1.

Record Nr.

UNINA9910337649103321

Autore

Dey Nilanjan

Titolo

Acoustic Sensors for Biomedical Applications / / by Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-319-92225-4

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (XVII, 55 p. 13 illus.)

Collana

SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, , 2191-737X

Disciplina

621.382

Soggetti

Signal processing

Image processing

Speech processing systems

Natural language processing (Computer science)

Biomedical engineering

Radiology

Computational linguistics

Bioinformatics

Signal, Image and Speech Processing

Natural Language Processing (NLP)

Biomedical Engineering and Bioengineering

Ultrasound

Computational Linguistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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

Sommario/riassunto

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. .