Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000875710> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2000875710 endingPage "6" @default.
- W2000875710 startingPage "1" @default.
- W2000875710 abstract "Proper anesthesia is very important for patients to get through surgery without pain and then avoid some other problems. By monitoring the depth of sedation for a patient, it could help a clinician to provide a suitable amount of anesthetic and other clinical treatment. In hospital, a patient is usually monitored by different types of biological systems. To predict the depth of sedation from biological signals is able to ease patient monitoring services. In this study, continuous restricted Boltzmann machines based neural network is proposed to predict the depth of sedation. The biological signals including heart rate, blood pressure, peripheral capillary oxygen saturation, and body weight are selected as analytic features. To improve the accuracy, the signals related to the state of anesthesia including fractional anesthetic concentration, end-tidal carbon dioxide, fraction inspiration carbon dioxide, and minimum alveolar concentration are also adopted in this study. Using minimizing contrastive divergence, a continuous restricted Boltzmann machine is trained and then used to predict the depth of sedation. The experimental results showed that the proposed approach outperforms feed-forward neural network and modular neural network. Besides, it would be able to ease patient monitoring services by using biological systems and promote healthcare quality." @default.
- W2000875710 created "2016-06-24" @default.
- W2000875710 creator A5025438308 @default.
- W2000875710 creator A5052539146 @default.
- W2000875710 creator A5076413907 @default.
- W2000875710 date "2014-01-01" @default.
- W2000875710 modified "2023-10-16" @default.
- W2000875710 title "Prediction of Depth of Sedation from Biological Signals Using Continuous Restricted Boltzmann Machine" @default.
- W2000875710 cites W1987527556 @default.
- W2000875710 cites W2004334788 @default.
- W2000875710 cites W2005414334 @default.
- W2000875710 cites W2085779969 @default.
- W2000875710 cites W2100495367 @default.
- W2000875710 cites W2103030897 @default.
- W2000875710 cites W2103369448 @default.
- W2000875710 cites W2104425886 @default.
- W2000875710 cites W2107544524 @default.
- W2000875710 cites W2112246162 @default.
- W2000875710 cites W2130313186 @default.
- W2000875710 cites W2150631667 @default.
- W2000875710 cites W2153842705 @default.
- W2000875710 cites W2158651266 @default.
- W2000875710 cites W2164027900 @default.
- W2000875710 cites W4211225621 @default.
- W2000875710 cites W4235470077 @default.
- W2000875710 cites W4242722344 @default.
- W2000875710 doi "https://doi.org/10.1155/2014/189040" @default.
- W2000875710 hasPublicationYear "2014" @default.
- W2000875710 type Work @default.
- W2000875710 sameAs 2000875710 @default.
- W2000875710 citedByCount "1" @default.
- W2000875710 countsByYear W20008757102015 @default.
- W2000875710 crossrefType "journal-article" @default.
- W2000875710 hasAuthorship W2000875710A5025438308 @default.
- W2000875710 hasAuthorship W2000875710A5052539146 @default.
- W2000875710 hasAuthorship W2000875710A5076413907 @default.
- W2000875710 hasBestOaLocation W20008757101 @default.
- W2000875710 hasConcept C154945302 @default.
- W2000875710 hasConcept C192576344 @default.
- W2000875710 hasConcept C199354608 @default.
- W2000875710 hasConcept C2776814716 @default.
- W2000875710 hasConcept C2778162923 @default.
- W2000875710 hasConcept C41008148 @default.
- W2000875710 hasConcept C42219234 @default.
- W2000875710 hasConcept C50644808 @default.
- W2000875710 hasConcept C71924100 @default.
- W2000875710 hasConceptScore W2000875710C154945302 @default.
- W2000875710 hasConceptScore W2000875710C192576344 @default.
- W2000875710 hasConceptScore W2000875710C199354608 @default.
- W2000875710 hasConceptScore W2000875710C2776814716 @default.
- W2000875710 hasConceptScore W2000875710C2778162923 @default.
- W2000875710 hasConceptScore W2000875710C41008148 @default.
- W2000875710 hasConceptScore W2000875710C42219234 @default.
- W2000875710 hasConceptScore W2000875710C50644808 @default.
- W2000875710 hasConceptScore W2000875710C71924100 @default.
- W2000875710 hasFunder F4320322795 @default.
- W2000875710 hasLocation W20008757101 @default.
- W2000875710 hasOpenAccess W2000875710 @default.
- W2000875710 hasPrimaryLocation W20008757101 @default.
- W2000875710 hasRelatedWork W2240647871 @default.
- W2000875710 hasRelatedWork W2352921749 @default.
- W2000875710 hasRelatedWork W2358288014 @default.
- W2000875710 hasRelatedWork W2461687944 @default.
- W2000875710 hasRelatedWork W2892911634 @default.
- W2000875710 hasRelatedWork W2965116340 @default.
- W2000875710 hasRelatedWork W3044458868 @default.
- W2000875710 hasRelatedWork W3207503229 @default.
- W2000875710 hasRelatedWork W4226156879 @default.
- W2000875710 hasRelatedWork W4376486422 @default.
- W2000875710 hasVolume "2014" @default.
- W2000875710 isParatext "false" @default.
- W2000875710 isRetracted "false" @default.
- W2000875710 magId "2000875710" @default.
- W2000875710 workType "article" @default.