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Signal Processing in Medicine and Biology

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Cover of 'Signal Processing in Medicine and Biology'

Table of Contents

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    Book Overview
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    Chapter 1 An Analysis of Automated Parkinson’s Diagnosis Using Voice: Methodology and Future Directions
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    Chapter 2 Noninvasive Vascular Blood Sound Monitoring Through Flexible Microphone
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    Chapter 3 The Temple University Hospital Digital Pathology Corpus
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    Chapter 4 Transient Artifacts Suppression in Time Series via Convex Analysis
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    Chapter 5 The Hurst Exponent: A Novel Approach for Assessing Focus During Trauma Resuscitation
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    Chapter 6 Gaussian Smoothing Filter for Improved EMG Signal Modeling
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    Chapter 7 Clustering of SCG Events Using Unsupervised Machine Learning
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    Chapter 8 Deep Learning Approaches for Automated Seizure Detection from Scalp Electroencephalograms
Attention for Chapter 5: The Hurst Exponent: A Novel Approach for Assessing Focus During Trauma Resuscitation
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