Artificial Intelligence and Ambient Intelligence

This book includes a series of scientific papers published in the Special Issue on Artificial Intelligence and Ambient Intelligence at the journal Electronics MDPI. The book starts with an opinion paper on “Relations between Electronics, Artificial Intelligence and Information Society through Information Society Rules”, presenting relations between information society, electronics and artificial intelligence mainly through twenty-four IS laws. After that, the book continues with a series of technical papers that present applications of Artificial Intelligence and Ambient Intelligence in a variety of fields including affective computing, privacy and security in smart environments, and robotics. More specifically, the first part presents usage of Artificial Intelligence (AI) methods in combination with wearable devices (e.g., smartphones and wristbands) for recognizing human psychological states (e.g., emotions and cognitive load). The second part presents usage of AI methods in combination with laser sensors or Wi-Fi signals for improving security in smart buildings by identifying and counting the number of visitors. The last part presents usage of AI methods in robotics for improving robots’ ability for object gripping manipulation and perception. The language of the book is rather technical, thus the intended audience are scientists and researchers who have at least some basic knowledge in computer science

Health Care for Older Adults

In recent decades, life expectancy has been increasing. This is a historical milestone in the history of humanity. We have never lived so long before. In these circumstances, giving the best care to older adults efficiently is one of the greatest challenges of developed countries. This book explores different initiatives that result in the improvement of health conditions of older adults, such as multicomponent physical exercise programs, interventions that try to avoid loneliness and social isolation, and multidisciplinary assessment, and the treatment of frailty and other geriatric syndromes, of the elderly in various settings such as the Emergency Unit, Orthogeriatrics, and Oncogeriatrics. This book offers different manuscripts to readers, each trying to improve life satisfaction, quality of life, and life expectancy in older adults in different scenarios. It is up to us to achieve these goals. We are sure that these interesting chapters will contribute to improving clinical practices. Following the completion of the Special Issue "Health Care for Older Adults" for the international Journal of Environmental Research and Public Health, the Guest Editors felt the satisfaction of having reached 18 published manuscripts and the possibility of transforming this volume into a book. This book was born from the need to show how health and social advances have increased human longevity as never before. We live longer, knowing more and more the epigenetic mechanisms of this longevity, as extended aging also coexists with the least favorable aging trajectories. Among them, a syndrome stands out from the gerontological and geriatric perspective: frailty. Due to the pandemic, a social problem has increased its presence in clinical practice: ageism. Older adults have found it difficult to access the necessary clinical resources due to the simple matter of age. However, at this moment, we are able to detect and to reverse frailty. In the same way, we should aim to prevent loneliness and social isolation, involved in social frailty. Geriatric syndromes are underdiagnosed and undertreated, but clinical and geriatric knowledge provide diagnostic tools and non-pharmacological approaches to prevent and to treat them. All health professionals working together in an interdisciplinary team could improve the clinical practices to develop a quality health care for older adults, improving their life satisfaction and quality of life perception too

Signal Processing Using Non-invasive Physiological Sensors

Non-invasive biomedical sensors for monitoring physiological parameters from the human body for potential future therapies and healthcare solutions. Today, a critical factor in providing a cost-effective healthcare system is improving patients' quality of life and mobility, which can be achieved by developing non-invasive sensor systems, which can then be deployed in point of care, used at home or integrated into wearable devices for long-term data collection. Another factor that plays an integral part in a cost-effective healthcare system is the signal processing of the data recorded with non-invasive biomedical sensors. In this book, we aimed to attract researchers who are interested in the application of signal processing methods to different biomedical signals, such as an electroencephalogram (EEG), electromyogram (EMG), functional near-infrared spectroscopy (fNIRS), electrocardiogram (ECG), galvanic skin response, pulse oximetry, photoplethysmogram (PPG), etc. We encouraged new signal processing methods or the use of existing signal processing methods for its novel application in physiological signals to help healthcare providers make better decisions

Big Data Analytics and Information Science for Business and Biomedical Applications

The analysis of Big Data in biomedical as well as business and financial research has drawn much attention from researchers worldwide. This book provides a platform for the deep discussion of state-of-the-art statistical methods developed for the analysis of Big Data in these areas. Both applied and theoretical contributions are showcased