Computerized Clinical Electroencephalography in Perspective

Recent developments in the field of computerized clinical electroencephalography (EEG) are surveyed, with particular reference to techniques of analysis of background (stationary) EEG activity, transient (nonstationary) activity, and to integrated systems for multichannel clinical EEG's. A variety of approaches have been used for the basic EEG analyses. For background activity, the fast Fourier transform (FFT) and autoregressive approaches have predominated. For fast transients, segmentation, double differentiation, and inverse filtering have been prevalent. Some integrated systems, which provide a summary, and in some cases an evaluation of the basic EEG analyses, are limited to processing of only the background activity, whereas others include both background and transient activity. Some systems have been designed primarily to be an aid to the clinical electroencephalographer in the preparation of his report. A very few systems have been designed to provide a printed report similar to the conventional clinical EEG report. Although not considered extensively in this review, artifact rejection and/or compensation will necessarily be a major aspect of any fully computerized system. Overall, the field of computerized clinical EEG is now a relatively rapidly evolving one in which further progress is likely to be accelerated by the utilization of microprocessors and high-speed arithmetic processing devices.

[1]  R. Woody.  Intra-judge reliability in clinical electroencephalography. , 1966, Journal of clinical psychology.

[2]  N. Burch,et al.  Period analytic estimates of moments of the power spectrum: a simplified EEG time domain procedure. , 1971, Electroencephalography and clinical neurophysiology.

[3]  B. Saltzberg.  Frequency Modulation Using Digital Filtering Techniques , 1970 .

[4]  B Kleiner.  Some comments on the use of an EEG autoregressive model for the time-saving calculation of spectral power density distributions with a digital computer. , 1973, Electroencephalography and clinical neurophysiology.

[5]  J. S. Barlow,et al.  EEG transient detection by matched inverse digital filtering. , 1980, Electroencephalography and clinical neurophysiology.

[6]  J. R. Cox,et al.  Digital analysis of the electroencephalogram, the blood pressure wave, and the electrocardiogram , 1972 .

[7]  P. Fenwick,et al.  Mathematical simulation of the electroencephalogram using an autoregressive series. , 1971, International journal of bio-medical computing.

[8]  M A B BRAZIER,et al.  Cross-correlation and autocorrelation studies of electroencephalographic potentials. , 1952, Electroencephalography and clinical neurophysiology.

[9]  C. Binnie,et al.  A glossary of terms most commonly used by clinical electroencephalographers. , 1974, Electroencephalography and clinical neurophysiology.

[10]  F. Gibbs,et al.  A FOURIER TRANSFORM OF THE ELECTROENCEPHALOGRAM , 1938 .

[11]  A Sances,et al.  Automatic analysis of continuous EEG. , 1971, Biomedical sciences instrumentation.

[12]  Walter Do,et al.  The method of complex demodulation. , 1968 .

[13]  P Y Ktonas,et al.  Quantification of abnormal EEG spike characteristics. , 1974, Computers in biology and medicine.

[14]  Petre Stoica,et al.  SOME PROGRAMS FOR THE PROCESSING OF EEG DATA ON A SMALL GENERAL PURPOSE DIGITAL COMPUTER , 1979 .

[15]  W Probst,et al.  On-line analysis of EEG with a small computer (period-amplitude analysis). , 1969, Electroencephalography and clinical neurophysiology.

[16]  G. Pfurtscheller,et al.  A new approach to spike detection using a combination of inverse and matched filter techniques. , 1978, Electroencephalography and clinical neurophysiology.

[17]  John R. Knott,et al.  Fourier transforms of the electroencephalogram during sleep , 1942 .

[18]  M. Matousek,et al.  Automatic evaluation of EEG background activity by means of age-dependent EEG quotients. , 1973, Electroencephalography and clinical neurophysiology.

[19]  J R Carrie,et al.  A hybrid computer technique for detecting sharp EEG transients. , 1972, Electroencephalography and clinical neurophysiology.

[20]  L. Zetterberg.  Estimation of parameters for a linear difference equation with application to EEG analysis , 1969 .

[21]  G Pfurtscheller,et al.  The use of an EEG autoregressive model for the time-saving calculation of spectral power density distributions with a digital computer. , 1972, Electroencephalography and clinical neurophysiology.

[22]  Gerard J. Fryer,et al.  DECONVOLUTION AND SPECTRAL ESTIMATION USING FINAL PREDICTION ERROR , 1975 .

[23]  On the Statistical Method in the Brain‐Wave Study. Part I , 1949 .

[24]  W Storm van Leeuwen,et al.  The use of computer analysis for diagnosis in routine electroencephalography. , 1976, Revue d'electroencephalographie et de neurophysiologie clinique.

[25]  R. J. Ellingson,et al.  On the reliability of clinical EEG interpretation. , 1959, Journal of Nervous and Mental Disease.

[26]  R N Harner,et al.  Computed EEG topography. , 1978, Electroencephalography and clinical neurophysiology. Supplement.

[27]  H M Praetorius,et al.  Adaptive segmentation of EEG records: a new approach to automatic EEG analysis. , 1977, Electroencephalography and clinical neurophysiology.

[28]  J R Ives,et al.  Clinical applications of spectral analysis and extraction of features from electroencephalograms with slow waves in adult patients. , 1973, Electroencephalography and clinical neurophysiology.

[29]  A. Rémond,et al.  La théorie des objets électrographiques , 1972 .

[30]  A.S. Gevins,et al.  Automated analysis of the electrical activity of the human brain (EEG): A progress report , 1975, Proceedings of the IEEE.

[31]  L. Beckman,et al.  Pregnancy enzymes and placental polymorphism. I. Alkaline phosphatse. , 1966, Acta genetica et statistica medica.

[32]  W Gersch,et al.  Spectral analysis of seizures in humans. , 1975, Computers and biomedical research, an international journal.

[33]  William P. Birkemeier,et al.  Pattern Recognition Techniques for the Detection of Epileptic Transients in EEG , 1978, IEEE Transactions on Biomedical Engineering.

[34]  R. Woody.  Inter-judge reliability in clinical electroencephalography. , 1968, Journal of clinical psychology.

[35]  C A Caceres,et al.  Pattern reading of the clinical electroencephalogram with a digital computer. , 1967, Electroencephalography and clinical neurophysiology.

[36]  B. Sklar,et al.  A computer analysis of EEG spectral signatures from normal and dyslexic children. , 1973, IEEE transactions on bio-medical engineering.

[37]  M Serafini,et al.  A pattern recognition method applied to EEG analysis. , 1973, Computers and biomedical research, an international journal.

[38]  P. Crandall,et al.  Special characteristics of EEG activity accompanying deep spiking in a patient with schizophrenia. , 1970, Electroencephalography and clinical neurophysiology.

[39]  B. Hjorth.  The physical significance of time domain descriptors in EEG analysis. , 1973, Electroencephalography and clinical neurophysiology.

[40]  W. Gersch.  Spectral analysis of EEG's by autoregressive decomposition of time series , 1970 .

[41]  Bernard Saltzberg.  Parameter Selection and Optimization in Brain Wave Research , 1975 .

[42]  R. Bickford,et al.  Compression of EEG data. , 1971, Transactions of the American Neurological Association.

[43]  J. Tukey,et al.  An algorithm for the machine calculation of complex Fourier series , 1965 .

[44]  H R Townsend,et al.  The automatic estimation of epileptic spike activity. , 1973, International journal of bio-medical computing.

[45]  B Saltzberg,et al.  Detection of focal depth spiking in the scalp EEG of monkeys. , 1971, Electroencephalography and clinical neurophysiology.

[46]  W. R. Adey,et al.  Discriminating among states of consciousness by EEG measurements. A study of four subjects. , 1967, Electroencephalography and clinical neurophysiology.

[47]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[48]  L H Zetterberg,et al.  Means and methods for processing of physiological signals with emphasis on EEG analysis. , 1977, Advances in biological and medical physics.

[49]  Bernard Saltzberg.  A Model for Relating Ripples in the EEG Power Spectral Density to Transient Patterns of Brain Electrical Activity Induced by Subcortical Spiking , 1976, IEEE Transactions on Biomedical Engineering.

[50]  F Grémy,et al.  An Approach to an Automatic Pattern Recognition of the Electroencephalogram: Background Rhythm and Paroxysmal Elements , 1973, Methods of Information in Medicine.

[51]  J. Jacobson,et al.  COMPUTER ANALYSIS OF THE ERG , 1962, Acta ophthalmologica.

[52]  R R Young,et al.  Results of Electroencephalographic Monitoring During 367 Carotid Endarterectomies Use of a Dedicated Minicomputer , 1979, Stroke.

[53]  D. O. Walter,et al.  Spectral analysis for electroencephalograms: mathematical determination of neurophysiological relationships from records of limited duration. , 1963, Experimental neurology.

[54]  M A BRAZIER,et al.  A note on a correlator for electroencephalographic work. , 1954, Electroencephalography and Clinical Neurophysiology.

[55]  Harner Rn,et al.  Computed EEG topography. , 1978 .

[56]  J. Gotman,et al.  Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG. , 1976, Electroencephalography and clinical neurophysiology.

[57]  Richard H. Jones.  Identification and autoregressive spectrum estimation , 1974 .

[58]  K. A. Kooi,et al.  Voltage‐time characteristics of spikes and other rapid electroencephalographic transients , 1966, Neurology.

[59]  R G Bickford,et al.  The use of on-line telephonic computer analysis of the E.E.G. in anaesthesia. , 1973, British journal of anaesthesia.

[60]  M A BRAZIER,et al.  Some applications of correlation analysis to clinical problems in electroencephalography. , 1956, Electroencephalography and clinical neurophysiology.

[61]  D O Walter,et al.  The method of complex demodulation. , 1968, Electroencephalography and clinical neurophysiology.

[62]  F H Lopes da Silva,et al.  Automatic detection and localization of epileptic foci. , 1977, Electroencephalography and clinical neurophysiology.

[63]  C. Ronning,et al.  Nature and Scope of the Problem , 1965 .

[64]  H W Shipton,et al.  EGG analysis: a history and a prospectus. , 1975, Annual review of biophysics and bioengineering.

[65]  Stephen L. Diamond,et al.  Interactive analysis and display of the electroencephalogram (EEG) in real time , 1975, Comput. Graph..

[66]  R H Jones,et al.  A method for detecting change in a time series applied to newborn EEG. , 1969, Electroencephalography and clinical neurophysiology.

[67]  J Gotman,et al.  Comparison of traditional reading of the EEG and automatic recognition of interictal epileptic activity. , 1978, Electroencephalography and clinical neurophysiology.

[68]  J. Makhoul,et al.  Linear prediction: A tutorial review , 1975, Proceedings of the IEEE.

[69]  L. Zetterberg,et al.  Application of a computer-based model for EEG analysis. , 1971, Electroencephalography and clinical neurophysiology.

[70]  G. Bodenstein,et al.  Feature extraction from the electroencephalogram by adaptive segmentation , 1977, Proceedings of the IEEE.

[71]  B. G. Batchelor,et al.  Computer-assisted interpretation of clinical EEGs. , 1978, Electroencephalography and clinical neurophysiology.

[72]  J. S. Barlow,et al.  An analog correlator system for brain potentials , 1955 .

[73]  J K Penry,et al.  Computer recognition of generalized spike-wave discharges. , 1976, Electroencephalography and clinical neurophysiology.

[74]  D O Walter,et al.  Semiautomatic quantification of sharpness of EEG phenomena. , 1973, IEEE transactions on bio-medical engineering.

[75]  R. H. Jones,et al.  Autoregressive representation of infant EEG for the purpose of hypothesis testing and classification. , 1977, Electroencephalography and clinical neurophysiology.

[76]  J D Frost,et al.  A small computer system for EEG wavelength-amplitude profile analysis. , 1971, International journal of bio-medical computing.

[77]  J Gotman,et al.  A quantitative comparison of traditional reading of the EEG and interpretation of computer-extracted features in patients with supratentorial brain lesions. , 1975, Electroencephalography and clinical neurophysiology.

[78]  S. White.  American electroencephalographic society San Francisco, Calif., September 12–15, 1968 , 1970 .

[79]  J Gotman.  Problems of presentation of analytical results. , 1978, Electroencephalography and clinical neurophysiology. Supplement.

[80]  B. G. Batchelor,et al.  Pattern Recognition in EEG , 1972 .