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Healthcare Sensor Networks - Challenges Toward Practical Implementation (Hardcover, New): Daniel Tze Huei Lai, Marimuthu... Healthcare Sensor Networks - Challenges Toward Practical Implementation (Hardcover, New)
Daniel Tze Huei Lai, Marimuthu Palaniswami, Rezaul Begg
R5,508 Discovery Miles 55 080 Ships in 12 - 17 working days

Healthcare sensor networks (HSNs) now offer the possibility to continuously monitor human activity and physiological signals in a mobile environment. Such sensor networks may be able to reduce the strain on the present healthcare workforce by providing new autonomous monitoring services ranging from simple user-reminder systems to more advanced monitoring agents for preventive, diagnostic, and rehabilitative purposes. Potential services include reminding people to take their medication, providing early warning for the onset of heart attacks or epileptic seizures, and monitoring a child's physical activity in order to assess their growth and mental development. Healthcare Sensor Networks: Challenges Toward Practical Implementation discusses the fundamental concepts in designing and building such networks. It presents the latest developments in HSNs, explores applications of the technology, and provides insights into practical design and deployment challenges. Bringing together contributions from international experts in the field, the book highlights the key areas that require further research for HSNs to become a technological and commercially viable reality. The first part of the book concentrates on the engineering challenges, covering new biosensors, energy harvesting techniques, new wireless communication methods, and novel security approaches. Building from single sensing devices to networked sensing systems, the second part of the book looks at various health applications of HSNs. It addresses the human-centric requirements that should be considered in the design of HSN technologies-cost, portability, functionality, and user acceptance-and demonstrates how engineering compromises must be made in HSN solutions. A useful and timely resource for researchers, postgraduate students, and engineers looking for innovative solutions in healthcare, this book will also be of interest to medical and allied he

Computational Intelligence in Biomedical Engineering (Paperback): Rezaul Begg, Daniel T.H. Lai, Marimuthu Palaniswami Computational Intelligence in Biomedical Engineering (Paperback)
Rezaul Begg, Daniel T.H. Lai, Marimuthu Palaniswami
R1,972 Discovery Miles 19 720 Ships in 12 - 17 working days

As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-specific reference, Computational Intelligence in Biomedical Engineering provides a unique look at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular to the field. The authors begin with an overview of signal processing and machine learning approaches and continue on to introduce specific applications, which illustrate CI's importance in medical diagnosis and healthcare. They provide an extensive review of signal processing techniques commonly employed in the analysis of biomedical signals and in the improvement of signal to noise ratio. The text covers recent CI techniques for post processing ECG signals in the diagnosis of cardiovascular disease and as well as various studies with a particular focus on CI's potential as a tool for gait diagnostics. In addition to its detailed accounts of the most recent research, Computational Intelligence in Biomedical Engineering provides useful applications and information on the benefits of applying computation intelligence techniques to improve medical diagnostics.

Computational Intelligence in Biomedical Engineering (Hardcover, New): Rezaul Begg, Daniel T.H. Lai, Marimuthu Palaniswami Computational Intelligence in Biomedical Engineering (Hardcover, New)
Rezaul Begg, Daniel T.H. Lai, Marimuthu Palaniswami
R5,364 Discovery Miles 53 640 Ships in 12 - 17 working days

As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-specific reference, Computational Intelligence in Biomedical Engineering provides a unique look at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular to the field. The authors begin with an overview of signal processing and machine learning approaches and continue on to introduce specific applications, which illustrate CI's importance in medical diagnosis and healthcare. They provide an extensive review of signal processing techniques commonly employed in the analysis of biomedical signals and in the improvement of signal to noise ratio. The text covers recent CI techniques for post processing ECG signals in the diagnosis of cardiovascular disease and as well as various studies with a particular focus on CI's potential as a tool for gait diagnostics. In addition to its detailed accounts of the most recent research, Computational Intelligence in Biomedical Engineering provides useful applications and information on the benefits of applying computation intelligence techniques to improve medical diagnostics.

Poincare Plot Methods for Heart Rate Variability Analysis (Hardcover, 2013 ed.): Ahsan Habib Khandoker, Chandan Karmakar,... Poincare Plot Methods for Heart Rate Variability Analysis (Hardcover, 2013 ed.)
Ahsan Habib Khandoker, Chandan Karmakar, Michael Brennan, Marimuthu Palaniswami, Andreas Voss
R4,993 Discovery Miles 49 930 Ships in 10 - 15 working days

The Poincare plot (named after Henri Poincare) is a popular two-dimensional visualization tool for dynamic systems due to its intuitive display of the dynamic properties of a system from a time series. This book presents the basis of Poincare plot and focus especially on traditional and new methods for analysing the geometry, temporal and spatial dynamics disclosed by the Poincare plot to evaluate heart rate variability (HRV). Mathematical descriptors of Poincare plot have been developed to quantify the autonomic nervous system activity (sympathetic and parasympathetic modulation of heart rate). Poincare plot analysis has also been used in various clinical diagnostic settings like diabetes, chronic heart failure, chronic renal failure and sleep apnea syndrome. The primary aims of quantification of the Poincare plots are to discriminate healthy physiological systems from pathological conditions and to classify the stage of a disease. The HRV analysis by Poincare plot has opened up ample opportunities for important clinical and research applications. Therefore, the present book can be used either for self-study, as a supplement to courses in linear and nonlinear systems, or as a modern monograph by researchers in this field of HRV analysis.

Healthcare Sensor Networks - Challenges Toward Practical Implementation (Paperback): Daniel Tze Huei Lai, Marimuthu... Healthcare Sensor Networks - Challenges Toward Practical Implementation (Paperback)
Daniel Tze Huei Lai, Marimuthu Palaniswami, Rezaul Begg
R1,983 Discovery Miles 19 830 Ships in 12 - 17 working days

Healthcare sensor networks (HSNs) now offer the possibility to continuously monitor human activity and physiological signals in a mobile environment. Such sensor networks may be able to reduce the strain on the present healthcare workforce by providing new autonomous monitoring services ranging from simple user-reminder systems to more advanced monitoring agents for preventive, diagnostic, and rehabilitative purposes. Potential services include reminding people to take their medication, providing early warning for the onset of heart attacks or epileptic seizures, and monitoring a child's physical activity in order to assess their growth and mental development. Healthcare Sensor Networks: Challenges Toward Practical Implementation discusses the fundamental concepts in designing and building such networks. It presents the latest developments in HSNs, explores applications of the technology, and provides insights into practical design and deployment challenges. Bringing together contributions from international experts in the field, the book highlights the key areas that require further research for HSNs to become a technological and commercially viable reality. The first part of the book concentrates on the engineering challenges, covering new biosensors, energy harvesting techniques, new wireless communication methods, and novel security approaches. Building from single sensing devices to networked sensing systems, the second part of the book looks at various health applications of HSNs. It addresses the human-centric requirements that should be considered in the design of HSN technologies-cost, portability, functionality, and user acceptance-and demonstrates how engineering compromises must be made in HSN solutions. A useful and timely resource for researchers, postgraduate students, and engineers looking for innovative solutions in healthcare, this book will also be of interest to medical and allied he

Poincare Plot Methods for Heart Rate Variability Analysis (Paperback, Softcover reprint of the original 1st ed. 2013): Ahsan... Poincare Plot Methods for Heart Rate Variability Analysis (Paperback, Softcover reprint of the original 1st ed. 2013)
Ahsan Habib Khandoker, Chandan Karmakar, Michael Brennan, Marimuthu Palaniswami, Andreas Voss
R3,456 Discovery Miles 34 560 Ships in 10 - 15 working days

The Poincare plot (named after Henri Poincare) is a popular two-dimensional visualization tool for dynamic systems due to its intuitive display of the dynamic properties of a system from a time series. This book presents the basis of Poincare plot and focus especially on traditional and new methods for analysing the geometry, temporal and spatial dynamics disclosed by the Poincare plot to evaluate heart rate variability (HRV). Mathematical descriptors of Poincare plot have been developed to quantify the autonomic nervous system activity (sympathetic and parasympathetic modulation of heart rate). Poincare plot analysis has also been used in various clinical diagnostic settings like diabetes, chronic heart failure, chronic renal failure and sleep apnea syndrome. The primary aims of quantification of the Poincare plots are to discriminate healthy physiological systems from pathological conditions and to classify the stage of a disease. The HRV analysis by Poincare plot has opened up ample opportunities for important clinical and research applications. Therefore, the present book can be used either for self-study, as a supplement to courses in linear and nonlinear systems, or as a modern monograph by researchers in this field of HRV analysis.

Computational Intelligence for Movement Sciences - Neural Networks and Other Emerging Techniques (Hardcover): Rezaul Begg,... Computational Intelligence for Movement Sciences - Neural Networks and Other Emerging Techniques (Hardcover)
Rezaul Begg, Marimuthu Palaniswami
R2,719 Discovery Miles 27 190 Ships in 10 - 15 working days

Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement areas because of the complexity of the biological systems, as well as the limitations of the existing quantitative techniques in modelling. ""Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques"" contains information regarding state-of-the-art research outcomes and cutting-edge technology from leading scientists and researchers working on various aspects of the human movement. Readers of this book will gain an insight into this field, as well as access to pertinent information, which they will be able to use for continuing research in this area.

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