• 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