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 processingadvances...

Naik, Ganesh.

Biomedical signal processingadvances in theory, algorithms and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biomedical signal processingedited by Ganesh Naik.
其他題名:	advances in theory, algorithms and applications /
其他作者:	Naik, Ganesh.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	x, 432 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Signal processingDigital techniques.
電子資源:	https://doi.org/10.1007/978-981-13-9097-5
ISBN:	9789811390975$q(electronic bk.)

Biomedical signal processingadvances in theory, algorithms and applications /
Biomedical signal processingadvances in theory, algorithms and applications /[electronic resource] :edited by Ganesh Naik. - Singapore :Springer Singapore :2020. - x, 432 p. :ill., digital ;24 cm. - Series in bioengineering,2196-8861. - Series in bioengineering..

Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs-A case study -- An EEG brain-computer interface to classify motor imagery signals.

This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.

ISBN: 9789811390975$q(electronic bk.)

Standard No.: 10.1007/978-981-13-9097-5doiSubjects--Topical Terms:

182126
Signal processing
--Digital techniques.

LC Class. No.: TK5102.9 / .B566 2019

Dewey Class. No.: 621.3822

Biomedical signal processingadvances in theory, algorithms and applications /
LDR:02353nmm a2200337 a 4500 001 574109
003 DE-He213
005 20200316150040.0
006 m d
007 cr nn 008maaau
008 201007s2020 si s 0 eng d
020 $a 9789811390975$q(electronic bk.)
020 $a 9789811390968$q(paper)
024 7 $a 10.1007/978-981-13-9097-5 $2 doi
035 $a 978-981-13-9097-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5102.9 $b .B566 2019
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 2019
245 0 0 $a Biomedical signal processing $h [electronic resource] : $b advances in theory, algorithms and applications / $c edited by Ganesh Naik.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a x, 432 p. : $b ill., digital ; $c 24 cm.
490 1 $a Series in bioengineering, $x 2196-8861
505 0 $a Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs-A case study -- An EEG brain-computer interface to classify motor imagery signals.
520 $a This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.
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 Pattern Recognition. $3 273706
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Naik, Ganesh. $3 861678
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Series in bioengineering. $3 676072
856 4 0 $u https://doi.org/10.1007/978-981-13-9097-5
950 $a Engineering (Springer-11647)