Computational Tools and Techniques for Biomedical Signal Processing

Computational Tools and Techniques for Biomedical Signal Processing

Copyright: © 2017 |Pages: 415

ISBN13: 9781522506607|ISBN10: 1522506608|EISBN13: 9781522506614

DOI: 10.4018/978-1-5225-0660-7

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Singh, Butta, editor. Computational Tools and Techniques for Biomedical Signal Processing. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0660-7

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Singh, B. (Ed.). (2017). Computational Tools and Techniques for Biomedical Signal Processing. IGI Global. https://doi.org/10.4018/978-1-5225-0660-7

Chicago

Singh, Butta, ed. Computational Tools and Techniques for Biomedical Signal Processing. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0660-7

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Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented.

Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists, information technologists, biomedical engineers, data-processing specialists, and medical physicists interested in signal processing within medical systems and facilities.

Table of Contents

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Front Materials

Title Page

Copyright Page

Advances in Bioinformatics and Biomedical Engineering (ABBE) Book Series

Dedication

Preface

Acknowledgment

Chapters

Chapter 1

Nonlinear Complexity Sorting Approach for 2D ECG Data Compression (pages 1-21)

Anukul Pandey, Butta Singh, Barjinder Singh Saini, Neetu Sood

Cardiovascular Disease (CVD) is globally acknowledged research problem. The continuous Electrocardiogram (ECG) monitoring can assist in tackling the problem of CVD. The redundancy in the monitoring of ECG signal is reduced by various...

Chapter 2

A Review on Noninvasive Beat-to-Beat Systemic and Pulmonary Blood Pressure Estimation through Surrogate Cardiovascular Signals (pages 22-55)

Ana Castro, Paulo de Carvalho, Jens Muehlsteff, Sandra S. Mattos, Miguel Coimbra

Blood pressure monitoring is essential in hospital and home monitoring scenarios, with applications requiring on-line beat-to-beat blood pressure estimation, such as tele-monitoring of neurally mediated syncope. This chapter presents...

Chapter 3

Non-Linear Analysis of Heart Rate Variability and ECG Signal Features of Swimmers from NIT-Rourkela: A Case Study (pages 56-75)

Anupama Ray, Suraj Kumar Nayak, Biswajeet Champaty, D. N. Tibarewala, Kunal Pal

The current study deals with the investigation of the effect of long-term endurance training on the autonomic nervous system of healthy adults. ECG was recorded for 5 min under resting condition in a sitting position using an ECG...

Chapter 4

Parameter Estimation of Nonlinear Biomedical Systems Using Extended Kalman Filter Algorithm: Development of Patient Specific Models (pages 76-99)

Kamalanand Krishnamurthy

Parameter estimation is a central issue in mathematical modelling of biomedical systems and for the development of patient specific models. The technique of estimating parameters helps in obtaining diagnostic information from...

Chapter 5

Two-Directional Two-Dimensional Principal Component Analysis Based on Wavelet Decomposition for High-Dimensional Biomedical Signals Classification (pages 100-122)

Hong-Bo Xie, Tianruo Guo

Here, we present a multi-scale two-directional two-dimensional principal component analysis (MS2D2PCA) method for the efficient and effective extraction of essential feature information from signals. Time-invariant multi-scale...

Chapter 6

Medical Image Enhancement Using Edge Information-Based Methods (pages 123-148)

S. Anand

Medical image enhancement improves the quality and facilitates diagnosis. This chapter investigates three methods of medical image enhancement by exploiting useful edge information. Since edges have higher perceptual importance, the...

Chapter 7

Success Dimensions of ICTs in Healthcare (pages 149-173)

Pankaj Deep Kaur, Pallavi Sharma

During the last decades, the call for Information and Communication Technologies (ICTs) in healthcare has been augmented to endow with healthcare services at a global scale and to trim down medical errors that cost human lives....

Chapter 8

Non-Invasive Cuffless Blood Pressure Monitoring System (pages 174-194)

Harinderjit Singh, Dilip Kumar

These days most of the Blood Pressure (BP) measuring devices are having inflatable cuff that is needed to be occluded on the patient's arm for measuring blood pressure. This technique is not suitable in cases where continuous...

Chapter 9

Electromyogram and Inertial Sensor Signal Processing in Locomotion and Transition Classification (pages 195-211)

Deepak Joshi, Michael E. Hahn

Signal processing in biomedical engineering is essentially required for classification while serving mainly two aims. The first is noise removal and the second is signal representation. Signal representation deals with transforming...

Chapter 10

Single Electronics for Biomedical Applications (pages 212-227)

Deep Kamal Kaur Randhawa

The nanoelectronic circuits based on single electronics would revolutionise the new generation electronic bio-medical gadgets. The high speed nanoelectronic devices would make these gadgets faster and more accurate. The...

Chapter 11

Analysis of HRV during the Menstrual Cycle and Postmenopause (pages 228-241)

Kirti Rawal, Barjinder Singh Saini, Indu Saini

Every woman experiences an extensive fluctuation in HRV during her menstrual cycle and even after menopause. A woman who lives long enough will experience menopause as a normal physiologic event. The study of the influence of...

Chapter 12

A Comparative Study on Diabetic Retinopathy Detection Using Texture-Based Feature Extraction Techniques (pages 242-271)

Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad

Diabetic retinopathy is proved to be one of the most important eye disorders in recent decades that late diagnosis of it may cause low vision or even blindness. Specialist are able to detect retinopathy in retinal images using...

Chapter 13

Analysis of Electrocardiogram Data Compression Techniques: A MATLAB-Based Approach (pages 272-313)

Anukul Pandey, Barjinder Singh Saini, Butta Singh, Neetu Sood

In this Chapter, a MATLAB-based approach is presented for compression of Electrocardiogram (ECG) data. The methodology employs in three different domains namely direct, transformed and parameter extraction methods. The selected...

Chapter 14

Energy Efficient Particle Optimized Compressed ECG Data over Zigbee Environment (pages 314-332)

Dilip Kumar, Rajeev Kumar, Tony Singla

Standard Electrocardiogram Tracking instruments are huge to carry away over the remote areas for the surveillance. Holter is the compact instrument meant for collecting ECG of a patient without a pause while the patient is on the go...

Chapter 15

Optimized Clustering Techniques with Special Focus to Biomedical Datasets (pages 333-360)

Anusuya S. Venkatesan

The clinical data including clinical test results, MRI images and drug responses of patients are documented and analyzed with machine learning and data mining tools. The scale and complexity of these datasets is a big challenge to...

Back Materials

Compilation of References

About the Contributors

Index

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