| Description |
1 online resource (113 p.) |
| Series |
Biomedical and Robotics Healthcare Ser |
|
Biomedical and Robotics Healthcare Ser
|
| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgement -- Authors -- Chapter 1 Mathematical Modeling and Analysis of Soft Tissue Viscoelasticity and Dielectric Relaxation -- 1.1 Mathematical Modeling in Medicine and Biology -- 1.2 Soft Tissue Characteristics -- 1.3 Physical Models of Soft Tissues -- 1.4 Soft Tissue Viscoelasticity -- 1.4.1 Viscoelastic Testing of Soft Tissues -- 1.5 Mathematical Modeling of Soft Tissue Viscoelasticity -- 1.6 Dielectric Models of Soft Tissues -- References |
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Chapter 2 Relationship between Viscoelastic and Dielectric Properties of Biological Soft Tissues -- 2.1 Electromechanical Correlations in Biological Soft Tissues -- 2.2 Correlation between Mechanical and Electrical Properties in the Liver and Brain Tissue -- 2.3 Artifiial Neural Networks in the Prediction of Soft Tissue Viscoelastic Properties -- 2.4 Prediction of Soft Tissue Viscoelastic Properties by Support Vector Regression -- References -- Chapter 3 Electrophysiology -- 3.1 Action Potentials -- 3.1.1 Biopotential -- 3.1.2 Propagation of Action Potentials -- 3.2 Hodgkin-Huxley Model |
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3.3 Biomedical Signals -- 3.3.1 Classification Based on the Biosignal Source -- 3.3.2 Classification Based on the Biosignal Model -- 3.3.3 Classification Based on the Dimensionality -- 3.3.4 Classification Based on the Number of Channels -- 3.3.5 Classification Based on the Nature of the Biosignals -- 3.4 Problems Associated with Recording Biomedical Signals -- 3.5 Physiological Transducers -- 3.5.1 Example of Biomedical Transducers -- 3.6 Electrode Types -- 3.7 Skin-Electrode Model -- 3.8 Typical Signals -- 3.8.1 Electrocardiogram (ECG) -- 3.8.2 Electromyograms -- 3.9 Biosignal Amplifiers |
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3.10 Filters -- References -- Chapter 4 Electromyograms -- 4.1 Neuromuscular System and Electromyography -- 4.2 Effect of Electrode Types on the Acquired EMG Signals -- 4.3 Types of Muscles -- 4.4 Characteristics of EMG Signals -- 4.5 Electrode Placement -- 4.6 Computational Analysis on Normal and Abnormal EMG Signals -- 4.6.1 Spectrogram -- 4.6.2 Statistical Analysis of EMG Signals -- 4.6.3 Hjorth Parameters -- 4.6.4 Hurst Exponent -- 4.6.5 Fractal Dimension -- 4.6.6 Zero Crossing -- 4.6.7 Spectral Entropy -- 4.6.8 Tsallis Entropy -- References |
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Chapter 5 Activity of Muscles in Non-Myopathic Conditions: A Case Study from Lymphatic Filariasis -- 5.1 Filariasis and Lymphoedema -- 5.2 Acquisition of EMG Signals -- 5.3 Time-Domain Analysis of Normal and Fibrotic EMG Signals -- 5.4 Frequency-Domain Analysis of Normal and Fibrotic Electromyograms -- References -- Index |
| Notes |
Description based upon print version of record |
| Form |
Electronic book
|
| Author |
Kamalanand, K
|
|
De Britto, R. L. J
|
| ISBN |
9781000374735 |
|
1000374734 |
|
