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Acoustic Sensors for Biomedical Applications
Acoustic Sensors for Biomedical Applications
Knygos.lt klubas Knygos.lt nariams
104,88 €
-15%
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123,39 €
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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 se…
  • Leidėjas:
  • ISBN-10: 3319922246
  • ISBN-13: 9783319922249
  • Formatas: 15.6 x 23.4 x 0.4 cm, minkšti viršeliai
  • Kalba: Anglų

Acoustic Sensors for Biomedical Applications (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Nilanjan Dey
  • Leidėjas:
  • ISBN-10: 3319922246
  • ISBN-13: 9783319922249
  • Formatas: 15.6 x 23.4 x 0.4 cm, minkšti viršeliai
  • Kalba: Anglų

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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