Document Detail


MEASURING AND REFLECTING DEPTH OF ANAESTHESIA USING WAVELET AND POWER SPECTRAL DENSITY.
MedLine Citation:
PMID:  21606041     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This paper evaluates depth of anaesthesia (DoA) monitoring using a new index. The proposed method preconditions raw EEG data using an adaptive threshold technique to remove spikes and low frequency noise. We also propose an adaptive window length technique to adjust the length of the sliding window. The information pertinent to DoA is then extracted to develop a feature function using discrete wavelet transform and power spectral density. The evaluation demonstrates the new index reflects the patients transition from consciousness to unconsciousness with the induction of anaesthesia in real time.
Authors:
T Nguyen; P Wen; Y Li; R Gray
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-5-19
Journal Detail:
Title:  IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  -     ISSN:  1558-0032     ISO Abbreviation:  -     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-5-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9712259     Medline TA:  IEEE Trans Inf Technol Biomed     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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