A real time eeg data compression and transmission for remote patient monitoring system (idea patent)

摘要

Today there is a need for classes of efficient compression and transmission methodology, hardware and languages" for an application which deals great efforts in a short time. The requirement of neurologist is accurate, minute details, meaningful and timely information of EEG data. For this purpose the PMS should get the data which is more accurate, error free and support to the time. Hence there is a need for an efficient compression system and transmission media, which could play a vital role for PMS. The compression of Electroencephalographic (EEG) signal is of great interest to many in the biomedical community. The motivation for this research is the large amount of low amplitude data involved in collecting EEG information which requires storage space and high bandwidth for transmission. Efficient compression and transmission of the EEG signal is a difficult task due to the unpredictability in the signal and also signal is having very low amplitude. Thus with various relevant data compression and transmission for EEG signal could be the great research This invention introduces the idea of new compression techniques for Patient monitoring system between different health services for an EEG data. The proposed algorithms of compression methodologies consist of different constructive modules. The algorithms are applied on EEG database and different parameter metrics like compress ratio (CR), percent root mean square difference (PRD), percent root mean square difference normalized (PRDN), Signal to noise ratio (SNR) were obtained.