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| 001 | 401579 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240516133837.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230818s2024 sz | fo |||| 0|eng d | ||
| 020 | _a9783031326257 | ||
| 024 | 7 |
_a10.1007/978-3-031-32625-7 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aRG628 _b2024 EB |
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| 245 | 0 | 0 |
_aInnovative Technologies and Signal Processing in Perinatal Medicine : _bVolume 2 _cedited by Danilo Pani |
| 250 | _a1st ed. 2024 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2024 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 505 | 0 | _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. | |
| 520 | _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. | ||
| 988 | _aSpringer_Engineering_2024 | ||
| 650 | 7 |
_2embne _9140759 _aDiagnóstico prenatal |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-32625-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b05/2024 _dz _eb _zSI |
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