LEADER 05700nam 2201345z- 450 001 9910557601803321 005 20210501 035 $a(CKB)5400000000045385 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68427 035 $a(oapen)doab68427 035 $a(EXLCZ)995400000000045385 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAssessing Complexity in Physiological Systems through Biomedical Signals Analysis 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (296 p.) 311 08$a3-03943-368-7 311 08$a3-03943-369-5 330 $aComplexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at di?erent scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological systems may carry information about the system complexity useful to identify physiological states, monitor health, and predict pathological events. Therefore, complexity analysis of biomedical signals is a rapidly evolving field aimed at extracting information on the physiological systems. This book consists of 16 contributions from authors with a strong scientific background in biomedical signals analysis. It includes reviews on the state-of-the-art of complexity studies in specific medical applications, new methods to improve complexity quantifiers, and novel complexity analyses in physiological or clinical scenarios. It presents a wide spectrum of methods investigating the entropic properties, multifractal structure, self-organized criticality, and information dynamics of biomedical signals touching upon three physiological areas: the cardiovascular system, the central nervous system, the heart-brain interactions. The book is aimed at experienced researchers in signal analysis and presents the latest trends in the complexity methods in physiology and medicine with the hope of inspiring future works advancing this fascinating area of research. 606 $aMathematics & science$2bicssc 606 $aResearch & information: general$2bicssc 610 $aaging in human population 610 $aAlzheimer's disease 610 $aapproximate entropy 610 $aautonomic nervous function 610 $aautonomic nervous system 610 $abaroreflex 610 $abaroreflex sensitivity (BRS) 610 $abiomarker 610 $ablood pressure 610 $abrain 610 $abrain dynamics 610 $abrain functional networks 610 $abrain signals 610 $acardiovascular system 610 $acentral autonomic network 610 $acognitive task 610 $acomplexity 610 $acomplexity analysis 610 $aconditional transfer entropy 610 $acorrelation dimension 610 $across-entropy 610 $adata compression 610 $adetrended fluctuation analysis 610 $adigital volume pulse (DVP) 610 $adynamic functional connectivity 610 $aECG 610 $aectopic beat 610 $aentropy 610 $aevent-related de/synchronization 610 $afactor analysis 610 $afetal heart rate 610 $afNIRS 610 $afractal dimension 610 $afragmentation 610 $afuzzy entropy 610 $aheart rate 610 $aheart rate variability 610 $aheart rate variability (HRV) 610 $ahypobaric hypoxia 610 $ainformation dynamics 610 $ainformation flow 610 $ainterconnectivity 610 $aK-means clustering algorithm 610 $alabor 610 $alargest Lyapunov exponent 610 $alinear prediction 610 $amental arithmetics 610 $amotor imagery 610 $amultifractality 610 $amultiscale 610 $amultiscale complexity 610 $amultivariate time series analysis 610 $anetwork physiology 610 $anonlinear analysis 610 $apartial information decomposition 610 $apenalized regression techniques 610 $apercussion entropy index (PEI) 610 $aphoto-plethysmo-graphy (PPG) 610 $aposture 610 $apreterm 610 $arecurrence quantification analysis 610 $arefined composite multiscale entropy 610 $arehabilitation medicine 610 $arelative consistency 610 $aSampen 610 $asample entropy 610 $aself-organized criticality 610 $aself-similarity 610 $asEMG 610 $asingle-channel analysis 610 $aState-space models 610 $astatic functional connectivity 610 $asupport vector machines classification 610 $atime series analysis 610 $avasovagal syncope 610 $avector autoregressive model 610 $avector quantization 610 $aZipf's law 615 7$aMathematics & science 615 7$aResearch & information: general 700 $aCastiglioni$b Paolo$4edt$01319355 702 $aFaes$b Luca$4edt 702 $aValenza$b Gaetano$4edt 702 $aCastiglioni$b Paolo$4oth 702 $aFaes$b Luca$4oth 702 $aValenza$b Gaetano$4oth 906 $aBOOK 912 $a9910557601803321 996 $aAssessing Complexity in Physiological Systems through Biomedical Signals Analysis$93033816 997 $aUNINA