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Signal Processing and Machine Learning for Biomedical Big Data
Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzin...
Mobile Communications Handbook
With 26 entirely new and 5 extensively revised chapters out of the total of 39, the Mobile Communications Handbook, Third Edition presents an in-depth and up-to-date overview of the full range of wireless and mobile technologies that we rely on every day. This includes, but is not limited to, everything from digital cellular mobile radio and evolving personal communication systems to wireless data and wireless networks Illustrating the extraordinary evolution of wireless communications and networks in the last 15 years, this book is divided into five sections: Basic Principles provides the essential underpinnings for the wide-ranging mobile communication technologies currently in use through...
Cutting-edge Technologies in Biological Sensing and Analysis
Advanced technologies have been transforming the ways we carry out biological studies as well as deliver healthcare. While micro- and nano-fabrication have provided miniaturized sensors and systems with better sensitivity and selectivity,; innovations in flexible electronics, biomaterials and telecommunications have helped in enabling novel biomedical devices, reducing cost, bringing convenience and establishing mobile-health (m-Health), and personalized- and tele-medicine. Further, the recent rise of the internet of things (IoTs) and machine learning-based approaches has paved the avenue for those biomedical systems to become popular and widely accepted by our society. In this context, we edit this book aiming to cover a broad field of novel technologies used in biological assessment and analysis for humans, animal models and in vitro platforms, in both health monitoring and biological studies. Technical topics discussed in the book include: Biosensing systems and biomedical techniques Imaging techniques and systems Biosignal analysis Animal models used in biological research
Artificial Intelligence & Games
As has been pointed out by several industrial game AI developers the lack of behavioral modularity across games and in-game tasks is detrimental for the development of high quality AI [605, 171]. An increasingly popular method for ad-hoc behavior authoring that eliminates the modularity limitations of FSMs and BTs is the utility-based AI approach which can be used for the design of control and decision making systems in games [425, 557]. Following this approach, instances in the game get assigned a particular utility function that gives a value for the importance of the particular instance [10, 169]. For instance, the importance of an enemy being present at a particular distance or the impor...
Collaborative Intelligence
A deep look into the multifaceted landscape of artificial intelligence, considering AI’s ethical and societal implications and celebrating its diverse and innovative applications. In this edited collection Collaborative Intelligence, Mira Lane and Arathi Sethumadhavan embark on a captivating exploration of artificial intelligence. The book delves deeply into the dynamic interplay between theory and practice, shedding light on the transformative potential and complexities of AI. For practitioners deeply immersed in the world of AI, Lane and Sethumadhavan offer firsthand accounts and insights from technologists, academics, and thought leaders, as well as a series of compelling case studies, ...
Neurophysiology in Alzheimer's Disease and Dementia
Alzheimer's disease (AD) and dementia are the most common neurodegenerative disorder. Since the number of individuals with AD and dementia is expected to increase considerably in the near future, reliable treatment and diagnosis are critical. EEG and neurophysiological technique could be used as a cost-effective screening tool for early detection and diagnosis in the Mild Cognitive Impairment (MCI) stage. The aim in neurophysiology research is to develop signal processing methods that improve the specificity for diagnosing dementia; we wish to discover signal features that not only significantly differ in AD patients, but also allow us to reliably separate AD patients and control subjects. T...
Effective emotion regulation system using speech signal
This book is an important reference to researchers and practitioners in the field of modern speech and emotional recognition. The purpose of the book is two different fold: first, to set the basic theoretical information of different classifications which is relevant to the human emotion recognition domain; second, to propose a practical orientation implementation of these methods to the emotion recognition system and also this book having the detailed description of different mathematical models which is used for recognition of human emotions.
Emotion and Attention Recognition Based on Biological Signals and Images
Emotion, stress, and attention recognition are the most important aspects in neuropsychology, cognitive science, neuroscience, and engineering. Biological signals and images processing such as galvanic skin response (GSR), electrocardiography (ECG), heart rate variability (HRV), electromyography (EMG), electroencephalography (EEG), event-related potentials (ERP), eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) have a great help in understanding the mentioned cognitive processes. Emotion, stress, and attention recognition systems based on different soft computing approaches have many engineering and medical applications. The book E...
Multiscale Entropy Approaches and Their Applications
Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associa...
Proceeding of National Conference On Recent Innovations in Emerging Computer Technologies (NCRIECT-2023)
The National Conference on Recent Innovations in Emerging Computer Technologies (NCRIECT-2023) was held on the 9th and 10th of May 2023 at Kalinga University, Raipur. The conference was aimed at bringing together researchers, scholars, academicians, and industry professionals to discuss the latest advancements and innovations in the field of computer technologies. The conference began with an opening ceremony, where the chief guests and dignitaries were welcomed by the organizers. The keynote address was delivered by a renowned expert in the field of computer technologies, who spoke about the importance of innovation in driving progress and growth in the industry. This was followed by techni...
