Studies in Skin Perfusion Dynamics


Book Description

This book talks about photoplethysmography (PPG) techniques based on computer-aided data processing. In particular, it presents the results of a co-operative Indo-German project on the topic between Indian Institute of Technology at Chennai and RWTH Aachen University. Measuring system design, experimental details and some preliminary results obtained so far within the framework of this project are presented here. From the investigations carried out so far using the PPG sensors in conjunction with breathing sensors, it has been possible to monitor the 0.125 to 0.15 Hz rhythms in the arterial volumetric changes and to study the influence of breathing on them. These rhythms, which according to medical experts have relevance to psychosomatic conditions e.g. stress or relaxation, can also be addressed to by ancient Indian practices like yoga and meditation. This book presents the results of studying the effects of Indian relaxation techniques like pranayama, meditation, etc. in comparison to western relaxation techniques like autogenic training. So far it has been established that the Indian techniques of relaxation like yoga and meditation are very effective in generating low frequency rhythms in the skin perfusion as monitored by optical sensors. According to medical experts, these low frequency rhythms have a very important bearing on the human physiology and have potential therapeutic implications. This book is meant to provide an overview of the current state-of-knowledge and encourage the next generation of scientists/engineers to carry this work forward, especially on the novel PPG application fields that are of growing importance like pain and stress assessment, detection of peripheral venous saturation and local arterio-venous oxygen consumption as well as contactless space resolved skin perfusion studies with modern camera based PPG technology.




Applied Physiology in Intensive Care Medicine 2


Book Description

The two previous editions of Applied Physiology in Intensive Care Medicine proved extremely successful, and the book has now been revised and split into two volumes to enhance ease of use. In this second volume some of the most renowned experts in the field offer detailed reviews on measurement techniques and physiological processes of crucial importance in intensive care medicine. Throughout, a key aim is to help overcome the fundamental unevenness in clinicians’ understanding of applied physiology, which can lead to suboptimal treatment decisions. Applied Physiology in Intensive Care has been written by some of the most renowned experts in the field and provides an up-to-date compendium of practical bedside knowledge essential to the effective delivery of acute care medicine. It will serve the clinician as an invaluable reference source on key issues regularly confronted in everyday practice.




Electromagnetic and Acoustic Waves in Bioengineering Applications


Book Description

The book deals with the analysis of oscillations, mechanical and electromagnetic waves, and their use in medicine. Each chapter contains the theoretical basis and the use of relevant phenomena in medical practice. Description of oscillations is important for understanding waves and the nature of magnetic resonance. A chapter on mechanical waves describes the origin and properties of sound, infrasound and ultrasound, their medical applications, and perception of sound by human hearing. A chapter on electromagnetic waves examines their origin, properties, and applications in therapy and diagnostics. Subsequent chapters describe how interference and diffraction lead to applications like optical imaging, holography, virtual reality, and perception of light by human vision. Also addressed is how quantum properties of radiation helped develop the laser scalpel, fluorescence microscopy, spectroscopy, X-rays, and gamma radiation.




Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing


Book Description

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals.In addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered. - Provides details regarding the application of various signal processing and machine learning-based methods for cardiovascular signal analysis - Covers methodologies as well as experimental results and studies - Helps readers understand the use of different cardiac signals such as ECG, PCG, and PPG for the automated detection of heart ailments and other related biomedical applications




Multi-Modality Imaging


Book Description

This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.




Quantitative Dynamic Telethermometry in Medical Diagnosis and Management


Book Description

This book describes conceptually new techniques in quantitative telethermometry based on monitoring the rapid changes in skin temperature in time with a fast, computerized infrared camera. Quantitative Dynamic Telethermometry in Medical Diagnosis and Management cites many hundreds of clinical research papers that demonstrate the wide range of potential applications for this technique. It also provides a critical review of the conceptual differences between the classical static qualitative and this novel dynamic quantitative methodology. Dynamic area telethermometry is being recognized now as a major medical tool for the twenty-first century.




Dynamic Light Scattering Imaging


Book Description

This book examines Dynamic Light Scattering (DLS) and its derivatives Laser Doppler Flowmetry (LDF), Diffusing Wave Spectroscopy (DWS), Laser Speckle Contrast Imaging (LSCI), and Doppler Optical Coherence Tomography (OCT) for characterizing particle motion in turbid mediums like suspensions and solutions. It focuses on non-invasive blood flow imaging in biological tissues, detailing technological advancements, practical applications, and inherent challenges. Essential for professionals in biomedical optics and medical fields, as well as physics and engineering students, the book highlights its use in brain, skin, and micro-circulation studies, providing key insights and practical guidance. Key Features: • Presents a deep dive into DLS and its derivative techniques. • Emphasizes practical applications, including brain blood flow monitoring, skin perfusion measurements, and micro-circulation characterization. • Delivers insights into the challenges and limitations associated with DLS-based blood flow imaging.




Health Effects of Transport-related Air Pollution


Book Description

Diseases related to the air pollution caused by road transport affect tens of thousands of people in the WHO Europe region each year. This publication considers the policy challenges involved in the need to reduce the related risks to public health and the environment, whilst meeting socio-economic requirements for effective transport systems. It sets out a systematic review of the literature and a comprehensive evaluation of the health hazards of transport-related air pollution, including factors determining emissions, the contribution of traffic to pollution levels, human exposure and the results of epidemiological and toxicological studies to identify and measure the health effects, and suggestions for policy actions and further research.




Blood Flow Dynamics in Burns


Book Description

Objectives: Burns of intermediate thickness are hard to evaluate clinically. This often leads to unnecessary delays of up to 14 days before a surgical decision can be made. To counter this, several objective methods have been developed to determine the healing potential of the wound. Over the years, measurement of perfusion has proven to be the most successful method for evaluation of healing potential. Laser Doppler imaging (LDI) is currently the most used method and can determine surgical need 2 days after injury with an accuracy >90%. There are however emerging techniques like laser speckle contrast imaging (LSCI), which also measure perfusion. LSCI have several advantages over LDI and is easier to use. LSCI can also investigate aspects of the microcirculation, previously not possible with LDI. The aim of this thesis was to investigate LSCI’s ability to evaluate surgical need in burns of indeterminate partial-thickness. The first objective was to investigate the dynamics of perfusion the first 14 days after injury. The purpose was to find the optimal time-window for perfusion measurements. The next goal was to determine the accuracy of different perfusion cut-offs. In this second study, the benefit of a subsequent measurement was also investigated. After this, interobserver variation between different profession groups was studied. Both the agreement of perfusion measurements and observer assessments were evaluated. Finally, cardiac vasomotion in combination with perfusion (pulsatility) was investigated as a method to determine surgical need <48 hours after injury. Methods: Perfusion was measured in a total of 77 patients at the Department of Plastic Surgery, Hand Surgery and Burns at Linköping University Hospital, Sweden. Most of these patients were children and the most common type of burn was scalds. A laser speckle contrast imager (PeriCam PSI System, Perimed AB, Järfälla, Sweden) was used to measure perfusion. Results: In the first paper we showed a clear relation between perfusion dynamics and the healing potential of the wound. The changes in perfusion were largest the first 5 days after injury, why this time interval was selected for subsequent papers. Perfusion measurements done day 3-4 after injury could predict surgical need with a sensitivity of 100% (95% CI: 83.9-100%) and a specificity of 90.4% (95% CI: 83.8-94.9%). If two measurements were used, <24 hours and 3-4 days after injury, the accuracy was 100%. Furthermore, we found that different observers could consistently predict perfusion, while there was a large variation in their clinical assessments. This was not improved by extensive burn experience. Finally, pulsatility could be used to predict surgical need the same day as the injury occurred with a sensitivity of 100% (95% CI: 88.1-100%) and a specificity of 98.8% (95% CI: 95.7- 99.9%). Conclusions: LSCI is a promising method for evaluation of burns and provides several benefits over LDI. The surgical need of burns can be determined mere hours after injury when pulsatility is measured. However, the benefits of early scald diagnostics in children with LSCI need to be evaluated in a prospective study before the method is ready for routine clinical use.




Research Awards Index


Book Description