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, 2191-7388 . - 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. .
9783319922256
10.1007/978-3-319-92225-6 doi
Signal processing.
Natural language processing (Computer science).
Biomedical engineering.
Ultrasonics.
Computational linguistics.
Bioinformatics.
Signal, Speech and Image Processing .
Natural Language Processing (NLP).
Biomedical Engineering and Bioengineering.
Ultrasonics.
Computational Linguistics.
Bioinformatics.
TK5102.9
621.382
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, 2191-7388 . - 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. .
9783319922256
10.1007/978-3-319-92225-6 doi
Signal processing.
Natural language processing (Computer science).
Biomedical engineering.
Ultrasonics.
Computational linguistics.
Bioinformatics.
Signal, Speech and Image Processing .
Natural Language Processing (NLP).
Biomedical Engineering and Bioengineering.
Ultrasonics.
Computational Linguistics.
Bioinformatics.
TK5102.9
621.382