04246nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172072001600185072002300201072001500224245013300239250001800372264006900390300004100459336002600500337002600526338003600552347002400588505114800612520129101760650002803051650003003079650003103109650003003140650005403170650005103224650004803275650003203323650004403355700008203399710003403481773002603515776003603541776003603577776003603613856004603649912001403695912001403709999001703723978-3-031-32625-7DE-He21320251030110811.0cr nn 008mamaa230818s2024    sz |    s    |||| 0|eng d  a97830313262579978-3-031-32625-77 a10.1007/978-3-031-32625-72doi 4aR856-857 7aMQW2bicssc 7aTEC0590002bisacsh 7aMQW2thema10aInnovative Technologies and Signal Processing in Perinatal Medicineh[electronic resource] :bVolume 2 /cedited by Danilo Pani.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 242 p. 1 illus.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aPreface -- Foreword -- Fetal Growth Monitoring and Issues -- Medico-legal Aspects of Perinatal Asphyxia: A Conundrum Waiting for Clinical and Technical Solutions -- 2020 Guidelines on Neonatal Resuscitation: Evidence and Gaps of Knowledge -- Issues of Medical Liability (and More) Related to the Use of New Technologies -- Clinical Instrumental Methods for the Diagnosis of Congenital Cardiomyophaties and Arrhythmias -- Big Data for Clinical Decision-support in Labor: Challenges and Future Directions -- Doppler-Based Models for Estimating Fetal Myocardial Performances -- CTG Feature Detection and Fetal State Estimation Using Signal Processing and Machine Learning -- Principles of Fetal Electrocardiography -- Kalman Filters for Fetal Electrocardiography Analysis -- Fundamentals of Blind Source Separation for Fetal Electrocardiography Research -- Nonlinear-type Time-frequency Analysis and Its Application to Fetal ECG -- Information Theory for the Analysis of Fetal Heart Rate Variability -- Fetal Heart Rate Analysis With Gaussian Processes -- Open Data: Valuable Resources and Opportunities for the Researchers in Perinatal Medicine.  aThis book focuses on current and innovative technologies in perinatal medicine, specifically the period from the third trimester of pregnancy up to one month after birth. It follows the Second International Summer School on Technologies and Signal Processing in Perinatal Medicine (TSPPM 2021) and includes a number of master lectures presented at the school. The book aims to provide an overview of current data processing and machine learning approaches, with clear indications and exhaustive presentations on research trends in the field written by top scientists and researchers. It also presents the underlying clinical aspects and ethico-legal issues associated with the adoption of these technologies, particularly artificial intelligence tools. Innovative Technologies and Signal Processing in Perinatal Medicine: Volume 2 provides students, researchers, and practitioners with the knowledge necessary to carry out basic and advanced research on the development ofperinatal medicine medical devices with a particular emphasis on software design and development. Presents current and innovative technologies for fetal and neonatal monitoring; Emphasis on both technology/signal processing and clinical/ethico-legal aspects; Offers a clear didactic approach to the subject matter. 0aBiomedical engineering. 0aSignal processing.965628 0aMedicinexResearch.962598 0aBiologyxResearch.96562914aBiomedical Engineering and Bioengineering.96563024aBiomedical Devices and Instrumentation.96563124aSignal, Speech and Image Processing.96563224aBiomedical Research.96563324aMedical and Health Technologies.9656341 aPani, Danilo.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9656352 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303132624008iPrinted edition:z978303132626408iPrinted edition:z978303132627140uhttps://doi.org/10.1007/978-3-031-32625-7  aZDB-2-ENG  aZDB-2-SXE  c56235d56235