Acoustic Sensors for Biomedical Applications

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Acoustic Sensors for Biomedical Applications by Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen, Springer International Publishing
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Author: Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen ISBN: 9783319922256
Publisher: Springer International Publishing Publication: July 20, 2018
Imprint: Springer Language: English
Author: Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen
ISBN: 9783319922256
Publisher: Springer International Publishing
Publication: July 20, 2018
Imprint: Springer
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. 

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