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020 _a9783319922256
024 7 _a10.1007/978-3-319-92225-6
_2doi
040 _bspa
_dES-MaUEC
050 4 _aR857 .B54
_b2019 EB
100 1 _aDey, Nilanjan,
_d1984-
_eautor
_998032
245 1 0 _aAcoustic Sensors for Biomedical Applications
_cby Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XVII, 55 páginas)
_b13 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_asin mediación
_bn
338 _2rdacarrier
_avolumen
_bnc
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
490 0 _aSpringerBriefs in Speech Technology Studies in Speech Signal Processing Natural Language Understanding and Machine Learning
_x2191-737X
505 0 _aChapter1: Introduction -- Chapter2: Biomedical Signals -- Chapter3: Acoustic Wave Technology -- Chapter4: Acoustic Sensors -- Chapter5: Acoustic Sensors in Biomedical Applications -- Chapter6: Conclusion.
520 3 _aIn 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 7 _2embne
_aBiosensores
_9158891
650 7 _2embne
_aMedicina
_xMaterial y equipo
_9405021
650 7 _2embne
_aTecnología médica
_9150466
700 1 _aAshour, Amira,
_d1975-
_eautor
_9670755
700 1 _aMohamed, Waleed S.
_eautor
_9670757
700 1 _aNguyen, Nhu Gia
_eautor
_9670758
776 0 8 _iPrinted edition:
_z9783319922249
776 0 8 _iPrinted edition:
_z9783319922263
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92225-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b09/2019
_eel
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