Literature DB >> 8258440

EView--a workstation-based viewer for intensive clinical electroencephalography.

T F Collura1, E C Jacobs, D S Braun, R C Burgess.   

Abstract

We describe a workstation-based EEG viewer that satisfies the requirements for high-volume clinical EEG review. It currently supports two 24-h four-bed epilepsy monitoring units and a network of routine, intraoperative, and intensive care monitors, providing paperless review of over 5000 pages/day by a staff of clinical neurophysiologists. The design takes advantage of the development environment, processing and graphics resources, and networking capabilities of high-performance UNIX workstations. The user interface and operational infrastructure have been tailored to the demands of clinical neurophysiologists requiring rapid access to large volumes of EEG waveform data in a large clinical neurophysiology laboratory. This paper describes the functional requirements, system architecture, and implementation details of the current system.

Entities:  

Mesh:

Year:  1993        PMID: 8258440     DOI: 10.1109/10.238458

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Internet access to a medical case repository for teaching and analysis.

Authors:  H Kindler; T M Fliedner; D Densow
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

2.  Polysomnographic pattern recognition for automated classification of sleep-waking states in infants.

Authors:  P A Estévez; C M Held; C A Holzmann; C A Perez; J P Pérez; J Heiss; M Garrido; P Peirano
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

3.  Expert-system classification of sleep/waking states in infants.

Authors:  C A Holzmann; C A Pérez; C M Held; M San Martín; F Pizarro; J P Pérez; M Garrido; P Peirano
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.