國立虎尾科技大學 |

Biomedical Engineering and Computational Intelligence = Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Biomedical Engineering and Computational Intelligence/ edited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi.
其他題名:	Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /
其他作者:	Joshi, Amit.
面頁冊數:	XIV, 112 p. 51 illus., 33 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer-Aided Engineering (CAD, CAE) and Design. -
電子資源:	https://doi.org/10.1007/978-3-030-21726-6
ISBN:	9783030217266

Biomedical Engineering and Computational Intelligence = Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /
Biomedical Engineering and Computational IntelligenceProceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /[electronic resource] :edited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi. - 1st ed. 2020. - XIV, 112 p. 51 illus., 33 illus. in color.online resource. - Lecture Notes in Computational Vision and Biomechanics,322212-9391 ;. - Lecture Notes in Computational Vision and Biomechanics,19.

Chapter 1. Bioinspired Approach to Inverse Kinematic Problem -- Chapter 2. Assessment of Two Musculoskeletal Models in Children with Crouch Gait -- Chapter 3. Low-Complexity Classi cation Algorithm to Identify Drivers' Stress using Electrodermal Activity (EDA) Measurements -- Chapter 4. 3D Model of Blood Flow for Magnetohydrodynamics Study -- Chapter 5. Nonlinear Autoregressive Model Design and Optimization based on ANN for the Prediction of Chaotic Patterns in EEG Time Series -- Chapter 6. Using a coupled MDOF biodynamic model to study the effect of curvature of spine on lumbar spine compression under axial loads -- Chapter 7. Applied logics to develop ontology model of complex-structured domains: organic chemistry and biochemistry -- Chapter 8. Analysis of HD-sEMG signals using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing -- Chapter 9. Effect of reduced point NIR spectroscopy on glucose prediction error in human blood tissue -- Chapter 10. Data augmentation for Signature Images in On-line Verification Systems.

This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes ten chapters, which were selected upon a rigorous peer-review process and presented at the 1st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30–31, 2018.

ISBN: 9783030217266

Standard No.: 10.1007/978-3-030-21726-6doiSubjects--Topical Terms:

669928
Computer-Aided Engineering (CAD, CAE) and Design.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

Biomedical Engineering and Computational Intelligence = Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /
LDR:03252nam a22004335i 4500 001 1028748
003 DE-He213
005 20200701094727.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030217266 $9 978-3-030-21726-6
024 7 $a 10.1007/978-3-030-21726-6 $2 doi
035 $a 978-3-030-21726-6
050 4 $a R856-857
050 4 $a HC79.E5
050 4 $a GE220
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 610.28 $2 23
245 1 0 $a Biomedical Engineering and Computational Intelligence $h [electronic resource] : $b Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 / $c edited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XIV, 112 p. 51 illus., 33 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Computational Vision and Biomechanics, $x 2212-9391 ; $v 32
505 0 $a Chapter 1. Bioinspired Approach to Inverse Kinematic Problem -- Chapter 2. Assessment of Two Musculoskeletal Models in Children with Crouch Gait -- Chapter 3. Low-Complexity Classi cation Algorithm to Identify Drivers' Stress using Electrodermal Activity (EDA) Measurements -- Chapter 4. 3D Model of Blood Flow for Magnetohydrodynamics Study -- Chapter 5. Nonlinear Autoregressive Model Design and Optimization based on ANN for the Prediction of Chaotic Patterns in EEG Time Series -- Chapter 6. Using a coupled MDOF biodynamic model to study the effect of curvature of spine on lumbar spine compression under axial loads -- Chapter 7. Applied logics to develop ontology model of complex-structured domains: organic chemistry and biochemistry -- Chapter 8. Analysis of HD-sEMG signals using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing -- Chapter 9. Effect of reduced point NIR spectroscopy on glucose prediction error in human blood tissue -- Chapter 10. Data augmentation for Signature Images in On-line Verification Systems.
520 $a This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes ten chapters, which were selected upon a rigorous peer-review process and presented at the 1st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30–31, 2018.
650 2 4 $a Computer-Aided Engineering (CAD, CAE) and Design. $3 669928
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 1 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 0 $a Computer-aided engineering. $3 560192
650 0 $a Artificial intelligence. $3 559380
650 0 $a Optical data processing. $3 639187
650 0 $a Biomedical engineering. $3 588770
700 1 $a Joshi, Amit. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1246887
700 1 $a Dey, Nilanjan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1110380
700 1 $a Tavares, João Manuel R. S. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1254919
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030217259
776 0 8 $i Printed edition: $z 9783030217273
776 0 8 $i Printed edition: $z 9783030217280
830 0 $a Lecture Notes in Computational Vision and Biomechanics, $x 2212-9391 ; $v 19 $3 1254920
856 4 0 $u https://doi.org/10.1007/978-3-030-21726-6
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)