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Issue No.01 - January (1996 vol.16)
pp: 39-45
ABSTRACT
Intraoperative neurophysiological monitoring provides a real-time control loop around a system composed of the surgeon and the patient in order both to reduce morbidity and to provide a dynamic assessment of the structure-function relationships of the patient's nervous system during surgical manipulations. This requires the acquisition of real-time measurements of central nervous system functions that can be closely correlated with these manipulations. In many instances the proper interpretation of this data requires immediate consultation between the surgeon and a remotely located neurophysiologist. We have designed and implemented a distributed computer system, NeuroNet, to meet three objectives: the acquisition and processing of multimodality data; the integration of this data into various display formats suitable to specific applications; and the presentation of the various data types in such a way as to allow multiple individuals at various distributed sites to consult in meaningful ways concerning the shared data. This system includes the capability to acquire multiple data types on a patient, perform real-time signal processing on the data both locally and remotely, trend the data obtained during surgery both locally and remotely, and provide for text and audio multidirectional communication across the underlying network.
INDEX TERMS
computer-aided surgery, neurophysiological monitoring
CITATION
Robert J. Sclabassi, Donald Krieger, Robert Simon, Ray Lofink, Greg Gross, Donald M. DeLauder, "NueroNet: Collaborative Intraoperative Guidance and Control", IEEE Computer Graphics and Applications, vol.16, no. 1, pp. 39-45, January 1996, doi:10.1109/38.481601
REFERENCES
1. R.J. Sclabassi, R. Lofink, and E. Doyle, "NeuroNet: A Distributed Microprocessor Network for Clinical Neurophysiology," in Microcomputers in Medicine, M.J. Geisow and A.N. Barret, eds., Elsevier Science Publishers, New York, 1987.
2. D.N. Krieger et al., "NeuroNet: Implementation of an Integrated Clinical Neurophysiology System," Medical Instrumentation, Vol. 21, No. 6, 1988, pp. 296-303.
3. D.N. Krieger, G. Burk, and R.J. Sclabassi, "NeuroNet: A Distributed Real-Time System for Monitoring Neurophysiological Function in the Medical Environment," Computer, Vol. 24, No. 3, Mar. 1991, pp. 45-55.
4. A. Geist et al., PVM 3 User's Guide and Reference Manual, available from netlib@ornl.gov.
5. R. Simon, T. Znati, and R.J. Sclabassi, "DIPCS: An Interprocess Communication Architecture for Distributed Multimedia Systems," Multimedia Tools and Applications, Vol. 1, No. 3, 1995, pp. 263-293.
6. R.J. Sclabassi et al., "The MultiMedia Medical Monitoring, Diagnosis, and Consultation Project," Proc. Hawaii Int'l Conf. System Sciences, Vol. III, IEEE Computer Society Press, Los Alamitos, Calif., 1991, pp. 717-723.
7. B. Nardi et al., "Turning Away from Talking Heads: The Use of Video-as-Data in Neurosurgery," Proc. InterCHI (ACM) Addison-Wesley, Reading, N.H., 1993.
8. R. Simon et al., "MultiMedia MedNet: A Medical Diagnosis and Consultation System," Computer, Vol. 28, No. 5, May 1995, pp. 65-73.
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