國立虎尾科技大學 |

Acoustic Sensors for Biomedical Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Acoustic Sensors for Biomedical Applications/ by Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen.
Author:	Dey, Nilanjan.
other author:	Ashour, Amira S.
Description:	XVII, 55 p. 13 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Signal processing. -
Online resource:	https://doi.org/10.1007/978-3-319-92225-6
ISBN:	9783319922256

Acoustic Sensors for Biomedical Applications
Dey, Nilanjan.

Acoustic Sensors for Biomedical Applications[electronic resource] /by Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen. - 1st ed. 2019. - XVII, 55 p. 13 illus.online resource. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,2191-737X. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,.

Chapter1: Introduction -- Chapter2: Biomedical Signals -- Chapter3: Acoustic Wave Technology -- Chapter4: Acoustic Sensors -- Chapter5: Acoustic Sensors in Biomedical Applications -- Chapter6: Conclusion.

In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare. .

ISBN: 9783319922256

Standard No.: 10.1007/978-3-319-92225-6doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Acoustic Sensors for Biomedical Applications
LDR:02598nam a22004215i 4500 001 1016023
003 DE-He213
005 20200702113700.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783319922256 $9 978-3-319-92225-6
024 7 $a 10.1007/978-3-319-92225-6 $2 doi
035 $a 978-3-319-92225-6
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Dey, Nilanjan. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1110380
245 1 0 $a Acoustic Sensors for Biomedical Applications $h [electronic resource] / $c by Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XVII, 55 p. 13 illus. $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 SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, $x 2191-737X
505 0 $a Chapter1: Introduction -- Chapter2: Biomedical Signals -- Chapter3: Acoustic Wave Technology -- Chapter4: Acoustic Sensors -- Chapter5: Acoustic Sensors in Biomedical Applications -- Chapter6: Conclusion.
520 $a In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare. .
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Natural language processing (Computer science). $3 802180
650 0 $a Biomedical engineering. $3 588770
650 0 $a Radiology. $3 673943
650 0 $a Computational linguistics. $3 555811
650 0 $a Bioinformatics. $3 583857
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Natural Language Processing (NLP). $3 1254293
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Ultrasound. $3 669877
650 2 4 $a Computational Linguistics. $3 670080
700 1 $a Ashour, Amira S. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1250537
700 1 $a Mohamed, Waleed S. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1310329
700 1 $a Nguyen, Nhu Gia. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1282801
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319922249
776 0 8 $i Printed edition: $z 9783319922263
830 0 $a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, $x 2191-737X $3 1255129
856 4 0 $u https://doi.org/10.1007/978-3-319-92225-6
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)