| MEASURING AND REFLECTING DEPTH OF ANAESTHESIA USING WAVELET AND POWER SPECTRAL DENSITY. | |
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MedLine Citation:
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PMID: 21606041 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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T Nguyen; P Wen; Y Li; R Gray |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-5-19 |
Journal Detail:
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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:
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Created Date: 2011-5-24 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9712259 Medline TA: IEEE Trans Inf Technol Biomed Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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Descriptor/Qualifier:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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