recently, and having better compression ratio than other proposed algorithm. This algorithm showed superior performance in all data instances where compression ratio is lower or equal to 15:1 but it shows slightly inferior PRD performance where compression ratio is greater than 15:1. Similarity with the original data becomes meaningless when the PRD is higher than 2, this proposed algorithm shows significantly better performance compared to the performance l of the other algorithms. Moreover, because the algorithm can compress and transmit data in real time. So, it can be served as a biosignal data transmission method for limited bandwidth communication for remote patient monitoring system.