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Functional brain-heart interplayfrom...
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Catrambone, Vincenzo.
Functional brain-heart interplayfrom physiology to advanced methodology of signal processing and modeling /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Functional brain-heart interplayby Vincenzo Catrambone, Gaetano Valenza.
Reminder of title:
from physiology to advanced methodology of signal processing and modeling /
Author:
Catrambone, Vincenzo.
other author:
Valenza, Gaetano.
Published:
Cham :Springer International Publishing :2021.
Description:
x, 236 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Neurophysiology.
Online resource:
https://doi.org/10.1007/978-3-030-79934-2
ISBN:
9783030799342$q(electronic bk.)
Functional brain-heart interplayfrom physiology to advanced methodology of signal processing and modeling /
Catrambone, Vincenzo.
Functional brain-heart interplay
from physiology to advanced methodology of signal processing and modeling /[electronic resource] :by Vincenzo Catrambone, Gaetano Valenza. - Cham :Springer International Publishing :2021. - x, 236 p. :ill., digital ;24 cm.
1. Physiology of Brain-Heart Interplay -- 2. Brain and Heart Signal Processing Methodology -- 3. Quantification of Functional Brain-Heart Interplay -- 4. Exemplary Applications to Real Brain and Heartbeat Data -- 5. Future Direction of Research and Prospective Applications using Functional Brain-Heart Interplay Assessment.
This monograph offers a cross-system exchange and cross-modality investigation into brain-heart interplay. Brain-Heart Interplay (BHI) is a highly interdisciplinary scientific topic, which spreads from the physiology of the Central/Autonomous Nervous Systems, especially Central Autonomic Network, to advanced signal processing and modeling for its activity quantification. Motivated by clinical evidence and supported by recent findings in neurophysiology, this monograph first explores the definition of basic Brain-Heart Interplay quantifiers, and then moves onto advanced methods for the assessment of health and disease states. Non-invasive use of brain monitoring techniques, including electroencephalogram and function Magnetic Resonance Imaging, will be described together with heartbeat dynamics monitoring through pulseoximeter and ECG signals. The audience of this book comprises especially of biomedical engineers and medical doctors with expertise in statistics and/or signal processing. Researchers in the fields of cardiology, neurology, psychiatry, and neuroscience in general may be interested as well.
ISBN: 9783030799342$q(electronic bk.)
Standard No.: 10.1007/978-3-030-79934-2doiSubjects--Topical Terms:
194420
Neurophysiology.
LC Class. No.: QP355.2
Dewey Class. No.: 612.8
Functional brain-heart interplayfrom physiology to advanced methodology of signal processing and modeling /
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1. Physiology of Brain-Heart Interplay -- 2. Brain and Heart Signal Processing Methodology -- 3. Quantification of Functional Brain-Heart Interplay -- 4. Exemplary Applications to Real Brain and Heartbeat Data -- 5. Future Direction of Research and Prospective Applications using Functional Brain-Heart Interplay Assessment.
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This monograph offers a cross-system exchange and cross-modality investigation into brain-heart interplay. Brain-Heart Interplay (BHI) is a highly interdisciplinary scientific topic, which spreads from the physiology of the Central/Autonomous Nervous Systems, especially Central Autonomic Network, to advanced signal processing and modeling for its activity quantification. Motivated by clinical evidence and supported by recent findings in neurophysiology, this monograph first explores the definition of basic Brain-Heart Interplay quantifiers, and then moves onto advanced methods for the assessment of health and disease states. Non-invasive use of brain monitoring techniques, including electroencephalogram and function Magnetic Resonance Imaging, will be described together with heartbeat dynamics monitoring through pulseoximeter and ECG signals. The audience of this book comprises especially of biomedical engineers and medical doctors with expertise in statistics and/or signal processing. Researchers in the fields of cardiology, neurology, psychiatry, and neuroscience in general may be interested as well.
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based on 0 review(s)
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EB QP355.2 .C367 2021 2021
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https://doi.org/10.1007/978-3-030-79934-2
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