DOI: 10.1055/s-00035037

Methods of Information in Medicine

Issue 01 · Volume 33 · 1994 DOI: 10.1055/s-008-38453

Article

1
van Bemmel, J. H.; Rosenfalck, A.; Saranummi, N.: Preface

Synopsis and Editorial Commentary

2
van Bemmel, J. H.: Detection and Parameter Estimation I
22
Zywietz, Chr.: Detection and Parameter Estimation II
39
Cerutti, S.: Detection and Parameter Estimation III
58
Jansen, B. H.: Monitoring and Real-Time Interpretation I
79
Sato, S.: Monitoring and Real-time Interpretation II
101
Saranummi, N.: Model-Based Biosignal Interpretation I
123
Rubel, P.: Model-Based Biosignal Interpretation II
143
Rosenfalck, A.: Integration of Decision-Support Systems and Signal Interpretation

Original Article

4
Hämäläinen, M.; Lipping, T.; Neuvo, Y.: Trends in Nonlinear Signal Processing
10
Thoraval, L.; Carrault, G.; Bellanger, J. J.: Heart Signal Recognition by Hidden Markov Models: The ECG Case
15
Kors, J. A.: Interference Removal with an Improved Incremental Estimation Filter
20
Mizuta, H.; Iida, Y.; Yana, K.; Saul, J. P.; Cohen, R. J.: Change in Impulse Response of Heart Rate to Instantaneous Lung Volume
24
Vanderschoot, J.; Schreur, H. J. W.: AR (q, v) Modeling of Normal Lung Sounds
28
Capitanio, L.; Filligoi, G. C.; Liberati, D.; Cerutti, S.; Babiloni, F.; Fattorini, L.; Urbano, A.: ARX Filtering of Single-Sweep Movement-Related Brain Macropotentials in Mono- and Multi-Channel Recordings
32
Nakamura, M.: Waveform and Latency Estimation from Neuroelectric Signals Using the Bispectrum
35
Lipping, T.; Loula, P.; Jäntti, V.; Yli-Hankala, A: DC-level Detection of Burst-Suppression EEG
41
Schijvenaars, R. J. A.; Kors, J. A.; van Bemmel, J. H.: Reconstruction of Repetitive Signals
46
Yoshida, H.; Yana, K.; Okuyama, F.; Tokoro, Takashi: Time-Varying Properties of Respiratory Fluctuations in Pupil Diameter of Human Eyes
49
Jansen, B. H.; Nyberg, H. N.; Zouridakis, G.: Selective Averaging of Evoked Potentials using Trajectory-Based Clustering
52
Loula, P.; Lipping, T.; Jäntti, V.; Yli-Hankala, A.: Nonlinear Interpretation of Respiratory Sinus Arrhythmia in Anesthesia
60
Dawant, B. M.; Manders, E. J.; Lindstrom, D. P.: Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring
64
Värri, A. O.; Grote, L.; Penzel, T.; Cassel, W.; Peter, J. H.; Hasan, J.: A New Method to Study Blood Pressure, Heart Rate and EEG as a Function of Reaction Time
68
Pottinger, R.: Monitoring Vigilance during Single and Serial Visual Evoked Potentials
72
Anderson, J. McC.; Dempsey, G. J.; Wright, G. T. H.; Cullen, C.; Crawley, M.; McAdams, E. T.; McLaughlin, J.; MacKenzie, G.; Adgey, A. A. J.: Portable Cardiac Mapping Assessment of Acute Ischaemic Injury
76
Nielsen, K.D.; Drewes, A.M.; Svendsen, L.; Bjerregård, K.; Taagholt, S.: Ambulatory Recording and Power Spectral Analysis by Autoregressive Modelling of Polygraphic Sleep Signals in Patients Suffering from Chronic Pain
81
Signorini, M.G.; Cerutti, S.; Guzzetti, S.; Parola, R.: Non-Linear Dynamics of Cardiovascular Variability Signals
85
Mainardi, L. T.; Bianchi, A. M.; Cerutti, S.: On-Line Beat-to-Beat Monitoring of Spectral Parameters of Heart Rate Variability Signal Using a Pole-Tracking Algorithm
89
Porta, A.; Baselli, G.; Montano, N.; Gnecchi-Ruscone, T.; Lombardi, F.; Malliani, A.; Cerutti, S.: Non-Linear Dynamics in the Beat-to-Beat Variability of Sympathetic Activity in Decerebrate Cats
94
Makikawa, M.; Imai, K.; Shindoi, T.; Tanooka, K.; Iizumi, H.; Mitani, H.: Microprocessor-Based Memory Device for Ambulatory Heart Rate and Physical Activity Recording
97
Kodama, H.; Hieda, I.; Kuchinomachi, Y.; Takeichi, H.; Matsumoto, H.: Non-invasive Ultrasonic Urination Sensor for Ambulatory Patient Support
103
Andreassen, S.: Model-Based Biosignal Interpretation
111
Laursen, P.: Event Detection on Patient Monitoring Data Using Causal Probabilistic Networks
116
Sato, S.; Doi, S.; Nomura, T.: Bonhoeffer-van der Pol Oscillator Model of the Sino-Atrial Node: A Possible Mechanism of Heart Rate Regulation
120
Musha, T.; Ivanov, V.; Konyshev, V.: Source Estimation in the Human Brain from EEG Based on the SSB Head Model
125
Yamamoto, M.; Nakao, M.; Mizutani, Y.; Takahashi, T.; Watanabe, K.; Arai, H.; Sasaki, N.: Pharmacological and Model-based Interpretation of Neuronal Dynamics Transitions during Sleep-Waking Cycle
129
Kawahara, K.; Yamauchi, Y.; Niizeki, K.; Yoshioka, T.: Interactions between Respiratory, Cardiac and Stepping Rhythms in Decerebrated Cats: Functional Hierarchical Structures of Biological Oscillators
133
Langford, R. M.; Thomsen, C. E.: The Value to the Anaesthetist of Monitoring Cerebral Activity
139
Jensen, E. W.; Demant, L.; Sanchez, R.: A Model for Estimation of the Pulmonary Capillary Pressure
144
Zywietz, Chr.: A System for Integrated ECG Analysis
148
Fayn, J.; Rubel, P.; Willems, J. L.: Management of Serial ECGs and Control Strategies for the Comparison Process
153
Gade, J.; Rosenfalck, A.; Bendtson, I.: Detection of EEG Patterns Related to Nocturnal Hypoglycemia
157
Jakobsen, E.; Kruse-Andersen, S.; Kolberg, J.: Neural Network for Automatic Analysis of Motility Data