Title :
Exploring high-frequency oscillation as a marker of brain ischemia using S-transform
Author :
Wu, Dan ; Bezerianos, Anastasios ; Zhang, Huaijian ; Jia, Xiaofeng ; Thakor, Nitish V.
Author_Institution :
Sch. of Med., Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
Brain injury, such as hypoxic-ischemia produced in brain after cardiac arrest, is known to alter somatosensory evoked potential (SSEP) signals, thus serving a diagnostic role. This study explores the high-frequency oscillation (HFO) in SSEP recorded in a rat model of asphyxial cardiac arrest. To best characterize this complex oscillatory activity, several time-frequency representation strategies are implemented and compared. The S-transform (ST) is found to precisely localize the HFO in temporal-spectral space. More, the ´phase ST´-the inter-trial coherence (ITC) sensitively detects the phase-locked activities in HFO. Using ST and ITC, we explored the evolution of HFO during early recovery from brain injury. A discrepancy between the amplitude of HFO, which increases over time, and its phase, which stays time-invariant, is revealed here. The recovery dynamics of HFO mirrors that of N10 in terms of their amplitudes, which suggests HFO as a prelude of large-scale cortical responses. In addition, statistics shows the amplitudes of HFOs have different levels (p<;;0.05) and recovery dynamics (p=0.03) between the good- and bad-outcome groups. We consider the HFO to be reflective of the health of thalamocotical circuitry in brain ischemia.
Keywords :
bioelectric potentials; brain; cardiology; medical signal detection; medical signal processing; somatosensory phenomena; time-frequency analysis; S-transform; asphyxial cardiac arrest; brain injury; brain ischemia; cortical response; high-frequency oscillation; intertrial coherence; phase-locked activity; somatosensory evoked potential signal; temporal-spectral space; thalamocotical circuitry; time-frequency representation; Cardiac arrest; Coherence; Continuous wavelet transforms; Medical diagnostic imaging; Oscillators; Time frequency analysis; Animals; Biological Markers; Brain Ischemia; Evoked Potentials, Somatosensory; Fourier Analysis; Heart Arrest; Male; Models, Statistical; Rats; Rats, Wistar; Signal Processing, Computer-Assisted; Time Factors; Wavelet Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627822