Electrical biosignals in biomedical engineering : medical sensors, measurement technology and signal processing

Electrical biosignals in biomedical engineering : medical sensors, measurement technology and signal processing / Peter Husar, Gabriel Gašpar.

This book is a broad-based introduction to an increasingly important topic. The overview is easy because each chapter is structured uniformly: theory, methods, realization alternatives, methodical and practical advantages and disadvantages, and examples from industrial technology and medicine as wel...

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Bibliographic Details
Main Authors: Husar, Peter (Author), Gašpar, Gabriel (Author)
Format: eBook
Language:English
Published: Berlin : Springer, [2023]
Subjects:
Biomedical engineering.
Signal processing > Digital techniques.
biomedical engineering.
Biomedical engineering
Signal processing > Digital techniques
Online Access:Click for online access
Table of Contents:
  • Intro
  • Foreword
  • Reviewers
  • Contents
  • Part IOrigin, Acquisition, Analog Processing, and Digitization of Biosignals
  • 1 Origin and Detection of Bioelectric Signals
  • 1.1 The Neuron
  • 1.2 Electrical Excitation Conduction and Projection
  • 1.3 Galvanic Sensors
  • 1.3.1 Basics
  • 1.3.2 Offset Voltage
  • 1.3.3 Impedance
  • 1.4 Capacitive Sensors
  • 1.4.1 Sensor Technology
  • 1.4.2 Metrology
  • 1.5 Experimental Data
  • 1.5.1 Action Potentials of Natural Neurons
  • 1.5.2 EEG, Sensory System
  • 1.5.3 Needle and Surface EMG
  • 1.5.4 Stress ECG
  • References
  • 2 Amplification and Analog Filtering in Medical Measurement Technology
  • 2.1 Properties of Biosignals and Disturbances
  • 2.1.1 Properties of Biosignals and Disturbances Over Time
  • 2.1.2 Properties of Biosignals and Interference in the Spectrum
  • 2.1.3 Coupling of Disturbances into the Measuring Order
  • 2.2 Medical Measuring Amplifiers
  • 2.2.1 Specifics of the Medical Measurement Technology
  • 2.2.2 Differential Amplifier
  • 2.2.3 Operational Amplifier, Instrumentation Amplifier
  • 2.2.4 Isolation Amplifier
  • 2.2.5 Guarding Technology
  • 2.2.6 Active Electrodes
  • 2.3 Analog Filters
  • 2.3.1 Basics
  • 2.3.2 Active Filters with Operational Amplifiers
  • 2.3.3 Phase Frequency Response
  • 2.4 Exercises
  • 2.4.1 Tasks
  • 2.4.2 Solutions
  • 3 Acquisition, Sampling, and Digitization of Biosignals
  • 3.1 Biosignal Acquisition
  • 3.1.1 Derivation Technology
  • 3.1.2 References in Biosignal Acquisition
  • 3.2 Biosignal Sampling
  • 3.2.1 Spectral Characteristics of the Scan
  • 3.2.2 A Sampling of Bandlimited Signals
  • 3.2.3 Scanning in Multichannel Systems
  • 3.3 Digitization of Biosignals
  • 3.3.1 Integrating Transducers
  • 3.3.2 Successive Approximation
  • 3.3.3 Delta-Sigma Conversion
  • 3.4 Exercises
  • 3.4.1 Tasks
  • 3.4.2 Solutions
  • Reference
  • Part IITime and Frequency Analysis, Digital Filtering
  • 4 Time, Frequency, and Compound Domain
  • 4.1 Signal Analysis in the Time Domain
  • 4.1.1 Feature Identification
  • 4.1.2 Determination of Curve Parameters
  • 4.2 Signal Analysis in the Frequency Domain
  • 4.2.1 Fourier Transform
  • 4.2.2 Discrete Fourier Transform
  • 4.3 Signal Analysis in the Time-Frequency Composite Range
  • 4.3.1 Introduction to Time-Frequency Distributions
  • 4.3.2 Fourier-Based Time-Frequency Distributions
  • 4.3.3 Wavelets
  • 4.4 Exercises
  • 4.4.1 Tasks
  • 4.4.2 Solutions
  • References
  • 5 Digital Filtering
  • 5.1 Introduction to Digital Filtering
  • 5.2 LTI-Systems: FIR and IIR
  • 5.2.1 Introduction to Impulse Response and Filter Structure
  • 5.2.2 Infinite Impulse Response Filter, IIR
  • 5.2.3 Finite Impulse Response Filter, FIR
  • 5.3 LTV Systems: Time-Variable and Adaptive Filters
  • 5.3.1 Basics of Time-Variable Filtering
  • 5.3.2 Time Variable Filters
  • 5.3.3 Adaptive Filters
  • 5.4 Spatiotemporal Filtering
  • 5.4.1 Fundamentals of Spatiotemporal Filtering
  • 5.4.2 Beamforming
  • 5.4.3 Spatial Filter
  • 5.4.4 Average Reference

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