Signal validation in electroencephalography research
暂无分享,去创建一个
[1] H. Shapiro,et al. The identification of rhythmic EEG artifacts by power-spectrum analysis. , 1980, Anesthesiology.
[2] E. J. Powers,et al. A digital technique to estimate second-order distortion using higher order coherence spectra , 1992, IEEE Trans. Signal Process..
[3] P. Libby. The Scientific American , 1881, Nature.
[4] L. Zetterberg. Estimation of parameters for a linear difference equation with application to EEG analysis , 1969 .
[5] Sara Keeney. Artifact: Sources and Solutions , 1981 .
[6] D J Kupfer,et al. Automating the sleep laboratory: implementation and validation of digital recording and analysis. , 1995, International journal of bio-medical computing.
[7] H Hinrichs,et al. A trend-detection algorithm for intraoperative EEG monitoring. , 1996, Medical engineering & physics.
[8] R. Elul. Gaussian Behavior of the Electroencephalogram: Changes during Performance of Mental Task , 1969, Science.
[9] N V Thakor,et al. Detection of neurological injury using time-frequency analysis of the somatosensory evoked potential. , 1996, Electroencephalography and clinical neurophysiology.
[10] M Veldevande,et al. EEG analysis for monitoring of anesthetic depth , 1991 .
[11] D. Regan. Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine , 1989 .
[12] M. Alexander,et al. Principles of Neural Science , 1981 .
[13] D. Samson-Dollfus,et al. Etude automatique de l'eeg: Une methode de detection des non stationnarites , 1978 .
[14] Rafael Ernesto Delgado,et al. Automated identification and interpretation of auditory brainstem responses , 1993 .
[15] N. T. Smith,et al. Density modulation--a technique for the display of three-variable data in patient monitoring. , 1979, Anesthesiology.
[16] R. Hartley. A More Symmetrical Fourier Analysis Applied to Transmission Problems , 1942, Proceedings of the IRE.
[17] H M Praetorius,et al. Adaptive segmentation of EEG records: a new approach to automatic EEG analysis. , 1977, Electroencephalography and clinical neurophysiology.
[18] A Värri,et al. Automatic identification of significant graphoelements in multichannel EEG recordings by adaptive segmentation and fuzzy clustering. , 1991, International journal of bio-medical computing.
[19] P. Rosenfalck. Intra- and extracellular potential fields of active nerve and muscle fibres. A physico-mathematical analysis of different models. , 1969, Acta physiologica Scandinavica. Supplementum.
[20] W. Levy. Intraoperative EEG Patterns: Implications for EEG Monitoring , 1984, Anesthesiology.
[21] S Cerutti,et al. Monitoring the autonomic nervous system in the ICU through cardiovascular variability signals. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[22] T Grönfors,et al. Effect of sampling frequencies and averaging resolution on medical parameters of auditory brainstem responses. , 1995, Computers in biology and medicine.
[23] G Hellmann,et al. Extensible biosignal (EBS) file format: simple method for EEG data exchange. , 1996, Electroencephalography and clinical neurophysiology.
[24] C. Thornton. Assessment of graded changes in the central nervous system, during general anaesthesia and surgery in man, using the auditory evoked response , 1990 .
[25] S. Shapiro,et al. An Analysis of Variance Test for Normality (Complete Samples) , 1965 .
[26] M. Van Gils,et al. Signal processing in prolonged EEG recordings during intensive care , 1997, IEEE Engineering in Medicine and Biology Magazine.
[27] Banu Onaral,et al. Biomedical Signals: Origin and Dynamic Characteristics; Frequency-Domain Analysis , 1999 .
[28] N. Pradhan,et al. Patterns of attractor dimensions of sleep EEG. , 1995, Computers in biology and medicine.
[29] P Berg,et al. A multiple source approach to the correction of eye artifacts. , 1994, Electroencephalography and clinical neurophysiology.
[30] D.H. Lange,et al. A robust parametric estimator for single-trial movement related brain potentials , 1996, IEEE Transactions on Biomedical Engineering.
[31] D. H. Lange,et al. Modeling and estimation of single evoked brain potential components , 1997, IEEE Transactions on Biomedical Engineering.
[32] Ben H. Jansen,et al. Autoregressive Estimation of Short Segment Spectra for Computerized EEG Analysis , 1981, IEEE Transactions on Biomedical Engineering.
[33] R.D. Jones,et al. Enhancement of deep epileptiform activity in the EEG via 3-D adaptive spatial filtering , 1999, IEEE Transactions on Biomedical Engineering.
[34] W E Hostetler,et al. Assessment of a computer program to detect epileptiform spikes. , 1992, Electroencephalography and clinical neurophysiology.
[35] Leonard Carmichael,et al. ELECTRICAL POTENTIALS FROM THE INTACT HUMAN BRAIN. , 1935, Science.
[36] S. Shapiro,et al. A Comparative Study of Various Tests for Normality , 1968 .
[37] A. Shetter,et al. Intraoperative monitoring of brain-stem auditory evoked potentials. , 1982, Journal of neurosurgery.
[38] C.W. Anderson,et al. Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks , 1998, IEEE Transactions on Biomedical Engineering.
[39] M E Lutman,et al. Quality estimation of click-evoked oto-acoustic emissions. , 1990, Scandinavian audiology.
[40] J R Bourne,et al. Artificial intelligence methods in quantitative electroencephalogram analysis. , 1982, Computer programs in biomedicine.
[41] B. Oken,et al. Short-term variability in EEG frequency analysis. , 1985, Electroencephalography and clinical neurophysiology.
[42] Evaluation of automatic quality assessment of auditory evoked potentials in clinical data , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[43] M P Robinson,et al. Interference to medical equipment from mobile phones. , 1997, Journal of medical engineering & technology.
[44] C. A. Berry,et al. A simple cable for reduction of movement artifact in electroencephalographic recordings. , 1967, Electroencephalography and clinical neurophysiology.
[45] S Cerutti,et al. Classification of the EEG during neurosurgery. Parametric identification and Kalman filtering compared. , 1986, Journal of biomedical engineering.
[46] John R. Glover,et al. A Multichannel Signal Processor for the Detection of Epileptogenic Sharp Transients in the EEG , 1986, IEEE Transactions on Biomedical Engineering.
[47] P. Tonella,et al. EEG data compression techniques , 1997, IEEE Transactions on Biomedical Engineering.
[48] Winni F. Hofman,et al. Sleep-wake research in the Netherlands , 1999 .
[49] P. Deltenre,et al. A new descriptor of the dual character of the input-output behaviour of the cochlea, with implications for signal-to-noise ratio estimation of brain-stem auditory potentials evoked by alternating polarity clicks. , 1993, Electroencephalography and clinical neurophysiology.
[50] H. Lüders,et al. Interobserver variability in EEG interpretation , 1985, Neurology.
[51] C. Brunia,et al. Distribution of slow brain potentials related to motor preparation and stimulus anticipation in a time estimation task. , 1988, Electroencephalography and clinical neurophysiology.
[52] J. Makhoul,et al. Linear prediction: A tutorial review , 1975, Proceedings of the IEEE.
[53] A R MacLennan,et al. Reduction of evoked potential measurement time by a TMS320 based adaptive matched filter. , 1995, Medical engineering & physics.
[54] Bodis-Wollner,et al. International Federation of Societies for Electroencephalography and Clinical Neurophysiology. , 1974, Electroencephalography and clinical neurophysiology.
[55] P J Cluitmans,et al. Information processing during cardiac surgery: an event related potential study. , 1995, Electroencephalography and clinical neurophysiology.
[56] G. B. Anderson,et al. Modeling the Stationarity and Gaussianity of Spontaneous Electroencephalographic Activity , 1975, IEEE Transactions on Biomedical Engineering.
[57] William J. Williams,et al. Time-frequency analysis of electrophysiology signals in epilepsy , 1995 .
[58] H. Jasper,et al. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.
[59] N. T. Smith,et al. SPECTRAL EDGE FREQUENCY — A NEW CORRELATE OF ANESTHETIC DEPTH , 1980 .
[60] Sergio Cerutti,et al. Parameter extraction in EEG processing during riskful neurosurgical operations , 1985 .
[61] M. M. van den Berg-Lenssen,et al. Correction of ocular artifacts in EEGs using an autoregressive model to describe the EEG; a pilot study. , 1989, Electroencephalography and clinical neurophysiology.
[62] David S. Gorney. The Practical Guide to Digital EEG , 1992 .
[63] M.B. Cunha,et al. SIGIF: a digital signal interchange format with application in neurophysiology , 1997, IEEE Transactions on Biomedical Engineering.
[64] R. Sclabassi,et al. The modulatory effect of prior input upon afferent signals in the somatosensory system , 1977 .
[65] B. Rosen,et al. The associations between 40 Hz-EEG and the middle latency response of the auditory evoked potential. , 1987, The International journal of neuroscience.
[66] R. Verleger. Valid identification of blink artefacts: are they larger than 50 microV in EEG records? , 1993, Electroencephalography and clinical neurophysiology.
[67] R.C.W. Grieve,et al. Training neural networks for stimulus artifact reduction in somatosensory evoked potential measurements , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[68] R. Jané,et al. Acoustic analysis of snoring sound in patients with simple snoring and obstructive sleep apnoea. , 1996, The European respiratory journal.
[70] R. Coppola,et al. Signal to noise ratio and response variability measurements in single trial evoked potentials. , 1978, Electroencephalography and clinical neurophysiology.
[71] Vladimír Strejc,et al. Least squares parameter estimation , 1979, Autom..
[72] R. Verleger,et al. The instruction to refrain from blinking affects auditory P3 and N1 amplitudes. , 1991, Electroencephalography and clinical neurophysiology.
[73] M. Charlton,et al. EEG in the operating room: artifacts and unusual waveforms. , 1982, The American journal of EEG technology.
[74] Stephan Weiss,et al. A sequential detection method for late auditory evoked potentials , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[75] R. Sclabassi,et al. SOMATOSENSORY EVOKED POTENTIALS TO RANDOM STIMULUS TRAINS , 1980, Annals of the New York Academy of Sciences.
[76] T.F. Collura,et al. EView-a workstation-based viewer for intensive clinical electroencephalography , 1993, IEEE Transactions on Biomedical Engineering.
[77] C Thornton,et al. Evoked potentials in anaesthesia. , 1991, European journal of anaesthesiology.
[78] Joseph D. Bronzino,et al. The Biomedical Engineering Handbook , 1995 .
[79] van Mj Mark Gils. Peak identification in auditory evoked potentials using artificial neural networks , 1995 .
[80] E. Wolpert. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. , 1969 .
[81] J.C. Principe,et al. Neural networks for EEG signal decomposition and classification , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.
[82] T. Gasser,et al. Transformations towards the normal distribution of broad band spectral parameters of the EEG. , 1982, Electroencephalography and clinical neurophysiology.
[83] Nitish V. Thakor,et al. Detection of EEG changes via a generalized Itakura distance , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).
[84] J. Gotman,et al. Frequency content of EEG and EMG at seizure onset: possibility of removal of EMG artefact by digital filtering. , 1981, Electroencephalography and clinical neurophysiology.
[85] C. Brunia,et al. Event-related desynchronization related to the anticipation of a stimulus providing knowledge of results , 1999, Clinical Neurophysiology.
[86] D. Beer. Monitoring adequacy of anesthesia using spontaneous and evoked electroencephalographic activity , 1996 .
[87] K. Bloch,et al. Polysomnography: a systematic review. , 1997, Technology and health care : official journal of the European Society for Engineering and Medicine.
[88] P. Raudzens. INTRAOPERATIVE MONITORING OF EVOKED POTENTIALS , 1980, Annals of the New York Academy of Sciences.
[89] A. Hasman,et al. Piecewise analysis of EEGs using AR-modeling and clustering. , 1981, Computers and biomedical research, an international journal.
[90] S Nishida,et al. Method for recording short latency evoked potentials using an EKG artifact elimination procedure. , 1990, Journal of biomedical engineering.
[91] Pierre J. M. Cluitmans,et al. Non-linear Analysis Of Sensory Evoked Potentials , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.
[92] Guideline Eleven: Guidelines for Intraoperative Monitoring of Sensory Evoked Potentials , 1994, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[93] R Biscay,et al. Multiresolution decomposition of non-stationary EEG signals: a preliminary study. , 1995, Computers in biology and medicine.
[94] P. Lang,et al. The effects of eye fixation and stimulus and response location on the contingent negative variation (CNV). , 1973, Biological psychology.
[95] Ronald N. Bracewell. The Hartley transform , 1986 .
[96] I Korhonen,et al. Building the IMPROVE Data Library. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[97] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[98] J. Hasan,et al. Validation of computer analysed polygraphic patterns during drowsiness and sleep onset. , 1993, Electroencephalography and clinical neurophysiology.
[99] G Bodenstein,et al. Computerized EEG pattern classification by adaptive segmentation and probability-density-function classification. Description of the method. , 1985, Computers in biology and medicine.
[100] V. Reus,et al. Mind and brain. , 1993, Science.
[101] N Saranummi,et al. Improving control of patient status in critical care. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[102] M I Mendel,et al. Early components of the averaged electroencephalic response to constant level clicks during all-night sleep. , 1971, Journal of speech and hearing research.
[103] G. Litscher,et al. Brain-stem auditory evoked potential monitoring. Variations of stimulus artifact in brain death. , 1995, Electroencephalography and clinical neurophysiology.
[104] B. Hannaford,et al. Short Time Fourier Analysis of the Electromyogram: Fast Movements and Constant Contraction , 1986, IEEE Transactions on Biomedical Engineering.
[105] Joachim Mocks,et al. Correcting ocular artifacts in the EEG: A comparison of several methods , 1989 .
[106] S. Henneberg,et al. Autoregressive Modeling with Exogenous Input of Middle-Latency Auditory-Evoked Potentials to Measure Rapid Changes in Depth of Anesthesia , 1996, Methods of Information in Medicine.
[107] Guidelines for Clinical Evoked Potential Studies , 1986 .
[108] R. Barry,et al. EOG correction: a new aligned-artifact average solution. , 1998, Electroencephalography and clinical neurophysiology.
[109] M. Ferdjallah,et al. Adaptive digital notch filter design on the unit circle for the removal of powerline noise from biomedical signals , 1994, IEEE Transactions on Biomedical Engineering.
[110] Ronald G. Emerson,et al. Spike detection II: automatic, perception-based detection and clustering , 1999, Clinical Neurophysiology.
[111] T. Sloan,et al. Evoked potential monitoring. , 1996, International anesthesiology clinics.
[112] J. Cohen,et al. On the number of trials needed for P300. , 1997, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[113] J Gotman,et al. Automatic EEG analysis during long-term monitoring in the ICU. , 1998, Electroencephalography and clinical neurophysiology.
[114] O Ozdamar,et al. Computer methods for on-line hearing testing with auditory brain stem responses. , 1990, Ear and hearing.
[115] A.S. Gevins,et al. Automated analysis of the electrical activity of the human brain (EEG): A progress report , 1975, Proceedings of the IEEE.
[116] N Pradhan,et al. A nonlinear perspective in understanding the neurodynamics of EEG. , 1993, Computers in biology and medicine.
[117] H. Shapiro,et al. Automated EEG processing for intraoperative monitoring: a comparison of techniques. , 1980, Anesthesiology.
[118] R. Vasko,et al. Muscle artifacts in the sleep EEG: Automated detection and effect on all‐night EEG power spectra , 1996, Journal of sleep research.
[119] Milan Palus,et al. Nonlinearity in normal human EEG: cycles, temporal asymmetry, nonstationarity and randomness, not chaos , 1996, Biological Cybernetics.
[120] R. Erwin,et al. Midlatency auditory evoked responses: differential effects of sleep in the human. , 1986, Electroencephalography and clinical neurophysiology.
[121] S. Zeki. The visual image in mind and brain. , 1992, Scientific American.
[122] D. Liberati,et al. A parametric method of identification of single-trial event-related potentials in the brain , 1988, IEEE Transactions on Biomedical Engineering.
[123] K. Nieminen,et al. A clinical description of the IMPROVE data library , 1997, IEEE Engineering in Medicine and Biology Magazine.
[124] H Shibasaki,et al. Clinical application of automatic integrative interpretation of awake background EEG: quantitative interpretation, report making, and detection of artifacts and reduced vigilance level. , 1996, Electroencephalography and Clinical Neurophysiology.
[125] S. Park,et al. TDAT-time domain analysis tool for EEG analysis , 1990, IEEE Transactions on Biomedical Engineering.
[126] W. Gersch. Spectral analysis of EEG's by autoregressive decomposition of time series , 1970 .
[127] P M Patel,et al. A comparison of the electrophysiologic characteristics of EEG burst-suppression as produced by isoflurane, thiopental, etomidate, and propofol. , 1996, Journal of neurosurgical anesthesiology.
[128] J Gade,et al. Collecting EEG signals in the IMPROVE Data Library. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[129] J S Barlow. A general-purpose automatic multichannel electronic switch for EEG artifact elimination. , 1985, Electroencephalography and clinical neurophysiology.
[130] J. Frost,et al. Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positives , 1989, IEEE Transactions on Biomedical Engineering.
[131] E. Pöppel,et al. Sensory information processing during general anaesthesia: effect of isoflurane on auditory evoked neuronal oscillations. , 1991, British journal of anaesthesia.
[132] Gerhard Litscher,et al. Neurophysiologische Signalableitung. Neue technische und praxisbezogene Aspekte zu EEG-Ableiteelektroden - Neurophysiological Signal Recording. EEG Electrodes: New Technical and Practical Aspects , 1996 .
[133] Jari P. Kaipio,et al. Simulation of nonstationary EEG , 1997, Biological Cybernetics.
[134] Emmanuel Ifeachor,et al. Intelligent artefact identification in electroencephalography signal processing , 1997 .
[135] Pjm Pierre Cluitmans,et al. Neurophysiological monitoring of anesthetic depth , 1990 .
[136] D L Woods,et al. Differential auditory processing continues during sleep. , 1991, Electroencephalography and clinical neurophysiology.
[137] P. Prior,et al. The rationale and utility of neurophysiological investigations in clinical monitoring for brain and spinal cord ischaemia during surgery and intensive care. , 1996, Computer methods and programs in biomedicine.
[138] G. Faye Boudreaux-Bartels,et al. Time-Frequency Signal Representations for Biomedical Signals , 1999 .
[139] F D Dunstan,et al. The detection of artefacts in EEG series. , 1991, Statistics in medicine.
[140] R. Bickford,et al. Brain stem auditory evoked potentials: the use of noise estimate. , 1980, Electroencephalography and clinical neurophysiology.
[141] V. Goel,et al. Auto-regressive analysis of EEG reveals brain's response to injury , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[142] O. Ozdamar,et al. Automated auditory brainstem response interpretation , 1994, IEEE Engineering in Medicine and Biology Magazine.
[143] A Värri,et al. A computerized analysis system for vigilance studies. , 1992, Computer methods and programs in biomedicine.
[144] R Benlamri,et al. An automated system for analysis and interpretation of epileptiform activity in the EEG , 1997, Comput. Biol. Medicine.
[145] A Hasman,et al. Piece-wise EEG analysis: an objective evaluation. , 1981, International journal of bio-medical computing.
[146] J. Gotman. Automatic recognition of epileptic seizures in the EEG. , 1982, Electroencephalography and clinical neurophysiology.
[147] J Gotman,et al. State-dependent spike detection: concepts and preliminary results. , 1991, Electroencephalography and clinical neurophysiology.
[148] R. Barry,et al. EOG correction: a new perspective. , 1998, Electroencephalography and clinical neurophysiology.
[149] N. Thakor,et al. Higher-order spectral analysis of burst patterns in EEG , 1999, IEEE Transactions on Biomedical Engineering.
[150] F. Duffy,et al. Spike detection. I. Correlation and reliability of human experts. , 1996, Electroencephalography and clinical neurophysiology.
[151] J Persson. Comments on estimations and tests of EEG amplitude distributions. , 1974, Electroencephalography and clinical neurophysiology.
[152] B. Hjorth. EEG analysis based on time domain properties. , 1970, Electroencephalography and clinical neurophysiology.
[153] J. Victor,et al. A new statistic for steady-state evoked potentials. , 1991, Electroencephalography and clinical neurophysiology.
[154] L Korpinen,et al. Evaluation of Epilepsy Expert--a decision support system. , 1994, Computer methods and programs in biomedicine.
[155] M.T. Hagan,et al. Multireference adaptive noise canceling applied to the EEG , 1997, IEEE Transactions on Biomedical Engineering.
[156] IEEE Spectrum , 2022 .
[157] Boualem Boashash,et al. Preprocessing noisy EEG data using time-frequency peak filtering , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.
[158] D. Dutt. Spectral estimation of EEG signals using cascaded inverse filters. , 1994, International journal of bio-medical computing.
[159] S Cerutti,et al. Non-linear algorithms for processing biological signals. , 1996, Computer methods and programs in biomedicine.
[160] Xuan Kong,et al. Quantification of injury-related EEG signal changes using distance measures , 1999, IEEE Transactions on Biomedical Engineering.
[161] B. Kemp,et al. A proposal for computer‐based sleep/wake analysis , 1993, Journal of sleep research.
[162] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .
[163] M. Cohen,et al. Improving evoked response audiometry with special reference to the use of machine scoring. , 1974, Audiology : official organ of the International Society of Audiology.
[164] C. Thomsen,et al. Assessment of anaesthetic depth by clustering analysis and autoregressive modelling of electroencephalograms. , 1991, Computer methods and programs in biomedicine.
[165] N. Burch,et al. Period analytic estimates of moments of the power spectrum: a simplified EEG time domain procedure. , 1971, Electroencephalography and clinical neurophysiology.
[166] J A Sgro,et al. Phase synchronized triggering: a method for coherent noise elimination in evoked potential recording. , 1985, Electroencephalography and clinical neurophysiology.
[167] Lotfi Senhadji,et al. On some time-frequency signatures in stereo-electroencephalography (SEEG) , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[168] John W. Dalle Molle,et al. Trispectral analysis of stationary random time series , 1995 .
[169] J. Intriligator,et al. On the relationship between EEG and ERP variability. , 1995, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[170] C. Brunia. Stimulus Preceding Negativity: Arguments in Favour of Non Motoric Slow Waves , 1993 .
[171] B H Jansen,et al. Quantitative analysis of electroencephalograms: is there chaos in the future? , 1991, International journal of bio-medical computing.
[172] G. Litscher,et al. Burst-Suppression-Erkennung beim pEEG - Detection of Burst Suppression in the pEEG , 1997 .
[173] B S Oken,et al. Filtering and aliasing of muscle activity in EEG frequency analysis. , 1986, Electroencephalography and clinical neurophysiology.
[174] P K Sadasivan,et al. Minimization of EOG artefacts from corrupted EEG signals using a neural network approach. , 1994, Computers in biology and medicine.
[175] F. Sharbrough,et al. Nonpathologic Factors Influencing Brainstem Auditory Evoked Potentials , 1978 .
[176] M Scherg,et al. Distortion of the middle latency auditory response produced by analog filtering. , 1982, Scandinavian audiology.
[177] A Värri,et al. Evaluation of a computerized system for recognition of epileptic activity during long-term EEG recording. , 1994, Electroencephalography and clinical neurophysiology.
[178] Identification of EEG patterns occurring in anesthesia by means of autoregressive parameters. , 1991, Biomedizinische Technik. Biomedical engineering.
[179] N. Kawabata. A nonstationary analysis of the electroencephalogram. , 1973, IEEE transactions on bio-medical engineering.
[180] I Pichlmayr,et al. Testing the Gaussianity of the Human EEG During Anesthesia , 1992, Methods of Information in Medicine.
[181] John S. Barlow,et al. Computerized Clinical Electroencephalography in Perspective , 1979, IEEE Transactions on Biomedical Engineering.
[182] R. Schmidt. Integrative Functions of the Central Nervous System , 1985 .
[183] R. Tammana,et al. An Artificial Neural-Network Approach to ERP Classification , 1995, Brain and Cognition.
[184] S Nishida,et al. Method for single-trial recording of somatosensory evoked potentials. , 1993, Journal of biomedical engineering.
[185] I. Lesný,et al. [Principles of electroencephalography]. , 1953, Prakticky lekar.
[186] N. Kraus,et al. High-pass filter settings affect the detectability of MLRs in humans. , 1987, Electroencephalography and clinical neurophysiology.
[187] H. Akaike. A new look at the statistical model identification , 1974 .
[188] A S Gevins,et al. On-line computer rejection of EEG artifact. , 1977, Electroencephalography and clinical neurophysiology.
[189] B. Jansen,et al. Single trial evoked potential analysis by means of crosscorrelation and dynamic time-warping , 1986 .
[190] M. Hansson,et al. Estimation of single event-related potentials utilizing the Prony method , 1996, IEEE Transactions on Biomedical Engineering.
[191] E. Sedgwick,et al. Evoked Potential Primer: Visual, Auditory, and Somatosensory Evoked Potentials in Clinical Diagnosis , 1987 .
[192] P. Cluitmans,et al. Haemodynamic responses to incision and sternotomy in relation to the auditory evoked potential and spontaneous EEG. , 1996, British journal of anaesthesia.
[193] G. Bodenstein,et al. Feature extraction from the electroencephalogram by adaptive segmentation , 1977, Proceedings of the IEEE.
[194] Martti Juhola,et al. Latency estimation of auditory brainstem response by neural networks , 1997, Artif. Intell. Medicine.
[195] Richard Aufrichtig,et al. Order estimation and model verification in autoregressive modeling of EEG sleep recordings , 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[196] C. Thomsen,et al. Quantitative EEG in assessment of anaesthetic depth: comparative study of methodology. , 1996, British journal of anaesthesia.
[197] Alpo Värri,et al. Weighted FMH filters , 1993, Signal Process..
[198] J R Bourne,et al. Identification and labeling of EEG graphic elements using autoregressive spectral estimates. , 1982, Computers in biology and medicine.
[199] M Juhola,et al. On digital filtering of auditory brainstem responses. , 1993, Medical progress through technology.
[200] M. Todd,et al. EEGs, EEG processing, and the bispectral index. , 1998, Anesthesiology.
[201] P. Jayakar,et al. Artifacts in ambulatory cassette electroencephalograms. , 1985, Electroencephalography and Clinical Neurophysiology.
[202] R Summers,et al. Using artificial neural networks for classifying ICU patient states. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[203] T. Gasser,et al. Test-retest reliability of spectral parameters of the EEG. , 1985, Electroencephalography and clinical neurophysiology.
[204] R. Bender,et al. Reduktion der Anzahl von EEG-Ableitungen für ein routinemäßiges Monitoring auf der Intensivstation - Electroencephalographic Monitoring in the ICU - Reduction of the Number of Recorded Channels , 1992 .
[205] B Kemp,et al. Simulation of human hypnograms using a Markov chain model. , 1986, Sleep.
[206] W J Levy,et al. Effect of Epoch Length on Power Spectrum Analysis of the EEG , 1987, Anesthesiology.
[207] Neurologische Klinik,et al. Neurophysiologisches Monitoring bei neurochirurgischen Gefäßoperationen: Spezifische technische Anforderungen und deren Umsetzung , 1992 .
[208] L. Gupta,et al. Nonlinear alignment and averaging for estimating the evoked potential , 1996, IEEE Transactions on Biomedical Engineering.
[209] B.H. Jansen,et al. Knowledge-based approach to sleep EEG analysis-a feasibility study , 1989, IEEE Transactions on Biomedical Engineering.
[210] F. H. Lopes da Silva,et al. Event-related potentials: methodology and quantification , 1998 .
[211] É. Moulines,et al. Testing that a stationary time-series is Gaussian: time-domain vs. frequency-domain approaches , 1993, [1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics.
[212] W.R. Fright,et al. A multistage system to detect epileptiform activity in the EEG , 1993, IEEE Transactions on Biomedical Engineering.
[213] K. Lowy,et al. Assessing the significance of averaged evoked potentials with an on-line computer: the split-sweep method. , 1968, Electroencephalography and clinical neurophysiology.
[214] R A Pronk,et al. Interference suppression for EEG recording during open heart surgery. , 1979, Electroencephalography and clinical neurophysiology.
[215] Reexamination of effects of stimulus rate and number on the middle components of the averaged electroencephalic response. , 1975, Audiology : official organ of the International Society of Audiology.
[216] Antoine Rémond,et al. Clinical Applications of Computer Analysis of Eeg and Other Neurophysiological Signals , 1987 .
[217] H. Schimmel. The (�) Reference: Accuracy of Estimated Mean Components in Average Response Studies , 1967, Science.
[218] J. S. Barlow,et al. Muscle spike artifact minimization in EEGs by time-domain filtering. , 1983, Electroencephalography and clinical neurophysiology.
[219] C Tomberg,et al. Inadequacy of the average reference for the topographic mapping of focal enhancements of brain potentials. , 1990, Electroencephalography and clinical neurophysiology.
[220] Guideline Thirteen: Guidelines for Standard Electrode Position Nomenclature , 1994, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[221] F. L. D. Silva,et al. EEG analysis: Theory and Practice , 1998 .
[222] T. Picton,et al. Evaluation of brain-stem auditory evoked potentials using dynamic time warping. , 1988, Electroencephalography and clinical neurophysiology.
[223] J. Gotman,et al. State dependent spike detection: validation. , 1992, Electroencephalography and clinical neurophysiology.
[224] M. S. Mobin,et al. Weighted averaging of evoked potentials , 1992, IEEE Transactions on Biomedical Engineering.
[225] C Elberling,et al. Quality estimation of averaged auditory brainstem responses. , 1984, Scandinavian audiology.
[226] H. Lilliefors. On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown , 1967 .
[227] M. R. Saatchi,et al. Adaptive multiresolution analysis based evoked potential filtering , 1997 .
[228] A Värri,et al. A simple format for exchange of digitized polygraphic recordings. , 1992, Electroencephalography and clinical neurophysiology.
[229] F H Duffy,et al. Status of Quantitative EEG (QEEG) in Clinical Practice, 1994 , 1994, Clinical EEG.
[230] M Hoke,et al. Weighted averaging--theory and application to electric response audiometry. , 1984, Electroencephalography and clinical neurophysiology.
[231] J. Robert Boston,et al. Spectra of Auditory Brainstem Responses and Spontaneous EEG , 1981, IEEE Transactions on Biomedical Engineering.
[232] J.R. Boston,et al. Automated interpretation of brainstem auditory evoked potentials: a prototype system , 1989, IEEE Transactions on Biomedical Engineering.
[233] C Thornton,et al. Evoked responses in anaesthesia. , 1998, British journal of anaesthesia.
[234] Donald W. Klass,et al. The Continuing Challenge of Artifacts in the EEG , 1995 .
[235] B. L. Grundy. Monitoring of sensory evoked potentials during neurosurgical operations: methods and applications. , 1982, Neurosurgery.
[236] Richard D. Jones,et al. The self-organising feature map in the detection of epileptiform transients in the EEG , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[237] J A Swets,et al. Measuring the accuracy of diagnostic systems. , 1988, Science.
[238] M M Cohen,et al. Improving evoked response audiometry. Results of normative studies for machine scoring. , 1975, Audiology : official organ of the International Society of Audiology.
[239] F. L. D. Silva,et al. Dynamics of EEGs as signals of neuronal populations: models and theoretical considerations , 1998 .
[240] P. Husar,et al. Bispectrum analysis of visually evoked potentials , 1997, IEEE Engineering in Medicine and Biology Magazine.
[241] J Persson,et al. Comments on "Modeling the stationarity and Gaussianity of spontaneous electroencephalographic activity". , 1977, IEEE transactions on bio-medical engineering.
[242] W R Webber,et al. Practical detection of epileptiform discharges (EDs) in the EEG using an artificial neural network: a comparison of raw and parameterized EEG data. , 1994, Electroencephalography and clinical neurophysiology.
[243] D. Pierce. Testing normality in autoregressive models , 1985 .
[244] G. Alarcón,et al. Power spectrum and intracranial EEG patterns at seizure onset in partial epilepsy. , 1995, Electroencephalography and clinical neurophysiology.
[245] C Elberling,et al. Objective detection of averaged auditory brainstem responses. , 1984, Scandinavian audiology.
[246] M Scherg,et al. Simultaneous recording and separation of early and middle latency auditory evoked potentials. , 1982, Electroencephalography and clinical neurophysiology.
[247] J S Barlow. Automatic elimination of electrode-pop artifacts in EEG's. , 1986, IEEE transactions on bio-medical engineering.
[248] Event-related potentials as indirect measures of recognition memory. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[249] P A Parker,et al. Stimulus artifact reduction in evoked potential measurements. , 1996, Archives of physical medicine and rehabilitation.
[250] T. Gasser. Goodness-of-fit tests for correlated data , 1975 .
[251] L P Panych,et al. Practical digital filters for reducing EMG artefact in EEG seizure recordings. , 1989, Electroencephalography and clinical neurophysiology.
[252] Derek A. Linkens,et al. Intelligent signal processing of evoked potentials for anaesthesia monitoring and control , 1997 .