Machine Learning Methods For Pain Investigation Using Physiological Signals

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Machine Learning Methods for Pain Investigation Using Physiological Signals

Author : Philip Johannes Gouverneur
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832582576
Total Pages : 228 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Machine Learning Methods for Pain Investigation Using Physiological Signals by : Philip Johannes Gouverneur

Download or read book Machine Learning Methods for Pain Investigation Using Physiological Signals written by Philip Johannes Gouverneur and published by Logos Verlag Berlin GmbH. This book was released on 2024-06-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pain assessment has remained largely unchanged for decades and is currently based on self-reporting. Although there are different versions, these self-reports all have significant drawbacks. For example, they are based solely on the individual’s assessment and are therefore influenced by personal experience and highly subjective, leading to uncertainty in ratings and difficulty in comparability. Thus, medicine could benefit from an automated, continuous and objective measure of pain. One solution is to use automated pain recognition in the form of machine learning. The aim is to train learning algorithms on sensory data so that they can later provide a pain rating. This thesis summarises several approaches to improve the current state of pain recognition systems based on physiological sensor data. First, a novel pain database is introduced that evaluates the use of subjective and objective pain labels in addition to wearable sensor data for the given task. Furthermore, different feature engineering and feature learning approaches are compared using a fair framework to identify the best methods. Finally, different techniques to increase the interpretability of the models are presented. The results show that classical hand-crafted features can compete with and outperform deep neural networks. Furthermore, the underlying features are easily retrieved from electrodermal activity for automated pain recognition, where pain is often associated with an increase in skin conductance.

Statistical Machine Learning for Human Behaviour Analysis

Author : Thomas Moeslund
Publisher : MDPI
ISBN 13 : 3039362283
Total Pages : 300 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Statistical Machine Learning for Human Behaviour Analysis by : Thomas Moeslund

Download or read book Statistical Machine Learning for Human Behaviour Analysis written by Thomas Moeslund and published by MDPI. This book was released on 2020-06-17 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.

Design Studies and Intelligence Engineering

Author : L.C. Jain
Publisher : IOS Press
ISBN 13 : 1643684892
Total Pages : 1126 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Design Studies and Intelligence Engineering by : L.C. Jain

Download or read book Design Studies and Intelligence Engineering written by L.C. Jain and published by IOS Press. This book was released on 2024-02-27 with total page 1126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The discipline of design studies applies various technologies, from basic theory to application systems, while intelligence engineering encompasses computer-aided industrial design, human-factor design, and greenhouse design, and plays a major part within design science. Intelligence engineering technologies also include topics from theory and application, such as computational technologies, sensing technologies, and video detection. This book presents the proceedings of DSIE2023, the 2023 International Symposium on Design Studies and Intelligence Engineering, held on 28 & 29 October 2023 in Hangzhou, China. The conference provides a platform for professionals and researchers from industry and academia to present and discuss recent advances in the fields of design studies and intelligence engineering. It also fosters cooperation among the organizations and researchers involved in these overlapping fields, and invites internationally renowned professors to further explore these topics in some depth, providing the opportunity for them to discuss the technical presentations with conference participants. In all, 275 submissions were received for the conference, 105 of which were accepted after thorough review by 3 or 4 referees for presentation at the conference and inclusion here. Providing a valuable overview of the latest developments, the book will be of interest to all those working in the fields of design studies and intelligence engineering.

The New Frontier of Network Physiology: From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems

Download The New Frontier of Network Physiology: From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems PDF Online Free

Author : Plamen Ch. Ivanov
Publisher : Frontiers Media SA
ISBN 13 : 2889714357
Total Pages : 842 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis The New Frontier of Network Physiology: From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems by : Plamen Ch. Ivanov

Download or read book The New Frontier of Network Physiology: From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems written by Plamen Ch. Ivanov and published by Frontiers Media SA. This book was released on 2022-02-17 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Verónica Vasconcelos
Publisher : Springer Nature
ISBN 13 : 3031492498
Total Pages : 151 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Verónica Vasconcelos

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Verónica Vasconcelos and published by Springer Nature. This book was released on 2023-12-28 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023. The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.

Machine Learning Methods for Pain Investigation Using Physiological Signals

Author : Philip Johannes Gouverneur
Publisher :
ISBN 13 : 9783832558277
Total Pages : 0 pages
Book Rating : 4.5/5 (582 download)

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Book Synopsis Machine Learning Methods for Pain Investigation Using Physiological Signals by : Philip Johannes Gouverneur

Download or read book Machine Learning Methods for Pain Investigation Using Physiological Signals written by Philip Johannes Gouverneur and published by . This book was released on 2024-06-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pain assessment has remained largely unchanged for decades and is currently based on self-reporting. Although there are different versions, these self-reports all have significant drawbacks. For example, they are based solely on the individualâe(tm)s assessment and are therefore influenced by personal experience and highly subjective, leading to uncertainty in ratings and difficulty in comparability. Thus, medicine could benefit from an automated, continuous and objective measure of pain. One solution is to use automated pain recognition in the form of machine learning. The aim is to train learning algorithms on sensory data so that they can later provide a pain rating. This thesis summarises several approaches to improve the current state of pain recognition systems based on physiological sensor data. First, a novel pain database is introduced that evaluates the use of subjective and objective pain labels in addition to wearable sensor data for the given task. Furthermore, different feature engineering and feature learning approaches are compared using a fair framework to identify the best methods. Finally, different techniques to increase the interpretability of the models are presented. The results show that classical hand-crafted features can compete with and outperform deep neural networks. Furthermore, the underlying features are easily retrieved from electrodermal activity for automated pain recognition, where pain is often associated with an increase in skin conductance.

Machine Learning for Non/Less-Invasive Methods in Health Informatics

Author : Kun Qian
Publisher : Frontiers Media SA
ISBN 13 : 2889717089
Total Pages : 174 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Machine Learning for Non/Less-Invasive Methods in Health Informatics by : Kun Qian

Download or read book Machine Learning for Non/Less-Invasive Methods in Health Informatics written by Kun Qian and published by Frontiers Media SA. This book was released on 2021-11-26 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Participative Urban Health and Healthy Aging in the Age of AI

Author : Hamdi Aloulou
Publisher : Springer Nature
ISBN 13 : 3031095936
Total Pages : 317 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Participative Urban Health and Healthy Aging in the Age of AI by : Hamdi Aloulou

Download or read book Participative Urban Health and Healthy Aging in the Age of AI written by Hamdi Aloulou and published by Springer Nature. This book was released on 2022-06-21 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2022, held in Paris, France, in June 2022. The 15 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 33 submissions. They cover topics such as design, development, deployment, and evaluation of AI for health, smart urban environments, assistive technologies, chronic disease management, and coaching and health telematics systems.

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Author : Sudeep Pasricha
Publisher : Springer Nature
ISBN 13 : 303140677X
Total Pages : 571 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing by : Sudeep Pasricha

Download or read book Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing written by Sudeep Pasricha and published by Springer Nature. This book was released on 2023-11-07 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

Real-Time Data Acquisition in Human Physiology

Author : Dipali Bansal
Publisher : Academic Press
ISBN 13 : 0128221569
Total Pages : 208 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Real-Time Data Acquisition in Human Physiology by : Dipali Bansal

Download or read book Real-Time Data Acquisition in Human Physiology written by Dipali Bansal and published by Academic Press. This book was released on 2021-06-15 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation—A MATLAB-Based Approach focuses on the design and development of a computer-based system to detect and digitally process human ECG, EMG, and carotid pulse waveforms in real time. The indigenous system developed and described in this book allows for an easy-to-interface, simple hardware arrangement for bio-signal detection. The computational functionality of MATLAB is verified for viewing, digital filtration, and feature extraction of acquired bio-signals. This book demonstrates a method of providing a relatively cost-effective solution to human physiology real-time monitoring, processing, and interpretation that is more realizable and would directly benefit a larger population of patients. - Presents an application-driven, interdisciplinary, and experimental approach to bio-signal processing with a focus on acquiring, processing, and understanding human ECG, EMG, carotid pulse data and HRV. - Covers instrumentation and digital signal processing techniques useful for detecting and interpreting human physiology in real time, including experimental layout and methodology in an easy-to-understand manner. - Discusses development of a computer-based system that is capable of direct interface through the sound port of a PC and does not require proprietary DAQ units and ADC units. - Covers a MATLAB-based algorithm for online noise reduction, features extraction techniques, and infers diagnostic features in real time. - Provides proof of concept of a PC-based twin channel acquisition system for the recognition of multiple physiological parameters. - Establishes the use of Digital Signal Controller to enhance features of acquired human physiology. - Presents the use of carotid pulse waveforms for HRV analysis in critical situations using a very simple hardware/software arrangement.

Pervasive Computing Technologies for Healthcare

Author : Hadas Lewy
Publisher : Springer Nature
ISBN 13 : 3030991946
Total Pages : 574 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Pervasive Computing Technologies for Healthcare by : Hadas Lewy

Download or read book Pervasive Computing Technologies for Healthcare written by Hadas Lewy and published by Springer Nature. This book was released on 2022-03-22 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 28 full and 7 short papers were selected from 74 submissions and are organized in 3 main tracks: hospitality and community care, homecare and medical education. The COVID 19 pandemic was challenging all dimensions of Pervasive Health (PH) and traditional ways of monitoring, diagnosing, treating and communicating changed dramatically.

Machine learning in clinical decision-making

Author : Tyler John Loftus
Publisher : Frontiers Media SA
ISBN 13 : 2832533256
Total Pages : 121 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Machine learning in clinical decision-making by : Tyler John Loftus

Download or read book Machine learning in clinical decision-making written by Tyler John Loftus and published by Frontiers Media SA. This book was released on 2023-09-07 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Analysis

Author : Puneet Sharma
Publisher : Springer
ISBN 13 : 3319591290
Total Pages : 496 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Image Analysis by : Puneet Sharma

Download or read book Image Analysis written by Puneet Sharma and published by Springer. This book was released on 2017-05-22 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 10269 and 10270 constitutes the refereed proceedings of the 20th Scandinavian Conference on Image Analysis, SCIA 2017, held in Tromsø, Norway, in June 2017. The 87 revised papers presented were carefully reviewed and selected from 133 submissions. The contributions are structured in topical sections on history of SCIA; motion analysis and 3D vision; pattern detection and recognition; machine learning; image processing and applications; feature extraction and segmentation; remote sensing; medical and biomedical image analysis; faces, gestures and multispectral analysis.

Handbook of Research on Applied Intelligence for Health and Clinical Informatics

Author : Thakare, Anuradha Dheeraj
Publisher : IGI Global
ISBN 13 : 1799877108
Total Pages : 470 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Applied Intelligence for Health and Clinical Informatics by : Thakare, Anuradha Dheeraj

Download or read book Handbook of Research on Applied Intelligence for Health and Clinical Informatics written by Thakare, Anuradha Dheeraj and published by IGI Global. This book was released on 2021-10-22 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently, informatics within the field of public health is a developing and growing industry. Clinical informatics are used in direct patient care by supplying medical practitioners with information that can be used to develop a care plan. Intelligent applications in clinical informatics facilitates with the technology-based solutions to analyze data or medical images and help clinicians to retrieve that information. Decision models aid with making complex decisions especially in uncertain situations. The Handbook of Research on Applied Intelligence for Health and Clinical Informatics is a comprehensive reference book that focuses on the study of resources and methods for the management of healthcare infrastructure and information. This book provides insights on how applied intelligence with deep learning, experiential learning, and more will impact healthcare and clinical information processing. The content explores the representation, processing, and communication of clinical information in natural and engineered systems. This book covers a range of topics including applied intelligence, medical imaging, telehealth, and decision support systems, and also looks at technologies and tools used in the detection and diagnosis of medical conditions such as cancers, diabetes, heart disease, lung disease, and prenatal syndromes. It is an essential reference source for diagnosticians, medical professionals, imaging specialists, data specialists, IT consultants, medical technologists, academicians, researchers, industrial experts, scientists, and students.

EEG Signal Processing and Machine Learning

Author : Saeid Sanei
Publisher : John Wiley & Sons
ISBN 13 : 1119386934
Total Pages : 756 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis EEG Signal Processing and Machine Learning by : Saeid Sanei

Download or read book EEG Signal Processing and Machine Learning written by Saeid Sanei and published by John Wiley & Sons. This book was released on 2021-09-23 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: EEG Signal Processing and Machine Learning Explore cutting edge techniques at the forefront of electroencephalogram research and artificial intelligence from leading voices in the field The newly revised Second Edition of EEG Signal Processing and Machine Learning delivers an inclusive and thorough exploration of new techniques and outcomes in electroencephalogram (EEG) research in the areas of analysis, processing, and decision making about a variety of brain states, abnormalities, and disorders using advanced signal processing and machine learning techniques. The book content is substantially increased upon that of the first edition and, while it retains what made the first edition so popular, is composed of more than 50% new material. The distinguished authors have included new material on tensors for EEG analysis and sensor fusion, as well as new chapters on mental fatigue, sleep, seizure, neurodevelopmental diseases, BCI, and psychiatric abnormalities. In addition to including a comprehensive chapter on machine learning, machine learning applications have been added to almost all the chapters. Moreover, multimodal brain screening, such as EEG-fMRI, and brain connectivity have been included as two new chapters in this new edition. Readers will also benefit from the inclusion of: A thorough introduction to EEGs, including neural activities, action potentials, EEG generation, brain rhythms, and EEG recording and measurement An exploration of brain waves, including their generation, recording, and instrumentation, abnormal EEG patterns and the effects of ageing and mental disorders A treatment of mathematical models for normal and abnormal EEGs Discussions of the fundamentals of EEG signal processing, including statistical properties, linear and nonlinear systems, frequency domain approaches, tensor factorization, diffusion adaptive filtering, deep neural networks, and complex-valued signal processing Perfect for biomedical engineers, neuroscientists, neurophysiologists, psychiatrists, engineers, students and researchers in the above areas, the Second Edition of EEG Signal Processing and Machine Learning will also earn a place in the libraries of undergraduate and postgraduate students studying Biomedical Engineering, Neuroscience and Epileptology.

Enhancing Medical Imaging with Emerging Technologies

Author : Sharma, Avinash Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 412 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Enhancing Medical Imaging with Emerging Technologies by : Sharma, Avinash Kumar

Download or read book Enhancing Medical Imaging with Emerging Technologies written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-04-15 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field. Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medical imaging systems, including the fundamentals of system theory and image processing, the book serves as a foundational resource for understanding the complex world of medical imaging. It covers various imaging modalities, from conventional camera systems to advanced techniques like magnetic resonance imaging and optical coherence tomography, offering readers a holistic view of the field. This book is a valuable resource that inspires hope, sparks curiosity, and paints a vivid picture of the limitless potential of medical imaging.

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Author : Kyandoghere Kyamakya
Publisher : MDPI
ISBN 13 : 3036511385
Total Pages : 550 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Emotion and Stress Recognition Related Sensors and Machine Learning Technologies by : Kyandoghere Kyamakya

Download or read book Emotion and Stress Recognition Related Sensors and Machine Learning Technologies written by Kyandoghere Kyamakya and published by MDPI. This book was released on 2021-09-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.