title: Multiscale electrophysiology format: an open-source electrophysiology format using data compression, encryption, and cyclic redundancy check.
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.
authors: The Mayo Systems Electrophysiology Lab, Rochester, MN 55905, USA. brinkmann.benjamin@mayo.edu
authors: Benjamin H
authors: BH
authors: Brinkmann
authors: Mark R
authors: MR
authors: Bower
authors: Keith A
authors: KA
authors: Stengel
authors: Gregory A
authors: GA
authors: Worrell
authors: Matt
authors: M
authors: Stead
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000706:statistics & numerical data; D016494:Computer Security; D003219:Confidentiality; D044962:Data Compression; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000706:statistics & numerical data*; D055724:Electrophysiological Phenomena; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology; D006801:Humans; D008991:Monitoring, Physiologic / Q000706:statistics & numerical data*; D012815:Signal Processing, Computer-Assisted; D012984:Software