國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Biomedical signal processinginnovati...

Obeid, Iyad.

Biomedical signal processinginnovation and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biomedical signal processingedited by Iyad Obeid, Ivan Selesnick, Joseph Picone.
其他題名:	innovation and applications /
其他作者:	Obeid, Iyad.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	viii, 261 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Signal processingDigital techniques.
電子資源:	https://doi.org/10.1007/978-3-030-67494-6
ISBN:	9783030674946$q(electronic bk.)

Biomedical signal processinginnovation and applications /
Biomedical signal processinginnovation and applications /[electronic resource] :edited by Iyad Obeid, Ivan Selesnick, Joseph Picone. - Cham :Springer International Publishing :2021. - viii, 261 p. :ill., digital ;24 cm.

Chapter 1. Multi-CLASS fNIRS Classification of Motor Execution Tasks with Application to Brain Computer Interfaces -- Chapter 2. A Comparative Study of End-to-End Discriminative Deep Learning Models for Knee Joint Kinematic Time Series Classification -- Chapter 3. Nonlinear Smoothing of Data with Random Gaps and Outliers (DRAGO) Improves Estimation of Circadian Rhythm -- Chapter 4. Wearable Smart Garment Devices for Passive Biomedical Monitoring -- Chapter 5. Spatial Distribution of Seismocardiographic Signals -- Chapter 6. Noninvasive Vascular Blood Sound Monitoring Through Flexible Pvdf Microphone -- Chapter 7. Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning -- Chapter 8. Objective evaluation metrics for automatic classification of EEG events.

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. Presents an interdisciplinary look at research trends in signal processing and biomedicine; Promotes collaboration between healthcare practitioners and signal processing researchers; Includes tutorials and examples of successful applications.

ISBN: 9783030674946$q(electronic bk.)

Standard No.: 10.1007/978-3-030-67494-6doiSubjects--Topical Terms:

182126
Signal processing
--Digital techniques.

LC Class. No.: TK5102.9 / .B566 2021

Dewey Class. No.: 621.3822

Biomedical signal processinginnovation and applications /
LDR:02874nmm a2200325 a 4500 001 597456
003 DE-He213
005 20210723112253.0
006 m d
007 cr nn 008maaau
008 211019s2021 sz s 0 eng d
020 $a 9783030674946$q(electronic bk.)
020 $a 9783030674939$q(paper)
024 7 $a 10.1007/978-3-030-67494-6 $2 doi
035 $a 978-3-030-67494-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5102.9 $b .B566 2021
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 621.3822 $2 23
090 $a TK5102.9 $b .B615 2021
245 0 0 $a Biomedical signal processing $h [electronic resource] : $b innovation and applications / $c edited by Iyad Obeid, Ivan Selesnick, Joseph Picone.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a viii, 261 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1. Multi-CLASS fNIRS Classification of Motor Execution Tasks with Application to Brain Computer Interfaces -- Chapter 2. A Comparative Study of End-to-End Discriminative Deep Learning Models for Knee Joint Kinematic Time Series Classification -- Chapter 3. Nonlinear Smoothing of Data with Random Gaps and Outliers (DRAGO) Improves Estimation of Circadian Rhythm -- Chapter 4. Wearable Smart Garment Devices for Passive Biomedical Monitoring -- Chapter 5. Spatial Distribution of Seismocardiographic Signals -- Chapter 6. Noninvasive Vascular Blood Sound Monitoring Through Flexible Pvdf Microphone -- Chapter 7. Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning -- Chapter 8. Objective evaluation metrics for automatic classification of EEG events.
520 $a This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. Presents an interdisciplinary look at research trends in signal processing and biomedicine; Promotes collaboration between healthcare practitioners and signal processing researchers; Includes tutorials and examples of successful applications.
650 0 $a Signal processing $x Digital techniques. $3 182126
650 0 $a Biomedical engineering. $3 190330
650 1 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Health Informatics. $3 274212
650 2 4 $a Imaging / Radiology. $3 274007
700 1 $a Obeid, Iyad. $3 859763
700 1 $a Selesnick, Ivan. $3 859764
700 1 $a Picone, Joseph. $3 859765
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-67494-6
950 $a Biomedical and Life Sciences (SpringerNature-11642)