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.
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Identification Number or DOI: doi: 10.3233/978-1-61499-078-9-163
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|
|Fields of Research (FOR2008):||10 Technology > 1005 Communications Technologies > 100504 Data Communications|
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance)
08 Information and Computing Sciences > 0804 Data Format > 080403 Data Structures
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences|
|Deposited On:||25 Oct 2012 15:09|
|Last Modified:||26 Nov 2012 16:07|
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