annual international conference of the ieee engineering

Proceedings of the19th Annual International Conference

of the IEEE Engineering in Medicine and Biology SocietyOct.30 - Nov.2, 1997

Chicago IL USA

PART 3 OF 6

UB/TIB Hannover 89

119 057 948.,TOG

Proceedings - 19th International Conference - IEEE/EMBS Oct. 30 - Nov. 2,1997 Chicago, IL. USA

3 Biomedical Information Technology3.1.1 Telecommunications for Health Care Delivery

Improving spatial vector quantization for image compression by use of a quadtree scheme, application to echoendoscopic 894

image compressionCazuguel, G.; Cziho, A.; Solaiman, B.; Roux, C. and Robaszkiewicz, M.

Still medical image coding in noisy communication environments 898

Cziho, A.; Aitsab, O.; Solaiman, B.; Pyndian, R.; Lovanyi, I.; Cazuguel, G. and Roux, C.

Speaker verification for telemedical applications 902

Buch, O. and Reddy, N.

A telemedicine system to detect pre-eclampsia 904

Williams, G.; Jones, G. and Doughty, K.

A systems methodology for the development and evaluation of a telematic home haemodialysis service 907

Carson, E.; Cramp, D.; Darnige, A.; Koutsikos, D.; Murley, D.; Morgan, A. and Vavatsikos, T.

Evoked potential compression using aotlc and dpcm 911

Kong, X.; Qiu, T.; Memon, N. and Tahernezhadi, M.

3.1.2 Information Resources

Telemedicine for home care: applications for aids patients 915

Beuscart, R.; Kulik, J.; Valette, M.; Bricon-Souf, N. and Mouton, Y.

Euromed- a www-based multi-media medical information system 918

Marsh, A.

Biomedical engineering applications- a protoype world wide web textbook 922

Blanchard, S.; DeWolf, D. and Dillon, A.

Establishment and use of a teleconsultation network in opthalmology 924

Zahlmann, G.; Kluthe, S.; Obermaier, M.; Mertz, M. and Mann, G.

Remote patient monitoring service through world-wide web 928

Lee, H.; Park, S. and Woo, E.

Incorporating internet resources in biomedical engineering technology and clinical engineering education 932

Lozano, A.

3.2.1 Medical Information SystemsA multimedia based medical database network system for special clinical procedures in health care delivery 936

Krishnan, S.; Goh, P. and Datlan, Y.

A regional server for medical Information 939

Brlcon-Souf, N.; Delerue, D.; Bezzazi, H.; Donsez, D. and Beuscart, R.

Somavision: integrated radiotherapy treatment planning contouring and field setup workstation 941

Helminen, H.; Sallinen, S,; Laitinen, J.; Aiakuijala, J. and Puurunen, H.

A language for generating hl7 reformatting programs 945

Williams, C.

A computer-based system for problem list maintenance & medical informatics 949

Altaher, M.; Buy, U.; Shalz, S.; Yu, C; Hier, D, and Panko, W.

Structuring medical information for computer-assisted decision support 953

Hudson, D. and Cohen, M.

3.4.1 Virtual Reality Enabling TechnologiesForce propagation models in laparoscopic tools and trainers 957

Payandeh, S.

Sensors and devices to enhance the performances of a minimally invasive surgery tool for replicating surgeon's haptic 961

perception of the manipulated tissues

Scilingo, E.; de Rossi, D.; Bicchi, A. and lacconi, P.

Control of anthropomorphic teleoperator fingers using surface electromyograms 965

Gupta, V. and Reddy, N.

Virtual tape measure for 3-d measurements in micro-surgery 967

Kim, M.; Milgram, P. and Drake, J.

Beam's light view: visualization of radiotherapy treatment planning fields on anatomic surfaces 970

Aiakuijala, J.; Laitinen, J. and Helminen, H.

3.0.1 Biomedical Information TechnologyCardiac telemonitoring by integrating pacemaker telemetry within worldwide data communication systems 974

Hutten, H.; Schreier, G.; Kastner, P. and Schaldach, M.

Study and development of a portable telemetric intracranial pressure measurement unit 977

B-Flick, B,; Orglmeister, R. and Berger, J-M.

An internet based communication server for telemedicine 981

Hu, B.; Bai, J. and Ye, D.

Signal integration and tele-cooperation in a critical care unit 983

Diamantaras, K.; Bacharakls, E.; Kamilatos, I.; Strintzis, M.; Maglaveras, N. and Armaganidis, A.

Modelling of photoplethysmography mobile telemedicine system 987

Istepanian, R.; Brien, M.; Smith, P.; Hays, M. and Nalmimohasses, R.

Development of appropriate telemedicine to improve the management information system for community health care in 991

indonesia

Irawan, Y. and Soegijoko, S.

Prediction of feeling of sub|ect under odor stimulation using physiological information 995

Contents - 9

Proceedings - 19th International Conference - IEEE/EMBS Oct. 30 - Nov. 2, 1997 Chicago, IL. USA

Tsujimoto, H.; Tsutsumi, M. and Nishida, S.

4 Clinical Engineering and Education

4.1.1 Clinical EngineeringQuantitative assessment of behavior in dementia patients by continuous physical activity monitoring 999

Tamura, T.; Fujimoto, T. and Togawa, T.

Prognostic neuroclassification of prostate cancer patients 1003

Naguib, R. and Hamdy, F.

Neural network analysis of prognostic markers in bladder cancer 1007

Naguib, R.; Qureshi, K.; Hamdy, F. and Neal, D.

Computerized evaluation of cognitive and motor function in epilepsy 1010

Kisacanin, B.; Agarwal, G.; Taber, J. and Bendre, A.

A practical method for the energy measurement of therapeutic electron beams based on multiple scattering theory 1014

Guvenis, A.; Ulgen, Y. and Isbakan, F.

Biomechanics of dental implant - a photoelastic evaluation 1017

Kishen, A. and Radhakrishnan, S.

4.3.1 Critical Care / Intelligent MonitoringNeuromonitoring during stereotactic pallidotomy: registration of motor performance and tremor 1021

Journee, H.; Staal, M.; Rutgers, A. and Haaxma, R.

Hemodynamic monitoring by continuous analysis of pulse oxymeter plethysmography waveform in newborn infants 1023

Storme, L.; Logier, R.; Riou, Y .; Jaffre, M. and Lequien, P.

Towards an optimal data set for intensive care 1025

Summers, R.; Jansen, H.; Weller, P.; Gils, M. and Nieminen, K.

Low power portable monitoring system of parameters for hypoglycaemic patients 1029

Ghevondian, N, and Nguyen, H.

Design of a dynamically reconfigurable critical care monitor 1032

Manders, E. and Dawant, B.

Reducing fall incidence In community elders by telecare using predictive systems 1036

Cameron, K.; Hughes, K. and Doughty, K.

4.0.1 Education and Ethics

A course in bioinstrumentation 1040

Webster, J.

Design of physiological source analysis software for educational purposes 1044

Quist, M.; Zanow, F. and Cluitmans, P.

Decision making in a modem hospital: some theoretical and practical aspects 1048

Spyropoulos, B. and Papagounos, G.

Research and post-graduate education in biomedical technology at the danube-university of krems in austria 1052

Czepa, D.; Vogt, G. and Falkenhagen, D.

4.0.2 Critical Engineering/Technology AssessmentIdentification of poor-risk patients under 55 years old with hodgkin's disease at diagnosis- a neural approach 1054

Naguib, R.; Taylor, P.; Jack, F. and Proctor, S.

A multivariate statistical algorithm for analyzing fluorescence spectroscopy of oral squamous cell carcinoma - an animal 1058

model approachWang, C; Chiang, H.; Chen, C; Chiang, C; Kuo, Y. and Chow, S.

Spectroscopic fluorescence characteristics of dmba-induced hamster buccal pouch carcinogenesis 1062

Chen, C; Wang, C; Chiang, C; Chiang, H. and Lee, Y.

4.0.3 Critical Care/ Intelligent MonitoringAutomatic on-line detection of apneas and hypopneas 1066

Bartolo, A.; Clymer, B.; Burgess, R. and Turnbull, J.

Early detection of bronchiolitis obliterans syndrome in lung transplant recipients with chronic rejection using home 1070

spirometry

Finkelstein, S.; Hertz, M.; Snyder, M.; Stibbe, C; Sabati, N.; Lindgren, B.; Dutta, P.; Killoren, T. and Slagle, J.

Determination of a mathematical Indicator from the acoustical analysis of primal crying of newborns to evaluate their 1073

well-being

Perez, A.; Gutierrez, A.; Sanchez, M.; Remolina, J.; Aguilera, O.; Leija, L. and Hernandez, P.

A remote electronic monitoring system for the prevention of pressure sores 1076

Williams, G.; Spicer, L. and Doughty, K.

Continual pulmonary arterial wedge pressure estimated beat-to-beat by a neural network 1080

Johnson, R.

The effect of treatment for myofascial trigger points on the emg fatigue parameters of shoulder muscles 1082

Moussavi, Z.; Cooper, J. and Shwedyk, E.

An intelligent monitoring system for patient health care 1086

Tanha, A. and Popovic, D.

5 Signal Processing

Contents-10


5.1.1 Neural Networks

Neural network control of neuromuscular stimulation in pareplepics for independent ambulation 1088

Graupe, D. and Kordylewski, H.

A comparison of neural spike classification techniques 1092

Stitt, J.; Gaumond, R.; Frazier, J. and Hanson, F.

Personal computer system for ecg recognition in myocardial infarction diagnosing based on an artificial neural network 1095

Elias, A.; Leija, L; Alvarado, C; Hernandez, P. and Gutierrez, A.

An adaptive rbf neural network model for evoked potential estimation 1097

Fung, K.; Chan, F.; Lam, F. and Poon, P.

Estimation of depth of anesthesia using the midlatency auditory evoked potentials by means of neural network based 1100

multiple classifier systemLu, Y.; Huang, J. and Roy, R.

5.2.1 Fuzzy Logic in Medicine

Simulation of fuzzy control for management of respiratory rate in assist-control mechanical ventilation 1104

Nelson, D.; Strickland, J. and Jannett, T.

Using fuzzy logic reasoning for monitoring hypoglycaemia in diabetic patients 1108

Ghevondian, N. and Nguyen, H.

Development and verification of fuzzy situation classes for glaucoma monitoring 1112

Zahlmann, G.; Wegner, A. and Scherf, M.

A fuzzy rule-based system for real-time separation of crackles from vesicular sounds 1115

Tolias, Y.; Hadjileontiadis, L. and Panas, S.

Implementation of an adaptive fuzzy logic controller for fes-cycling system 1119

Ann, B-T .; Chen, J. and Ju, M.

Quantitative parametrization of colonoscopic images by applying fuzzy technique 1121

Krishnan, S. and Goh, P.

5.3.1 Spectrum Analysis TechniquesSpectral characterization of neonatal arterial blood pressure associated with surfactans therapy 1124

Talaji, A.; Daley, M.; Leffler, C. and Bolda, H.

Nonlinear analysis of musical lung sounds using the bicoherence index 1126

Hadjileontiadis, L. and Paras, S.

Intestinal motility: correlation between the pressure and the electrical signal from the small gut 1130

Martinez-de-Juan, J.; Saiz, F.; Ponce, J. and Meseguer, M.

Bispectral analysis In laser doppler flowmetry signal processing 1134

Alexopoulos, V. and Kollias, S.

Discrimination of heart sounds using higher-order statistics 1138

Hadjileontiadis, L. and Panas, S.

Estimation of aortic bp waveform from noninvasive radial tonometry; validation of fft and arx methods 1142

Hori, C; Itakura, K.; Nogawa, M.; Shirakabe, M.; Kubota, I.; Tomoike, H. and Takatani, S.

5.4.1 Data Acquisitions and Measurement SystemsConcurrent acquisition of hippocampal neurochemical and electrophysiological measures from freely moving rats 1146

Bronzino, J.; LaFrance, A.; Watson; King; Morgane and Kehoe

The design, development and application of a virtual instrument system to assess vibrotactile stimulation to interrupt 1150

neonatal apneaLovell, J.; Eisenfeld, L.; Rosow, E.; Adam, J. and Bronzino, J.

Miniaturized signal conditioning system for kapton-based biopotential and ion-selective electrode arrays 1154

Mundt, C. and Nagle, H.

Wireless, 32-channel, eeg and epilepsy monitoring system 1157

Modarreszadeh, M. and Schmidt, R.

The design of a dsp based portable physiological signal monitor 1161

Lin, C-L; Wu, H-C; Wang, K-C; Young, S-T.; Lee, M-H. and Kuo, T-S.

A dsp based method for audio stimuli generation 1163

Giannini, R.; Tonkovic, S. and Kozina, V.

5.5.1 Brain Mapping and Source Localization

Imaging brain electrical activity using a 3d realistically inhomogeneous head model 1167

He, B.; Wang, Y. and Wu, D.

Weighted minimum-norm source estimation of meg/eeg with music pre-scanning 1170

Iwaki, S. and Ueno, S.

Computing the forward eeg solution of the multishell head model for localizing electrical activity in the brain 1172

Sun, M.

Differential source characterization of event related potentials with the generalized singular value decomposition 1176

Uijen, G.; ter Keurs, M. and Stegeman, D.

Model studies of spreading electrical activities in the brain on meg/eeg inverse problem 1180

Ueno, K. and Ueno, S.

Development of a matlab-based mapping software system 1182

Tamburrino, T.; Nakagawa, M.; Tsai, H-C .; LI, Y. and He, B.

Contents -11


5.5.2 EEG and EpilepsyTime-frequency analysis of high-frequency activity at the start of epileptic seizures 1184

Sun, M.; Scheuer, M.; Qian, S.; Baumann, S.; Adeison, P. and Sclabassi, R.

Detecting eeg bursts after hypoxic-ischemic Injury 1188

Sherman, D.; Bambrink, A.; Walterspacher, D.; Dasika, V.; Ichord, R. and Thakor, N.

Spatial subsampling and interpolation of interictal... 1191

Erlksen, K. and Tucker, D.

Detection of epileptiform activity using wavelet and neural network 1194

Park, H.; Lee, Y.; Lee, D. and Kim, S.

Detection of epileptic events using genetic programming 1198

Marchesl, B.; Lopes, H. and Stelle, A.

Detecting nonlinearity in multichannel epileptic eeg 1202

He, T.; Zheng, C. and Jiang, D.

5.5.3 Brain MonitoringQuantification of brain injury by eeg cepstral distance during transient global ischemia 1205

Hao, L.; Ghodadra, R. and Thakor, N.

Two eeg derived parameters for the measurement of the effects caused by propofol on sedation 1207

Ramirez, N.; Lugo, G. and Medina, V.

Vector auto regressive model selection in multichannel eeg 1211

Herrera, R.; Sun, M.; Dahl, R.; Ryan, N. and Sclabassi, R.

Forward and backward autoregressive modeling of eeg 1215

Kong, X.

Vigilance monitoring from the eeg power spectrum with a neural network 1218

Kirk, B. and LaCourse, J,

Estimation of the dynamics of medium rate eeg transitions 1220

Hiltunen, J.; Karjalainen, P. and Kaipio, J.

5.5.4 MEG Signal ProcessingEstimating evoked dlpole responses by meg/eeg for unknown noise covariance 1224

Dogandzic, A. and Nehorai, A.

A theoretical model of the spatial distribution of eeg/meg tov correlated and uncorrelated sources 1228

DeMunck, J.; Yijn, P.; Verbunt, J.; Faay, M. and Van Puk, B.

Meg/eeg numerical error bounds for a dipole source with a realisstic head model 1233

Muravchik, C. and Nehorai, A.

Estimation of distributed internal electrical sources of meg activities evoked by verbal cognitive tasks 1237

Nakagawa, S.; Ueno, S.; Iwaki, S.; Iramina, K. and Weinberg, H.

Baseline optimization for noise cancellation systems 1240

Vrba, J.

Measurement and source estimation of meg activities associated with a delayed-match paradigm 1244

Nakagawa, S.; Ueno, S.; Yamanami, K.; Iwaki, S.; Ueno, K. and Imada, T.

5.6.1 Decomposition and Spectral TechniquesEstimation of recruitment and firing rate in emg signals 1247

McGill, K.; Kermani, M. and Lateva, Z.

Alternative strategies for motor unit number estimation 1249

Slawnych, M.; Laszlo, C. and Hershler, C.

Decomposition of emg signal by wavelet spectrum matching 1253

Fang, J.; Agarwal, G. and Shahani, B.

Detailed analysis of motor unit activity 1257

Nikolic, M.; Sorensen, J.; Dahl, K. and Krarup, C.

Time-course analysis of motor unit firing patterns in stroke patients using noninvasive multielectrode electromyography 1261

Sun, T-Y.; Chen, J. and Lin, T.

Localyzed muscle fatigue in back muscles: static vs. dynamic contractions 1263

Bonato, P.; Roy, S.; Knaflitz, M. and De Luca, C.

5.6.2 Amplitude Estimation & Biomechanical ApplicationsTheoretic and experimental comparison of root-mean-square and mean-absolute-value electromyogram amplitude 1267

detectors

Clancy, E. and Hogan, N.

Emg amplitude estimation with adaptive smoothing window length 1271

Clancy, E.

A neural network-based surface electromyography motion pattern classifier for the control of prosthesis 1275

Rencheng, W.; Huang, C. and Bo, L.

Low frequency envelopes analysis approach to regulate emg a/k prosthesis 1278

Minor, M.; Gonzalez, C. and Leija, L.

Muscle mechanomyographic & electromyographic signals compared with reference to average propegation velocity of 1282

action potentialHarba, M. and Chee, G.

Relaxation electromechanical delay as a fatigue index in isokinetic concetric movement 1286

Leung, C. and Xiao, S.

Contents-12


5.8.1 Processing Techniques for EEG SignalsOn-line neonatal seizure detection based on multi-scale analysis of eeg using wavelets as a tool 1289

Nagasubramanian, S.; Onaral, B. and Clancy, R.

Wavelet-based analysis of the electroencephalogram under brain ischemia 1293

Czinege, L. and Bloom, M.

Wavelet decomposition method on eeg analysis of g-loc phenomena 1297

Wu, Y.; Sun, H.; Cammarota, J. and Hrebien, L

Multiresolution wavelet analysis of erps for the detection of alzheimer's disease 1301

Polikar, R.; Greer, M.; Ijdpa, L and Keinert, F.

Wavelet-package transformation as a preprocessor of eeg waveforms for classification 1305

Saevarsson, G.; Sveinsson, J. and Benediktsson, J.

5.8.2 Time-Frequency Methods

Time-frequency signal feature extraction and screening of knee joint vibroarthrographic signals using the matching pursuit 1309

method

Krishnan, S.; Rangayyan, R.; Bell, G. and Frank, C.

Modified signal dependent time-frequency analysis for analysis of the simulated first heart sound 1313

Shamsollahi, M.; Senhadji, L.; Durand, L. and Chen, D.

Automatic detection of cardiac cycle based on an adaptive time-frequency analysis of phonocardiogram 1316

Sava, H. and Durand, L-G.

The analysis of eeg signals using time-frequency techniques 1320

Tagluk, M. and English, M.

Time-frequency analysis with eight-figure kernel 1324

Noguchi, Y.; Watanabe, K.; Kashiwagi, E.; Hamada, T.; Mariko, K.; Matsumoto, F. and Sugimoto, S.

Noninvasive detecting the focal cerebral ischemia 1328

Jiwu, Z.; Chongxun, Z.; Weizhong, T.; An, X.; Lei, H. and Thakor, N.

5.0.1 Neural Networks

A large scale memory (lamstar) neural network for medical diagnosis 1332

Graupe, D. and Kordylewski, H.

Investigation of regularized neural networks for the computerized... 1336

Kupinski, M. and Giger, M.

Use of artificial neural networks in the analysis of trabecular bone on digitized radiographs 1340

Giger, M.; Martell, J. and Favas, M.

A competitive learning algorithm for non-zero memory codebook design in encoding of ct sequences 1343

Rezai-Rad, G. and Green, R.

Signal analysis and diagnostic support based on infant tidal breathing patterns 1347

Leonhardt, S.; Almeus, P.; Hofmann, D. and Jsermann, R.

Blind egg separation using ica neural networks 1351

Wang; He and Chen, J.

Application of combined genetic algorithms with cascade correlation to diagnosis of delayed gastric emptying from 1355

electrogastrograms

Lin, Z.; Liang, H.; De, J.; Chen, Z. and McCallum, R.

A comparison of wavelet and fourier descriptors for a neural network chromosome classifier 1359

Sweeney, N.; Becker, R. and Sweeney, B.

Control of left ventricular assist device using artificial neural network 1363

Kim, S.; Kim, H.; Ryu, J. and Chung, S.

Neural network modeling of memory gradient in alzheimer's disease 1367

Hamilton, J. and Micheli-Tzanakou, E.

A neural network model of hidden markov model applied to the auditory periphery for speech processing and recognition 1371

Ye, D.; Songhua; Ying, L. and Krishnan, S.

Memory of neuronal networks: the white noise approach 1377

Bardakjian, B.; Courville, A. and Vigmond, E.

An adaptive threshold learning algorithm for classical conditioning 1380

Clouse, R.; Kim, S. and Waldron, M.

Theory of diffusible messenger and learning in neural networks 1383

Wang, T. and Thakor, N.

Can a neural circuit support multiple signal patterns? 1385

Wolpert, S.

5.0.2 Fuzzy LogicSensor fusion in biomedical systems 1387

Bracio, B.; Horu, W. and Moller, D.

Classification of magnetic resonance images by using genetic algorithms 1391

Dokur, Z.; Olmez, T. and Yazgan, E.

5.0.3 Signal Analysis TechniquesA tentative approach based on wiener filter for the reduction of respiratory effect in pulse signals 1394

Chiu, C-C.andYeh, S-J.

Choice of operating parameters in heart sound removal from bowel sounds using adaptive filtering 1398

Mansy, H. and Sandler, R.

Nonlinear noise reduction for the analysis of hrv signals innormal and heart transplanted subjects 1402

Signorini, M.; Marchetti, F.; Cirigionia, A. and Cerutti, S.

Contents -13


Real-time restoration of biomedical signals under additive noise 1406

Hori, J.; Saitoh, Y. and Kiryu, T.

Application of two non-linear methods for the realization of artifact on trend data 1409

Senhadji, L.; Nikolaidis, N. and Ojaniemi, J.

A transform domain approach to enhancement of ewke 1413

Tahernezhadi, M.; Karthik, R. and Kong, X.

Application of m idi technique for medical audio signal coding 1417

Modegi, T. and lisaku, S.

Optimum window size for time series prediction 1421

Kil, R.; Park, S. and Kim, S.

Directional cross-correlation analysis of neuronal burst firing 1425

Kaneko, H.; Suzuki, S.; Okada, J. and Akamatsu, M.

Snapshot evaluation of fatigue using heart rate variability and superimposed m waves of myoelectric signals during skiing 1428

exercise

Kiryu, T.; Abe, T.; Ushiyama, Y.; Yamada, H. and Okada, M.

Aortic pressure detection simulation for counterpulsation cardiac assistance 1432

Werner, C. and Reisman, S.

Optimization of dysarthric speech recognition 1436

Chen, F. and Kostov, A.

New insights into ventricular tachyarrhythmia onset using heart rate signals decomposition 1440

Thonet, G.; Pruvot, E.; Vesin, J. and Fromer, M.

Computation of time-specified tolerance Intervals for hybrid time series, illustrated for growth hormone 1444

Hermida, R.; Fernandez, J.; Alonso, I.; Ayala, D. and Mojon, A.

5.0.4 Data Acquisition and Measurement SystemsSingle mirror session ing system for free-head vidoe-based eye-gaze detection method 1448

Ohtani, M.; Sugioka, A.; Esaki, S. and Ebisawa, Y.

Evaluation of the electrode-amplifier noise in high resolution biological signal acquisition 1452

Novakov, E.

Novel software for real-time processing of phonocardiography signal 1455

Lukkarinen, S.; Sikio, K.; Noponen, A.; Angeria, A. and Sepponen, R.

Automated behavior recognition using continuous-wave doppler radar and neural networks 1458

Austin, K. and Rose, G.

Nonintrusive method of acquiring bedside intracranial and arsenal pressure signals in ticv 1462

Pasley, R.; Gandhi, J.; Gara, R. and Daley, M.

Estimation of evoked potentials based on the wavelet analysis 1464

Lee, Y.; Kim, S. and Lee, D.

Feature-based stereological volume estimation In sectional images 1468

Toennies, K. and Ozdoba, C.

Sixteen channels holter to eeg signal 1472

Badillo, L.; Leija, L.; Valentino, A.; Gutierrez, J.; Igartua, L.; Hernandez, P. and Alvarado, C.

A method of measuring head movements for the head postures determination in congenital nystagmus 1474

Ramirez, A. and Suaste, E.

Congenital nystagmus waveforms generator and symbolic representation 1478

Suaste, E.; Rodriguez, D.; Leybon, J.; Leija, L and Sossa, H.

Bluntness of saccadic eye movement depending on vigilance states - examination by model simulation 1482

Ueno, A.; Tateyama, T.; Takase, M. and Mlnamitani, H.

Influence of direction of attention upon saccade - contingent visual mislocalization of a flashing target 1485

Fujlwara, K. and Ebisawa, Y.

Kinematic model relating complex 2d smooth pursuit eye movements and purkinje cell firing rate in cerebellar flocculus 1488

and paraflocculus of the rhesus monkey

Suh, M.; Leung, H. and Kettner, R.

5.0.5 EEG and Evoked Potentials Signal AnalysisOn optimal aperiodic stimulation for brainstem auditory evoked potentials estimation 1492

Nait-Ali, A.; Adam, O. and Motsch, J-F.

Classification of evoked potentials using wavelet coefficient features 1496

Zhao, J. and Xiao, S.

Use of a running signal to noise ratio to identify voluntary event related cortical potentials 1500

Rohde, M.; Huggins, J.; BeMent, S.; Levlne, S.; Kushwaha, R.; Schuh, L. and Ross, D.

Spatio-temporal interaction of evoked magnetic fields 1504

Nagarajan, S.; Mahncke, H.; Poeppel, D.; Roberts, T.; Rowley, H. and Merzewich, M.

Estimation of evoked potentials using wavelet transform based time-frequency adaptive filtering 1508

Liu, W.; Qiu, W.; Chan, F.; Lam, F. and Poon, P.

Visual evoked responses via linear frequency modulated stimulation 1511

Schellhorn, K.; Henning, G.; Hoenecke, O. and Husar, P.

Optimal detection of multiharmonic visually evoked potentials 1514

Davila, C; Srebro, R. and Ghaleb, I.

Measurement of temporal frequency characteristics of vep using pseudorandom binary sequence and their correlation with 1518

cerebral blood flow in human visual cortex

Momose, K.; Kimura, Y.; Kiyosawa, M.; Senda, M. and Komiya, K.

Estimation of latency changes of evoked potentials with adaptive phase spectral time delay estimation 1522

Qiu, T.; Kong, X. and Kaufman, B.

Contents -14

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