Real-time brain monitoring system

Surgery – Diagnostic testing – Detecting brain electric signal

Reexamination Certificate

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Reexamination Certificate

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07433732

ABSTRACT:
An exemplary method for monitoring neonate brain function includes processing electroencephalographic data of the neonate to calculate at least one measure, the at least one measure including a non-linear measure, comparing the calculated at least one measure against at least one baseline threshold, wherein the at least one baseline threshold corresponds to a neonate age range, and outputting a result of the comparison. An exemplary system for monitoring neonate brain function includes a computing device for processing electroencephalographic data of the neonate to calculate at least one measure, the at least one measure including a non-linear measure, and for comparing the calculated at least one measure against at least one baseline threshold, wherein the at least one baseline threshold corresponds to a neonate age range, and a display for displaying a result of the comparison.

REFERENCES:
patent: 5458117 (1995-10-01), Chamoun et al.
patent: 5769793 (1998-06-01), Pincus et al.
patent: 6304775 (2001-10-01), Iasemidis et al.
patent: 6931274 (2005-08-01), Williams
patent: 2002/0103512 (2002-08-01), Echauz et al.
patent: 2003/0013981 (2003-01-01), Gevins et al.
patent: 2004/0122335 (2004-06-01), Sackellares et al.
patent: 2004/0127810 (2004-07-01), Sackellares et al.
Albano AM, Bedonie C, Cellucci CJ, Miller V, Ree J, Torrueia A, Harner RN, Rapp PE. Spatiotemporal EEG Information transfer in an episode of epilepsy. In:Nonlinear Dynamics and Brain Functioning. Eds: Pradhan J, Sreeivansan R, Rapp PE. Nova Science Pub: NY, 1999.
Andre M. Matisse N, Vert P., Debruille C. Neonatal seizures: recent aspects. Neuropediatrics. 19:201-207, 1988.
Bye Ame and Flanagan D. Spatial and temporal characteristics of neonatal seizures. Epilepsia, 36(10):1009-1016, 1995.
Bye Ame, Cunningham CA, Chee KY, Flanagan D. Outcome of neonates with electrographically identified seizures, or at risk of seizures. Pediatr neurol. 16:225-231, 1997.
Bullock TH McClune MC, Achimowicz JZ, Iragui-Madoz VJ, Duckrow RB, Spencer SS. EEG coherence has structure in the millimeter domain: Subdural and hippocampal recordings from epileptic patients. Electroencephalo Clin Neurophysio, 95:161-177, 1995.
Celka P, Boashash B, Colditz, P. Brain storming; digital processing of EEG signals improves classification, prediction, and monitoring, Eds: Colditz PB, Burke CJ, Celka P., IEEE Engineering in Medicine and Biology., 20 (5); 2001.
Clancy R. Interictal sharp EEG transients in neonatal seizures. J. Child Neurol., 4:30-38, 1989.
Clancy RR and Legido A. The exact ictal and interictal duration of electroencephalographic neonatal seizures. Epilepsia, 28:537-541, 1987b.
Clancy RR and Legido A. Postnatal epilepsy after EEG-confirmed neonatal seizures, Epilepsia, 32:69-76, 1991.
Collins RC, Olney JW, Lothman EW. Metabolic and pathological consequences of focal seizures. In: Epilepsy. Eds: Ward AA, Penry JK, Purpura D. 1983.
Dreyfus-Brisac C, Monod N. Electroclinical studies of status epilepticus and convulsions in the newborn. In: Neurological and Electroencephalographic Correlative Studies in Infancy. Eds: Kellaway P, Petersen I, New York: Grune and Statton; 250-272, 1964.
Duckrow RB and Spencer SS. Regional coherence and the transfer of ictal activity during seizure onset in the medial temporal lobe. Electroencephal Clin Neurophysio, 414-422, 1982.
Ellenberg JH, Hirtz DG, Nelson KB. Age at onset of seizures in young children. Ann Neurol, 15:172-134, 1984.
Ellison PH, Largent JA. A scoring system to predict outcome following neonatal seizures. J Pediatr, 99:455-459, 1981.
Engoren M. Approximate entropy of respiratory rate and tidal volume during weaning from mechanical ventilation. Crit Care Med, 26:2046-2056, 1998.
Fenichel GM. Neonatal Neurology. 2ndEd., New York: Churchill-Livingstone; 1985.
Gotman J. Automatic recognition of epileptic seizure in the EEG. Electroenceph. Clin. Neurophysiol. 54:30-540, 1982.
Gotman J. Measurement of small time differences between EEEG channels: methods and application to epileptic seizure propagation. Electro Clinic Neurophys, 56:501-514, 1983.
Gotman J. Automatic seizure detection: improvements and evaluation. Electroenceph Clin Neurophysiol., 76: 317-324, 1990.
Gotman J, Flanagan D, Zhang J, Rosenblatt B. Automatic seizure detection in the newborn: methods and initial evaluation. Electroenceph Clin Neurophysiol.. 103: 356-362, 1997a.
Gotman J, and Levtova V. Amygdala-Hippocampus Relationships in Temporal Lobe Seizures: A Phase-Coherence Study. Epilepsy Research. Epilepsy Research. 25:51-57, 1996.
Gotman J, Flanagan D, Rosenblatt B, Bye A, Mizrahi EM. Evaluation of an automatic seizure detection method for the newborn EEG. Electroenceph Clin Neurophysiol., 103: 363-369, 1997b.
Holden KR, Melilts ED, Freeman JM. Neonatal seizures. I. Correlation of prenatal and perinatal events with outcomes. Pediatrics, 70:165-176, 1982.
Holmes GL, Chronopoulos A, Stafstrom CE. Effects of kindling on subsequent learning, memory, behavior, and seizures susceptibility. Brain Res Dev Brain Res. 73: 71-77, 1993a.
Hoirnes GL, Khazipov R, Ben-Ari Y. New concepts in neontal seizures. NeuroReport. 13(1):A3-A8, 2002.
Hrachovy RA, Mizrahi EM, Kellaway P. Electroencephalography of the newborn. Eds: Daly D, Pedley TA. In:Current Practice of Clinical Electroencephalography. 2nded. New York: Raven; 201-242, 1990.
Iasernidis LD, Sackellares JC, Zarari HP, Williams WJ. Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizures. Brain Topography, 2(3) 1-18, 1990.
Iasemidis LD, Pardalos PM, Sackellares JC, Shiau DS. “Quadratic Binary Programming and Dynamical System Approach to Determine the Predictability of Epileptic Seizures.”Journal of Combinatorial Optimization5(1), 9-26, 2001.
Iasemidis LD, Shiau DS; Chaowolitwongse W., Prasad A, Veeramani B, Sackellares JC, Pardalos PM, Carney PR, and Tsakalis K. Adaptive Epileptic Seizure Prediction System. IEEE Transactions in Biomedical Engineering, in press.
Iasemidis LD, Pardalos PM, Shiau DS, Chaowolitwongse W., Narayanan K, Kumar S, Carney PR, Sackellares JC. Prediction of human epileptic seizures based on optimization and phase changes of brain electrical activity. Optimization Methods and Software, in press.
Jenkins GM and Watts DG.Spectral Analysis and its Applications. Holden-Day SF, 2968.
Jensen FE, Applegate CD, Holtzman D. Epileptogenic effect of hypoxia in the immature rodent brain. Ann Neurol. 29:629-637, 1991.
Kaiser JF. On a simple algorithm to calculate the “energy” of a signal. In: Proceedings of ICASSP, 381-384, 1990.
Koopmans LH.The Spectral Analysis of Time Series. San Diego, CA: Academic press, 1995.
Lehnertz K and Eiger C. Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity. Phys Rev Lett., 80: 5019-5022, 1998.
Litt B, Esteller R, Echauz J, D'Alessandro M, Shor R, Henry T, Pennell P, Epstein C, Bakay R, Dichter M, Vachtsevanos G. Epileptic seizures may begin hours in advance of clinical onset: A report of five patients. Neuron., 30(1):51-64, 2001.
Lombroso CT. Neonatal EEG polygraphy in normal and abnormal newborns. In:Electroencephalography. Basic Principles, Clinical Applications and Related Fields. Eds: E.Neiderrneyer and FH Lopes da Silva. Baltimore, MD, Wiliams and Wilkins, 802-875:1993.
Lowenstein DH, Shimosaka S, So YT. The relationship between electrographic seizure activity and neuronal injury. Epilepsy Res. 10:49-54, 1991.
Lui A, Hahn JS, Heldt GP, Coen RW. Detection of neonatal seizures through computerized EEG analysis. Electroenceph Clin Neurophysiol., 82: 30-37, 1992.
Mars NJI and Lopes Da Silva FH. EEG analysis methods based on information theory. In:Methods of Analysis of Brain Electrical and Magnetic Signals. EEG Handbook (revised series, vol. 1), AS Gevins and A. Remand, Eds, Elsevier:Amsterdam, 297-307, 1987.
Martinerie J, Adam C, Le Van Quyen M, Baulac M, Clemenceau S, Renault B, Varela FJ. Epileptic seizures can be anticipated by non-linear analysis. Nature Medicine., 4(10): - 1173-1176, 1998.
Meldrum B. Physiological changes du

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