Palendeng, Mario E. and Zhang, Qing and Pang, Chaoyi and Li, Yan (2012) EEG data compression to monitor DoA in telemedicine. In: HIC 2012: 20th Australian National Health Informatics Conference: Health Informatics: Building a Healthcare Future Through Trusted Information , 30 Jul-2 Aug 2012, Sydney, Australia.
Data compression techniques have been widely used to process and transmit huge amount of EEG data in real-time and remote EEG signal processing systems. In this paper we propose a lossy compression technique, F-shift, to compress EEG signals for remote depth of Anaesthesia (DoA) monitoring. Compared with traditional wavelet compression techniques, our method not only preserves valuable clinical information with high compression ratios, but also reduces high frequency noises in EEG signals. Moreover, our method has negligible compression overheads (less than 0.1 seconds), which can greatly benefit real-time EEG signal monitoring systems. Our extensive experiments demonstrate the efficiency and effectiveness of the proposed compression method.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Permanent restricted access to published version due to publisher copyright policy. c. 2012 The authors and IOS Press.|
|Uncontrolled Keywords:||EEG data compression; depth of anaesthesia; telemedicine|
|Depositing User:||Mr Mario Elvis Palendeng|
|Date Deposited:||25 Oct 2012 05:09|
|Last Modified:||03 Jul 2013 01:29|
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