Cerebral biopotential analysis system and method

Surgery – Truss – Pad

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

A61B 504

Patent

active

050108913

ABSTRACT:
Disclosed is a real time cerebral diagnostic apparatus and method for quantitatively evaluating, in a noninvasive manner, cerebral phenomena such as the depth and adequacy of anesthesia pain responses during surgical stress, acute cerebral ischemia, level of consciousness, degree of intoxication and ongoing normal and abnormal cognitive processes. A suitable electrode and amplifier system is used to obtain high resolution biopotentials from the regions of interest. Surface electroencephalographic (EEG) signals are filtered to allow the acquisition of frequencies between 2 and 500 Hz, then digitized and transmitted over a high speed serial line to a host computer where a 32 second long signal is divided into 128 consecutive 0.25 second intervals. Digital EEG data from unipolar leads is normalized and the dynamic phase and density relations within the signal are then characterized by estimating the third-order autocorrelation function or autobispectrum using either a frequency domain, or parametric approach. Paired EEG data from corresponding left and right hemisphere leads is used to characterize the dynamic phase and density relations between hemispheres by estimating the third order crosscorrelation function or crossbispectrum using either frequency domain or parametric techniques. Under certain specific filtering circumstances the power spectrum and crosspower spectrum are also computed. A reference clinical database is used to identify frequency pairs most sensitive to particular interventions or diagnostic states of interest. The values at these frequency pairs are then extracted from the patient's autobicoherence, autobispectral density, autobiphase, crossbicoherence, crossbispectral density, and crossbiphase arrays. The ensemble of values for the particular diagnostic determination is used to compute an index which serves as the diagnostic criterion by which the patient's state is judged. Any diagnostic index can be continuously displayed on a graphics terminal for real-time diagnostic monitoring or can be sent to a hard copy device to generate reports for the medical record.

REFERENCES:
patent: 4407299 (1983-10-01), Culver
patent: 4697598 (1987-10-01), Bernard et al.
patent: 4753246 (1988-06-01), Freeman
Withington, P. S., Morton, J., Arnold, R., Sebel, P.S., and Moberg, R., Assessment of Power Spectral Edge for Monitoring Depth of Anesthesia using Low Methohexitone Infusion. Int-J-Clin-Monit-Computing. 3(2): pp. 117-122 (1986).
Levy, W. J., Intraoperative EEG Patterns: Implications for ERG Monitoring. Anesthesiology. 60(5): pp. 430-434 (1984).
Pichlmayr, I., and Lips, U., EEG Monitoring in Anesthesiology and Intensive Care. Neuropsychobiology. 10(4): pp. 239-248 (1983).
Baker, A. B., and Roxburgh, A. J., Computerised EEG Monitoring for Carotid Endarterectomy. Anaesth-Intensive Care (14(1): pp. 32-36 (1986).
Brillinger, D. R., An Introduction to Polyspectra. Annals of Mathematical Statistics 36:1351-1374 (1965).
Russ, W., Kling, D., Krumholz, W., Fraedrich, G., and Hempelmann, G., [Experience with a New EEG Spectral Analyzer in Carotid Surgery] Erfahrungen mit einem neuen EEG-Spektralanalysator in der Karotischirurgie. Anaesthetist 45(2): pp. 85-90 (1985).
Rampil, I. J., Holzer, J. A., Quest, D. O., Rosenbaum, S. H., and Correll, J. W., Prognostic Value of Computerized EEG Analysis during Carotic Endarterectomy. Anesthesia Analgesia 62:186-192 (1983).
Huber, P. J., B. Kleiner, T. Gasser and G. Dumermuth. Statistical Method for Investigating Phase Relations in Stationary Stochastic Processes. IEEE Trans. Aud. and Electroacou. AU-19/1:78-86 (1971).
Tryon, P. V., The Bispectrum and Higher-Order Spectra: A Bibliography. U.S. NBS (Tech Note 1036) (1981).
Nikias, C. L., and Raghuveer, M. R., Bispectrum Estimation: A Digital Signal Processing Framework, Proc. IEEE, 75,7:869-891 (1987).
Susumu, T., and Osamu, T., Analysis of Wave Shapes of Alpha Waves on EEG by Means of the Bispectrum. (1973).
Kleiner, B., Huber, P. J., and Dumermuth, G., Analysis of the Interelations Between Frequency Bands of the EEG by Means of the Bispectrum. Electroencephalogr. Neurophysiol. 27(7): 693-694 (1969).
Dumermuth, G., Huber, P. J., Kleiner, B., and Gasser, T., Analysis of the Interrelations Between Frequency Bands of the EEG by Means of the Bispectrum. A preliminary Study. Electroencephalogr. Clin. Neurophysiol. 31(2):137-148 (1971).
Barnett, T. P., Johnson, L. C., Naitoh, P., Hicks, N. and Nute, C., Bispectrum Analysis of Electroencephalogram Signals During Waking and Sleeping. Science 172:402-401 (1971).
Raghuveer, M. R. and Nikias, C. L. Bispectrum Estimation: A Parametric Approach. IEEE Trans. on Acoustics, Speech & Signal Processing. 33:1213-1230 (1985).
Volavka, J., Matousek, M., Feldstein, S. et al., The Reliability of Electroencephalography Assesement. Electroencephalography and Electromyography. 4:123 (1973).
Eichhorn, J. H., Cooper, J. B., Cullen, D. J., Ward, M. R., Philip, J. H., and Seeman, R. G., Standards for Patient Monitoring During Anesthesia at Harvard Medical School. JAMA. 256(*): pp. 1017-1020 (1986).
Jasper, H. H., The Ten-Twenty Electrode System of the International Federation in Electroencephalography and Clinical Neurophysiology. EEG Journal. 10:371-375 (1985).
Haykin, S., Adaptive Filter Theory. Prentice-Hall, Englewood Cliffs, N.J. (1986).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Cerebral biopotential analysis system and method does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Cerebral biopotential analysis system and method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Cerebral biopotential analysis system and method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-634231

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.