DocumentCode
2381718
Title
Multiscale electrophysiology format: An open-source electrophysiology format using data compression, encryption, and cyclic redundancy check
Author
Brinkmann, Benjamin H. ; Bower, Mark R. ; Stengel, Keith A. ; Worrell, Gregory A. ; Stead, Matt
Author_Institution
Mayo Syst. Electrophysiology Lab., Rochester, MN, USA
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
7083
Lastpage
7086
Abstract
Continuous, long-term (up to 10 days) electrophysiological monitoring using hybrid intracranial electrodes is an emerging tool for presurgical epilepsy evaluation and fundamental investigations of seizure generation. Detection of high-frequency oscillations and microseizures could provide valuable insights into causes and therapies for the treatment of epilepsy, but requires high spatial and temporal resolution. Our group is currently using hybrid arrays composed of up to 320 micro- and clinical macroelectrode arrays sampled at 32 kHz per channel with 18-bits of A/D resolution. Such recordings produce approximately 3 terabytes of data per day. Existing file formats have limited data compression capabilities, and do not offer mechanisms for protecting patient identifying information or detecting data corruption during transmission or storage. We present a novel file format that employs range encoding to provide a high degree of data compression, a three-tiered 128-bit encryption system for patient information and data security, and a 32-bit cyclic redundancy check to verify the integrity of compressed data blocks. Open-source software to read, write, and process these files are provided.
Keywords
cryptography; cyclic redundancy check codes; data compression; electroencephalography; encoding; medical information systems; medical signal processing; public domain software; cyclic redundancy check; data compression; data security; electrophysiological monitoring; encryption; high-frequency oscillation detection; hybrid intracranial electrodes; macroelectrode arrays; microseizure detection; multiscale electrophysiology format; open-source electrophysiology format; presurgical epilepsy evaluation; seizure generation; Algorithms; Brain Mapping; Computer Security; Confidentiality; Data Compression; Electrodes, Implanted; Electroencephalography; Electrophysiological Phenomena; Epilepsy; Humans; Monitoring, Physiologic; Signal Processing, Computer-Assisted; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5332915
Filename
5332915
Link To Document