Matches in SemOpenAlex for { <https://semopenalex.org/work/W3201801160> ?p ?o ?g. }
- W3201801160 abstract "Arterial baroreflex assessment using vasoactive substances enables investigators to collect data pairs over a wide range of blood pressures and reflex reactions. These data pairs relate intervals between heartbeats or sympathetic neural activity to blood pressure values. In an X-Y plot the data points scatter around a sigmoidal curve. After fitting the parameters of a sigmoidal function to the data, the graph's characteristics represent a rather comprehensive quantitative reflex description. Variants of the 4-parameter Boltzmann sigmoidal equation are widely used for curve fitting. Unfortunately, their 'slope parameters' do not correspond to the graph's actual slope which complicates the analysis and bears the risk of misreporting. We propose a modified Boltzmann sigmoidal function with preserved goodness of fit whose parameters are one-to-one equivalent to the sigmoidal curve's characteristics." @default.
- W3201801160 created "2021-10-11" @default.
- W3201801160 creator A5048133606 @default.
- W3201801160 creator A5061044988 @default.
- W3201801160 creator A5064723387 @default.
- W3201801160 creator A5076447212 @default.
- W3201801160 creator A5080742123 @default.
- W3201801160 creator A5089388570 @default.
- W3201801160 date "2021-09-27" @default.
- W3201801160 modified "2023-10-12" @default.
- W3201801160 title "Baroreflex Curve Fitting Using a WYSIWYG Boltzmann Sigmoidal Equation" @default.
- W3201801160 cites W1518343245 @default.
- W3201801160 cites W1549947689 @default.
- W3201801160 cites W1967525341 @default.
- W3201801160 cites W1969793915 @default.
- W3201801160 cites W1991295045 @default.
- W3201801160 cites W2001807212 @default.
- W3201801160 cites W2002812962 @default.
- W3201801160 cites W2012388061 @default.
- W3201801160 cites W2020680347 @default.
- W3201801160 cites W2028084029 @default.
- W3201801160 cites W2031221520 @default.
- W3201801160 cites W2032845384 @default.
- W3201801160 cites W2042987449 @default.
- W3201801160 cites W2063344290 @default.
- W3201801160 cites W2066914029 @default.
- W3201801160 cites W2068847635 @default.
- W3201801160 cites W2070348117 @default.
- W3201801160 cites W2073414252 @default.
- W3201801160 cites W2093657455 @default.
- W3201801160 cites W2094875635 @default.
- W3201801160 cites W2095347953 @default.
- W3201801160 cites W2105021010 @default.
- W3201801160 cites W2107341396 @default.
- W3201801160 cites W2123593024 @default.
- W3201801160 cites W2147994695 @default.
- W3201801160 cites W2158316475 @default.
- W3201801160 cites W2159597937 @default.
- W3201801160 cites W2159737590 @default.
- W3201801160 cites W2165522125 @default.
- W3201801160 cites W2186560305 @default.
- W3201801160 cites W2201778701 @default.
- W3201801160 cites W2236201726 @default.
- W3201801160 cites W2278360218 @default.
- W3201801160 cites W2405165230 @default.
- W3201801160 cites W2416249208 @default.
- W3201801160 cites W2473293072 @default.
- W3201801160 cites W2910314743 @default.
- W3201801160 cites W3120220251 @default.
- W3201801160 cites W4233339535 @default.
- W3201801160 cites W4236010642 @default.
- W3201801160 doi "https://doi.org/10.3389/fnins.2021.697582" @default.
- W3201801160 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8519000" @default.
- W3201801160 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34658756" @default.
- W3201801160 hasPublicationYear "2021" @default.
- W3201801160 type Work @default.
- W3201801160 sameAs 3201801160 @default.
- W3201801160 citedByCount "4" @default.
- W3201801160 countsByYear W32018011602022 @default.
- W3201801160 countsByYear W32018011602023 @default.
- W3201801160 crossrefType "journal-article" @default.
- W3201801160 hasAuthorship W3201801160A5048133606 @default.
- W3201801160 hasAuthorship W3201801160A5061044988 @default.
- W3201801160 hasAuthorship W3201801160A5064723387 @default.
- W3201801160 hasAuthorship W3201801160A5076447212 @default.
- W3201801160 hasAuthorship W3201801160A5080742123 @default.
- W3201801160 hasAuthorship W3201801160A5089388570 @default.
- W3201801160 hasBestOaLocation W32018011601 @default.
- W3201801160 hasConcept C105795698 @default.
- W3201801160 hasConcept C118615104 @default.
- W3201801160 hasConcept C126838900 @default.
- W3201801160 hasConcept C132525143 @default.
- W3201801160 hasConcept C134306372 @default.
- W3201801160 hasConcept C14036430 @default.
- W3201801160 hasConcept C154945302 @default.
- W3201801160 hasConcept C167651023 @default.
- W3201801160 hasConcept C184389593 @default.
- W3201801160 hasConcept C191237925 @default.
- W3201801160 hasConcept C2777953023 @default.
- W3201801160 hasConcept C33923547 @default.
- W3201801160 hasConcept C41008148 @default.
- W3201801160 hasConcept C50644808 @default.
- W3201801160 hasConcept C71924100 @default.
- W3201801160 hasConcept C78458016 @default.
- W3201801160 hasConcept C81388566 @default.
- W3201801160 hasConcept C84393581 @default.
- W3201801160 hasConcept C86803240 @default.
- W3201801160 hasConceptScore W3201801160C105795698 @default.
- W3201801160 hasConceptScore W3201801160C118615104 @default.
- W3201801160 hasConceptScore W3201801160C126838900 @default.
- W3201801160 hasConceptScore W3201801160C132525143 @default.
- W3201801160 hasConceptScore W3201801160C134306372 @default.
- W3201801160 hasConceptScore W3201801160C14036430 @default.
- W3201801160 hasConceptScore W3201801160C154945302 @default.
- W3201801160 hasConceptScore W3201801160C167651023 @default.
- W3201801160 hasConceptScore W3201801160C184389593 @default.
- W3201801160 hasConceptScore W3201801160C191237925 @default.
- W3201801160 hasConceptScore W3201801160C2777953023 @default.
- W3201801160 hasConceptScore W3201801160C33923547 @default.
- W3201801160 hasConceptScore W3201801160C41008148 @default.