Provides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of Wireless Health. The book is organized into three main sections. Provides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of Wireless Health. The book is organized into three main sections. List of Contributors Preface/Foreword (6 pages approx. might come in mid-December) Chapter 1: Introduction to wireless computing in medicine Amber Bhargav, Mary M. Eshaghian-Wilner, Arushi Gupta, Alekhya Sai Nuduru Pati and Pujal Trivedi 1.1. Introduction 1.2. Definition of Terms 1.3. Brief History of Wireless Healthcare 1.4. What is Wireless Computing? 1.5. Distributed Computing 1.6. Nanotechnology in Medicine 1.7. Ethics of Medical Wireless Computing 1.8. Privacy in Wireless Computing 1.9. Conclusion References Chapter 2: Nanocomputing and Cloud Computing Mary M. Eshaghian-Wilner, Arushi Gupta, Shiva Navab, Alekhya Sai Nuduru Pati, Gaurav Sarkar and Ben Shiroma 2.1. Introduction 2.2. Nanocomputing 2.3. Cloud Computing 2.4. Conclusion References Chapter 3: Pervasive Computing in Hospitals Janet Meiling Wang-Roveda, Linda Powers and Kui Ren 3.1. Introduction 3.2. Architecture of pervasive computing in hospitals 3.3. Sensors, Devices, Instruments and embedded systems 3.4. Data acquisition in pervasive computing 3.5. Software support for context-aware and activity sharing Services 3.6. Data and Information Security 3.7. Conclusion 3.8. Acknowledgment References Chapter 4: Diagnostic Improvements - Treatment and Care Xiaojun Xian 4.1. Introduction 4.2. System design 4.3. Body sensor network (bsn) 4.4. Portable sensors 4.5. Wearable sensors 4.6. Implantable sensors 4.7. Wireless communication 4.8. Mobile base unit (mbu) 4.9. Conclusion andchallenges 4.10. Acknowledgment References Chapter 5: Collaborative Opportunistic Sensing of Human Behavior with Mobile Phones Luis A. Castro, Jessica Beltran-Marquez, Jesus Favela, Edgar Chavez, Moises Perez, Marcela Rodriguez, Rene Navarro and Eduardo Quintana 5.1. Health and mobile sensing 5.2. The In-Cense sensing toolkit 5.3. Sensing campaign 1: Detecting Behaviors Associated with the Frailty Syndrome among Older Adults 5.4. Sensing Campaign 2: Detecting Problematic Behaviors among Elders with Dementia 5.5. Discussion 5.6. Conclusions and future work References Chapter 6: Pervasive computing to support individuals with cognitive disabilities Monica Tentori, José Mercado, Franceli L. Cibrian and Lizbeth Escobedo 6.1. Introduction 6.2. Wearable and mobile sensing platforms to ease the recording of data 6.3. Relevant to clinical case assessment 6.4. Augmented reality, mobile and tangible computing to support cognition 6.5. Serious games and exergames to support motor impairments 6.6. Conclusions 6.7. Acknowledgments References Chapter 7: Wireless Power for Implantable Devices: A Technical Review Mary Eshaghian-Wilner, Zhuochen Ge, Renjun Liu  and Alekhya Sai Nuduru Pati 7.1. Introduction 7.2. History of wireless power 7.3. Approach of wireless power transmission 7.4. A detailed example of magnetic coupling resonance 7.5. Popular Standards 7.6. Wireless Power Transmission in medical use 7.7. Conclusion 7.8. Acknowledgment Reference Chapter 8: Energy Efficient Physical Activity Detection in Wireless Body Area Networks Daphney-Stavroula Zois, Sangwon Lee, Murali Annavaram and Urbashi Mitra 8.1. Introduction 8.2. Knowme platform 8.3. Energy impact of design choices 8.4. Problem formulation 8.5. Sensor selection strategies 8.6. Alternative problem formulation 8.7. Sensor selection strategies 8.8. Experiments 8.9. Related work 8.10. Conclusion References Chapter 9: Markov Decision Process for Adaptive Control of Distributed Body Sensor Networks Shuping Liu, Anand Panangadan, Ashit Talukder and Cauligi S. Raghavendra 9.1. Introduction 9.2. Rationale for Markov Decision Process Formulation 9.3. Related work 9.4. Problem statement, assumption and approach 9.5. MDP Model for Multiple Sensor Nodes 9.6. Communication 9.7. Simulation results 9.8. Conclusions 9.9. Acknowledgement References Chapter 10: An Introduction to Nanomedicine Amber Bhargava, Janet Cheung, Mary Eshaghian-Wilner, Wan Lee, Mike Schlesinger and Abhishek Uppal 10.1. Introduction 10.2. Nanomedical Technology 10.3. Detection 10.4. Treatment 10.5. Biocompatibility 10.6. Power 10.7. Computer Modeling 10.8. Research Institutions 10.9. Conclusion 10.10. Acknowledgements References Chapter 11: Nano Medicine Using Magneto-Electric Nanoparticles Mary M. Eshaghian- Wilner, Gaurav Sarkar, Umang Sharma, Rakesh Guduru and Sakhrat Khizroev 11.1. Introduction 11.2. Overview of MENs 11.3. Magnetoelectric spin on stimulating the brain 11.4. Bioceramics: Bone regeneration and Magnetic nanoparticles 11.5. Conclusion References CHAPTER 12: DNA Computation in Medicine Noam Mamet and Ido Bachelet 12.1. Background for the non-biologist 12.2. Introduction 12.3. In vitro computing 12.4. Computation in-vivo 12.5. Challenges 12.6. Glimpse into the future References Chapter 13: Graphene-based Nanosystems for Detection of Proteinic Biomarkers of Disease: Implication in Translational Medicine Farid Menaa, Sandeep Kumar Vashist, Adnane Abdelghani and Bouzid Menaa 13.1. Introduction 13.2. Structural and Physicochemical Properties of Graphene & Main Derivatives 13.3. Graphene and Derivatives-Based Biosensing Nanosystems and Applications 13.4. Main Abbreviations References Chapter 14: Modeling Brain Disorders in Silicon and Nanotechnologies Alice C. Parker, Saeid Barzegarjalali, Kun Yue, Rebecca Lee and Sukanya Patil 14.1. Introduction 14.2. The BioRC Project 14.3. Background: BioRC Neural Circuits 14.4. Modeling Synapses with Carbon Nanotube (CNT) Transistors 14.5. Modeling OCD with Hybrid CMOS/Nano Circuits 14.6. Biological OCD Circuit and Biomimetic Model 14.7. Indirect Pathway: The Braking Mechanism 14.8. Direct Pathway: The Accelerator 14.9. Typical and atypical responses 14.10. Modeling Schizophrenic Hallucinations with Hybrid CMOS/Nano Circuits 14.11. Explanation for Schizophrenia Symptoms 14.12. Disinhibition Due to Miswiring 14.13. Our Hybrid Neuromorphic Prediction Network 14.14. Simulation Results 14.15. Numerical Analysis of False Firing 14.16. Modeling Parkinson's Disease with CMOS Circuits 14.17. Modeling MS with CMOS Circuits 14.18. Demyelination circuit 14.19. Conclusions and Future Trends References Chapter 15: Linking Medical Nanorobots to Pervasive Computing Sylvain Martel 15.1. Introduction 15.2. Complementary functionalities 15.3. Main specifications for such nanorobotic agents (nanorobots) 15.4. Medical nanorobotic agents an example 15.5. Nanorobotic communication links allowing pervasive computing 15.6. Types of information 15.7. Medical nanorobotic agents for monitoring and early detection 15.8. Medical nanorobotics and pervasive computing main conditions that must be met for its feasibility 15.9. Conclusion References Chapter 16: Nanomedicine s Transversality: Some Implications of the Nanomedical Paradigm José J. López and Mathieu Noury 16.1. Introduction 16.2. Nanomedicine s Promises 16.3. Analysing Implications of the Nanomedicine Paradigm 16.4. The molecular underpinnings of nanomedicine s transversality 16.5. Nanomedicine as predictive medicine 16.6. Nanomedicine as personalized medicine 16.7. Nanomedicine as regenerative medicine 16.8. Conclusion References Chapter 17: Ethical Challenges of Ubiquitous Healthcare William Sims Bainbridge 17.1. Introduction 17.2. A Philosophical Framework 17.3. Information Deviance 17.4. The Current Frenzy 17.5. Genetic Informatics 17.6. Ubiquitous Information Technology 17.7. Stasis versus Progress 17.8. Problematic Ethics 17.9. Leadership in Science and Engineering Ethics 17.10. Conclusion References Chapter 18: The Ethics of Ubiquitous Computing in Healthcare Clark A. Miller, Heather M. Ross, Gaymon Bennett and J. Benjamin Hurlbut 18.1. Introduction 18.2. Ubiquitous Computing and the Transformation of Healthcare: Three Visions 18.3. Case Study: Cardiac Implanted Electrical Devices 18.4. Ethical Reflections 18.5. Conclusions: The Need for Socio-Technical Design References Chapter 19: Privacy Protection of EHR in e-Healthcare Systems Fredrick Japhet Mtenzi 19.1. Introduction 19.2. Security and privacy concerns of EHR in e-Healthcare Systems 19.3. Electronic Healthcare Records Privacy laws and regulations 19.4. Privacy of Electronic Healthcare Records in e-Healthcare Systems 19.5. Discussion and Conclusion 19.6. Contributions and future research References Chapter 20: Ethical, Privacy, and Intellectual Property Issues in Nanomedicine Ayush Chaudhary, Mary M. Eshaghian-Wilner, Arushi Gupta, Ben Shiroma and Pujal Trivedi 20.1. Introduction 20.2. Ethical Issues 20.3. Privacy Issues 20.4. Intellectual Property (IP) Issues 20.5. Conclusion 20.6. Acknowledgements References Chapter 21: Concluding Remarks Mary M Eshaghian-Wilner and Mike Schlesinger 21.1. Wireless Computing in healthcare 21.2. Nanomedicine 21.3. Ethical, privacy and Intellectual Property issues of Nanomedicine and Wireless computing 21.4. Conclusions 21.5. Acknowledgements References