東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Innovative technologies and signal processing in perinatal medicine.. Volume 2

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Innovative technologies and signal processing in perinatal medicine./ edited by Danilo Pani.
其他作者:	Pani, Danilo.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	x, 242 p. :ill., digital ;24 cm.
內容註:	Preface -- 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.
Contained By:	Springer Nature eBook
標題:	Fetal monitoring. -
電子資源:	https://doi.org/10.1007/978-3-031-32625-7
ISBN:	9783031326257

Innovative technologies and signal processing in perinatal medicine.. Volume 2
Innovative technologies and signal processing in perinatal medicine.Volume 2[electronic resource] /edited by Danilo Pani. - Cham :Springer Nature Switzerland :2024. - x, 242 p. :ill., digital ;24 cm.

Preface -- 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.

This 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 of perinatal 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.

ISBN: 9783031326257

Standard No.: 10.1007/978-3-031-32625-7doiSubjects--Topical Terms:

658033
Fetal monitoring.

LC Class. No.: RG628

Dewey Class. No.: 618.32075

Innovative technologies and signal processing in perinatal medicine.. Volume 2
LDR:03411nmm a2200325 a 4500 001 2367777
003 DE-He213
005 20230818131821.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031326257 $q (electronic bk.)
020 $a 9783031326240 $q (paper)
024 7 $a 10.1007/978-3-031-32625-7 $2 doi
035 $a 978-3-031-32625-7
040 $a GP $c GP
041 0 $a eng
050 4 $a RG628
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 618.32075 $2 23
090 $a RG628 $b .I58 2024
245 0 0 $a Innovative technologies and signal processing in perinatal medicine. $n Volume 2 $h [electronic resource] / $c edited by Danilo Pani.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a x, 242 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- 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 $a This 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 of perinatal 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.
650 0 $a Fetal monitoring. $3 658033
650 0 $a Perinatology. $3 658035
650 0 $a Pregnant women. $3 872651
650 1 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Biomedical Devices and Instrumentation. $3 3595636
650 2 4 $a Signal, Speech and Image Processing. $3 3592727
650 2 4 $a Biomedical Research. $3 851895
650 2 4 $a Medical and Health Technologies. $3 3595637
700 1 $a Pani, Danilo. $3 3486914
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-32625-7
950 $a Engineering (SpringerNature-11647)