Kaniusas Biomedical Signals and Sensors I

Linking Physiological Phenomena and Biosignals
2012
ISBN: 978-3-642-24843-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 298 Seiten, eBook

Reihe: Biological and Medical Physics, Biomedical Engineering

This two-volume set focuses on the interface between physiologic mechanisms and diagnostic human engineering. Today numerous biomedical sensors are commonplace in clinical practice. The registered biosignals reflect mostly vital physiologic phenomena. In order to adequately apply biomedical sensors and reasonably interpret the corresponding biosignals, a proper understanding of the involved physiologic phenomena, their influence on the registered biosignals, and the technology behind the sensors is necessary.

The first volume is devoted to the interface between physiologic mechanisms and arising biosignals, whereas the second volume is focussed on the interface between biosignals and biomedical sensors. The physiologic mechanisms behind the biosignals are described from the basic cellular level up to their advanced mutual coordination level during sleep. The arising biosignals are discussed within the scope of vital physiologic phenomena to foster their understanding and comprehensive analysis.

Zielgruppe

Research

Autoren/Hrsg.

Kaniusas, Eugenijus

Inhaltsverzeichnis

Fundamentals of biosignals.- Definition and model of biosignals.- Historical aspects.- Classification of biosignals.- Trends in biosignals monitoring.- Physiological and functional basis.- Cell.- Neurons and receptors.- Muscle.- Heart.- Circulatory system.- Respiratory system.- Physiological phenomena and biosignals.- Vital phenomena and their parameters.- Heartbeat.- Respiration.- Blood circulation.- Blood pressure.- Blood flow.- Arterial radius.- Blood oxygenation.- Body temperature.- Parameter behavior.- Cardiorespiratory interrelations.- Cardiovascular interrelations.- Biological rhythms.- Sleep.

Über Autor(innen)

Assoc. Univ. Prof., head of the research group "Biomedical Sensing" at the Institute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology