Microprocessor-Based System for Monitoring Spinal Evoked Potentials During Surgery

Recently there has been considerable interest in the use of evoked potentials for monitoring the functional integrity of the spinal cord during surgical procedures such as spinal fusion. This paper describes a signal processing regimen consisting of ensemble averaging and matched filtering, develope...

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Vydáno v:IEEE transactions on biomedical engineering Ročník BME-33; číslo 10; s. 982 - 985
Hlavní autoři: Gopalan, Ramachandran, Parker, Philip A., Scott, Robert N.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.10.1986
Institute of Electrical and Electronics Engineers
Témata:
Biological and medical sciences
Biomedical Engineering
Computer Systems
Costs
Delay
Evoked Potentials, Somatosensory
Filtering
Humans
Laboratories
Matched filters
Medical sciences
Microcomputers
Monitoring
Monitoring, Physiologic
Orthopedic surgery
Signal processing
Signal to noise ratio
Spinal cord
Spinal Cord - physiology
Spinal Cord - surgery
Surgery
Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases
Human
Spinal cord
Spine
Diseases of the osteoarticular system
Intraoperative
System
Biomedical data processing
Surgery
Arthrodesis
Microprocessor
Somatosensory evoked potential
Monitoring
Biomedical engineering
ISSN:0018-9294
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Shrnutí:Recently there has been considerable interest in the use of evoked potentials for monitoring the functional integrity of the spinal cord during surgical procedures such as spinal fusion. This paper describes a signal processing regimen consisting of ensemble averaging and matched filtering, developed to enhance the signal-to-noise ratio of surface-recorded spinal evoked potentials. This system also allows reliable detection of changes in signal latency, amplitude, and waveshape, the main parameters of interest. A microprocessor-based dedicated system for collection and processing of somatosensory evoked potentials data on-line has been designed. Portability, cost effectiveness, and user interaction aresome of the main characteristics of the system design. The performance of the system has been evaluated in the laboratory with simulated data, and data recorded from human subjects. The system performance meets the design expectations. Arrangements are being made to evaluate the system in the clinical environment.
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ISSN:0018-9294
DOI:10.1109/TBME.1986.325672