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WEARABLE AND NEURONIC ANTENNAS FOR MEDICAL AND WIRELESS APPLICATIONS This new volume in this exciting new series, written and edited by a group of international experts in the field, covers the latest advances and challenges in wearable and neuronic antennas for medical and wireless applications. Antenna development and engineering is changing at a rapid pace, and it is incredibly important that engineers, scientists, and students in the field have a valuable reference work to consult. Students are able to use this book as a learning tool, and professors and industrial short courses are able…mehr
WEARABLE AND NEURONIC ANTENNAS FOR MEDICAL AND WIRELESS APPLICATIONS This new volume in this exciting new series, written and edited by a group of international experts in the field, covers the latest advances and challenges in wearable and neuronic antennas for medical and wireless applications. Antenna development and engineering is changing at a rapid pace, and it is incredibly important that engineers, scientists, and students in the field have a valuable reference work to consult. Students are able to use this book as a learning tool, and professors and industrial short courses are able to use it as a textbook. Covering all of the advances and developments of wearable and neuronic antennas for medical and wireless applications, this outstanding new volume offers information not available anywhere else in any other format. Covering new research and development of antenna designs never seen before, this volume, written and edited by a team of experts in the field, breaks new ground, offering new solutions to engineering and scientific problems to experts in the field, while providing the full theoretical and conceptual background for the practical applications. Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library.
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Arun Kumar, PhD, is an associate professor in the Department of Electronics and Communications at JECRC University, Jaipur, India, having earned his PhD from JECRC University in 2016. He received a SOHA Excellency award from the Society of Hydraulics and Automation Ltd. and is a Bentham ambassador, both in India. He is a member of IEEE and has published more than 42 research papers in scientific and technical journals. He holds one patent and is currently working in 5G waveform techniques, peak power reduction techniques, wearable antennas, and spectrum sensing. Manoj Gupta, PhD, is an associate professor in the Department of Electronics and Communication Engineering, JECRC University, Jaipur (Rajasthan), India. He earned his doctorate from the University of Rajasthan, Jaipur, India. He has over fifteen years of teaching experience and has published many research papers in scientific journals and conferences. He has contributed numerous book chapters to edited volumes and has four patents to his credit. He is the Editor in Chief of the book series "Advances in Antenna, Microwave and Communication Engineering," from Scrivener Publishing, and he is editor in chief of a book series by another publisher. He has spoken at and been involved in numerous scientific conferences and was the keynote speaker at the 2017 IEEE International Conference on Signal and Image Processing and at the 2017 International Conferences on Public Health and Medical Sciences in Xi'an, China. He is an editor, associate editor, and reviewer for many international technical journals and has received numerous awards. Mahmoud A. Albreem, PhD, received his BEng degree in electrical engineering from the Islamic University of Gaza, Palestine, in 2008, and his MSc and PhD degrees from the Universiti Sains Malaysia, in 2010 and 2013, respectively. From 2014 to 2016, he was a senior lecturer at the University Malaysia Perlis. He is currently an assistant professor and the Head of Electronics and Communications Engineering Department, A'Sharqiyah University, Oman. He is also a visiting assistant professor with the Centre for Wireless Communications, University of Oulu, Finland. His research interest includes signal processing for communication systems and information theory, and he was a recipient of the Nokia Foundation Centennial Grant in 2018. Dac-Binh Ha, PhD, received his BS degree in radio techniques, and his MSc and PhD degrees in communication and information systems from Huazhong University of Science and Technology, in China, in 1997, 2006, and 2009, respectively. He is currently the Dean of Faculty of Electrical & Electronics Engineering, Duy Tan University, Da Nang, Vietnam. He has over ten years of industry and academic experience, and he was the recipient of the Best Paper Award at the 2014 IEEE International Conference on Computing, Management and Telecommunications. He has published numerous papers in scientific and technical journals and is principal investigator of two projects supported by Vietnam's National Foundation for Science and Technology Development. Mohit Kumar Sharma is an assistant professor in the Department of Electronics & Communication Engineering while he is pursuing his PhD in 5G communication from JECRC University in India. He is a postgraduate from Malviya National Institute (MNIT) Jaipur in VLSI Design and graduated from university of Rajasthan in electronics & communication engineering, in 2004. He has published numerous papers in related scientific and technical journals.
Inhaltsangabe
Preface xi
1 Machine Learning Aided Channel Equalization in Filter Bank Multi-Carrier Communications for 5G 1 Ubaid M. Al-Saggaf, Muhammad Moinuddin, Syed Saad Azhar Ali, Syed Sajjad Hussain Rizvi and Muhammad Faisal
2.2.4.4 Fully Reconfigurable OTA Using Floating Gate Transistors 23
2.2.4.5 Low Noise OTA with Output Boosting Technique 24
2.2.4.6 Low Noise Low Power OTA 25
2.2.4.7 Cross Coupled Load Current Reuse OTA 26
2.2.4.8 Fully Differential Stacked OTA 27
2.3 Applications of Low Noise Amplifiers 30
2.3.1 For Implantable Bio-Sensors 30
2.3.2 For Measuring and Recording ECG Signal 31
2.4 Conclusion 31
References 31
3 Detecting COVID-19 Through Lung X-Ray Imaging: An Alternative Using Modified CNN Architecture 37 Ahan Chatterjee and Sovik Mukherjee
3.1 Introduction 38
3.2 Literature Review 39
3.3 Proposed Methodology 40
3.3.1 Generative Adversarial Network (GAN) 40
3.3.2 Convolutional Neural Network (CNN) 44
3.3.2.1 General Model of CNN 44
3.3.2.2 Convolutional Network 45
3.3.2.3 Pooling Layer 46
3.3.2.4 Fully Connected Layer 46
3.3.2.5 Activation Function 46
3.3.2.6 Calculation of Gradient Descent in CNN Architecture 47
3.3.3 Proposed Algorithm 49
3.3.4 Model Architecture 51
3.4 Results 52
3.5 Conclusion 54
References 55
4 Wireless Body Area Network Antenna 57 Inderpreet Kaur, Hari Kumar Singh and Tejasvini Thakral
4.1 Introduction 58
4.1.1 On Body WBANs 59
4.1.2 In Body WBANs 61
4.1.3 Non-Medical Applications for WBAN 62
4.1.4 Principle of Operation 63
4.1.4.1 Transmitter 64
4.1.4.2 Receiver 65
4.1.5 Design Aspects of WBANs 67
4.1.6 Hardware Requirements 68
4.2 Literature Review 70
4.3 Proposed Work 78
4.3.1 Geometry of Antenna 78
4.3.2 Parametric Analysis 79
4.3.2.1 Effect of Radius of Vias 79
4.3.2.2 Effect of Length of Feed 80
4.3.2.3 Effect of Length of Conductive Portion of Ground 80
4.4 Result 80
4.5 Conclusion 81
References 82
5 Analysis of RF-DC Rectifier Input Impedance for the Appropriate Design of Matching Network for Wireless RF Energy Harvesters 85 Kamini Singh, Sanjeev Yadav, J.K. Deegwal and M.M. Sharma
1 Machine Learning Aided Channel Equalization in Filter Bank Multi-Carrier Communications for 5G 1 Ubaid M. Al-Saggaf, Muhammad Moinuddin, Syed Saad Azhar Ali, Syed Sajjad Hussain Rizvi and Muhammad Faisal
2.2.4.4 Fully Reconfigurable OTA Using Floating Gate Transistors 23
2.2.4.5 Low Noise OTA with Output Boosting Technique 24
2.2.4.6 Low Noise Low Power OTA 25
2.2.4.7 Cross Coupled Load Current Reuse OTA 26
2.2.4.8 Fully Differential Stacked OTA 27
2.3 Applications of Low Noise Amplifiers 30
2.3.1 For Implantable Bio-Sensors 30
2.3.2 For Measuring and Recording ECG Signal 31
2.4 Conclusion 31
References 31
3 Detecting COVID-19 Through Lung X-Ray Imaging: An Alternative Using Modified CNN Architecture 37 Ahan Chatterjee and Sovik Mukherjee
3.1 Introduction 38
3.2 Literature Review 39
3.3 Proposed Methodology 40
3.3.1 Generative Adversarial Network (GAN) 40
3.3.2 Convolutional Neural Network (CNN) 44
3.3.2.1 General Model of CNN 44
3.3.2.2 Convolutional Network 45
3.3.2.3 Pooling Layer 46
3.3.2.4 Fully Connected Layer 46
3.3.2.5 Activation Function 46
3.3.2.6 Calculation of Gradient Descent in CNN Architecture 47
3.3.3 Proposed Algorithm 49
3.3.4 Model Architecture 51
3.4 Results 52
3.5 Conclusion 54
References 55
4 Wireless Body Area Network Antenna 57 Inderpreet Kaur, Hari Kumar Singh and Tejasvini Thakral
4.1 Introduction 58
4.1.1 On Body WBANs 59
4.1.2 In Body WBANs 61
4.1.3 Non-Medical Applications for WBAN 62
4.1.4 Principle of Operation 63
4.1.4.1 Transmitter 64
4.1.4.2 Receiver 65
4.1.5 Design Aspects of WBANs 67
4.1.6 Hardware Requirements 68
4.2 Literature Review 70
4.3 Proposed Work 78
4.3.1 Geometry of Antenna 78
4.3.2 Parametric Analysis 79
4.3.2.1 Effect of Radius of Vias 79
4.3.2.2 Effect of Length of Feed 80
4.3.2.3 Effect of Length of Conductive Portion of Ground 80
4.4 Result 80
4.5 Conclusion 81
References 82
5 Analysis of RF-DC Rectifier Input Impedance for the Appropriate Design of Matching Network for Wireless RF Energy Harvesters 85 Kamini Singh, Sanjeev Yadav, J.K. Deegwal and M.M. Sharma
5.1 Introduction 86
5.1.1 Need and Advantages of Energy Harvesters 86
5.1.2 RF Energy Sources 87 &nbs
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