Cognitive Cardiac Rehabilitation Using Iot And Ai Tools

In recent times, research in human-focused robot technologies aims to bring social-emotional intelligence closer, which interconnects with human lifestyles. Among several areas that can benefit from it, the healthcare sector, which consists of many possible areas of therapeutic interposition, is the most vital. Further, there is always concern about patient adherence to cardiac rehabilitation. It is essential to understand the motivational factors affecting patient participation and compliance with cardiac rehabilitation by recognizing and understanding the nature of patient experiences. Cognitive Cardiac Rehabilitation Using IoT and AI Tools describes the application of AI techniques used to extract features from brain and heart signal data and to better efficiency compared to the existing methods. This book also describes the application of AI tools to classify disorders and better performance compared to the existing benchmarks. Covering topics such as cardiac rehabilitation, heart disease prediction, and online social media analytics, this premier reference source is an excellent resource for healthcare professionals, medical engineers, hospital administrators, students and educators of higher education, researchers, and academicians.

Much remains to be known about public utilities system organization, efficiency, management, legislation, practices, and solutions worldwide, as well as the implications for sustainable development in different countries. Thus, a better understanding of the different management practices in public utilities across different contexts is needed to assess their impact on efficiency and sustainability, especially in the changed climate conditions. Transformation and Efficiency Enhancement of Public Utilities Systems: Multidimensional Aspects and Perspectives considers the necessity to transform public utilities systems towards sustainability and efficiency. This publication investigates the performance management process of public utility systems and evaluates the efficiency of public utilities to propose potential improvements. The book encourages amenable authorities to create more efficient and effective management systems and improve their performance. Additionally, it provides the government with a systemic approach to public utilities system transformation and development. Covering key topics such as public hygiene, sustainability, and environmental protection, this premier reference source is ideal for government officials, policymakers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

The academic community is currently facing the challenge of navigating the complexities of swarm robotics. This field demands understanding the design, control, and coordination of autonomous robotic swarms. The intricacies of developing algorithms that facilitate communication, cooperation, and adaptation among simple individual agents remain a formidable obstacle. Addressing issues like task allocation, formation control, path planning, and decentralized decision-making are pivotal to unlocking the true potential of swarm robotics. Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies immerses readers in the cutting-edge realm of swarm robotics, a discipline inspired by the intricate choreography observed in biological systems like insect colonies, bird flocks, and fish schools. Encompassing a rich array of bio-inspired algorithms, mechanisms, and strategies, the text elucidates how robots can communicate, cooperate, and adapt within dynamic environments. The book propels robotics, automation, and artificial intelligence advancements by fostering interdisciplinary connections and charting a course toward more efficient and resilient multi-robot systems. This book is ideal for biologists, engineers, and computer scientists to join forces in unlocking the full potential of swarm robotics.

The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.

Many natural products are known to have health-promoting pharmaceutical activities. For example, capsaicin, curcumin, epigallocatechin, resveratrol, and quercetin have been reported to possess anti-inflammatory activity. Additionally, bioactive agents such as flavonoids, alkaloids, and terpenoids have shown a protective effect against diseases such as cancer, liver diseases, cardiovascular diseases, neurological disorders, diabetes mellitus, and more. Pharmacological Benefits of Natural Agents compiles the beneficial effects of bioactive natural agents with reference to many disease conditions and considers the challenges and future directions for their use. Covering key topics such as cancer, pharmaceutical activities, bioactive compounds, and treatments, this reference work is ideal for medical professionals, pharmacists, biologists, policymakers, researchers, scholars, practitioners, academicians, instructors, and students.

Parkinson’s disease is the second most common neurodegenerative disorder in the world after Alzheimer’s disease. Thanks to the pioneering works of Arvid Carlson in the 20th century identifying dopamine as the main neurochemical agent involved in Parkinson’s disease’s onset and progress, our understanding of the neuropathology has increased. The elaboration of L-Dopa as the first pharmacological treatment approach has brought new hope for curing or at least slowing the neurodegenerative progress and the decline of motor and cognitive functions in Parkinson’s disease patients. To date, imaging techniques along with genetic and biochemical tools have allowed scientists and clinicians to predict and diagnose the disease several years prior to the motor disorder’s appearance. Experimental and Clinical Evidence of the Neuropathology of Parkinson’s Disease sheds light on the history of Parkinson’s disease as well as the recent literature on the epidemiological data worldwide including the prevalence of the disease, the morbimortality rates, and the sex dimorphism and aging components. It addresses the current neuropathological evidence of Parkinson’s disease, including the latest discoveries in terms of neuropathology and treatments available or under clinical trials with the efficacy and limitations of each. Covering topics such as epidemiology, stem cells, and neuropathology, this premier reference source is an excellent resource for clinicians, physicians, epidemiologists, neuroscientists, microbiologists, biochemists, pharmacologists, toxicologists, medical professionals, nurses, medical students and educators, librarians, researchers, and academicians.

The multidisciplinary applications of natural science in drug discovery are essential for identifying and developing new drugs and represent a promising area of research. Drug discovery is a complex and challenging process that involves multiple disciplines, including biology, chemistry, pharmacology, and medicine. One of the most interesting areas of drug discovery is using natural science, which involves the study of natural products and their potential therapeutic benefits, in which the research literature has previously been lacking appropriate attention. Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine is a research book that bridges the gap between traditional and natural science approaches to identify new drug molecules in treating various diseases. The book focuses on allopathic and complementary medicine. It takes a cross-disciplinary examination of biology, chemistry, pharmacology, mathematics, physics, and medicine. This book is suitable for researchers, post-doctoral fellows, graduate students, and post-graduate students interested in exploring natural science's multidisciplinary applications in drug discovery and integrative medicine.

The field of cancer therapeutics faces challenges like limited treatment options, adverse side effects, and drug resistance, leaving a critical gap in addressing this disease. Natural Products as Cancer Therapeutics explores the untapped potential of bioactive compounds derived from nature, providing a fresh perspective on cancer treatment. Authored by esteemed scholars, this book comprehensively examines these compounds and their diverse pharmacological benefits. With cutting-edge research, this book has the potential to revolutionize oncology by expanding treatment options and emphasizing the safety and efficacy of natural compounds. It empowers researchers, practitioners, and scholars to explore new avenues in cancer therapeutics, contributing to improved patient outcomes in the ongoing battle against cancer. Embracing the potential of natural products, this book offers a comprehensive and effective approach to combatting cancer.