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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.
computer-aided surgery, neurophysiological monitoring
Robert J. Sclabassi, Ray Lofink, Donald M. DeLauder, Greg Gross, Donald Krieger, Robert Simon, "NueroNet: Collaborative Intraoperative Guidance and Control", IEEE Computer Graphics and Applications, vol. 16, no. , pp. 39-45, January 1996, doi:10.1109/38.481601
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