Guaranteeing Quality in the Diagnosis of Electrocerebral Silence

The quality of the EEG signal is important for the proper diagnosis of electrocerebral silence (ECS). Noise in the EEG signals makes difficult the formation of a precise diagnosis concerning the existence of cerebral activity in patients who are considered to be in potential cerebral death. In an at...

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Bibliographic Details
Published inConference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005 pp. 422 - 425
Main Authors Florence, G., Ferreira, R.P., Hamad, A.P., Calil, S.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Costs
Electroencephalography
Failure analysis
Health and safety
Hospitals
Medical diagnostic imaging
Medical services
Nervous system
Performance analysis
Safety devices
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Summary:The quality of the EEG signal is important for the proper diagnosis of electrocerebral silence (ECS). Noise in the EEG signals makes difficult the formation of a precise diagnosis concerning the existence of cerebral activity in patients who are considered to be in potential cerebral death. In an attempt to guarantee the quality of the diagnosis of ECS, a study was performed at a public hospital in Brazil applying the health care failure and effect analysis (HFMEA) technique. Through this study, problems that interfere with the quality of the EEG exam were identified and subsequently certain actions were proposed to help reduce the risks of these potential problems. These actions certify the functioning of the EEG equipment within the formal standards of safety and quality
ISBN:9780780387102
0780387104
ISSN:1948-3546
1948-3554
DOI:10.1109/CNE.2005.1419649