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In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.
In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.
While most books contain some information on related sensors topics, they are limited in their scope on biomedical sensors. Sensors in Biomedical Applications: Fundamentals, Design, Technology and Applications is the first systematized book to concentrate on all available and potential sensor devices of biomedical applications! Sensors in Bi
Written by an interdisciplinary group of experts from both industry and academia, Acoustic Wave Sensors provides an in-depth look at the current state of acoustic wave devices and the scope of their use in chemical, biochemical, and physical measurements, as well as in engineering applications. Because of the inherent interdisciplinary applications of these devices, this book will be useful for the chemist and biochemist interested in the use and development ofthese sensors for specific applications; the electrical engineer involved in the design and improvement of these devices; the chemical engineer and the biotechnologist interested in using these devices for process monitoring and control; and the sensor community at large. Provides in-depth comparison and analyses of different types of acoustic wave devices Discusses operating principles and design considerations Includes table of relevant material constants for quick reference Presents an extensive review of current uses of these devices for chemical, biochemical, and physical measurements, and engineering applications
Sensors are the eyes, ears, and more, of the modern engineered product or system- including the living human organism. This authoritative reference work, part of Momentum Press's new Sensors Technology series, edited by noted sensors expert, Dr. Joe Watson, will offer a complete review of all sensors and their associated instrumentation systems now commonly used in modern medicine. Readers will find invaluable data and guidance on a wide variety of sensors used in biomedical applications, from fluid flow sensors, to pressure sensors, to chemical analysis sensors. New developments in biomaterials- based sensors that mimic natural bio-systems will be covered as well. Also featured will be ample references throughout, along with a useful Glossary and symbols list, as well as convenient conversion tables.
This thesis develops array signal processing theories for selected biomedical applications involving acoustic waves. Specifically, we consider source localization in the interior of sensor arrays for lung sound localization and efficient algorithms for photoacoustic imaging. Lung sound localization provides quantitative results to the extent and location of lung disorders. Photoacoustic imaging is important for the early detection of cancer and has numerous other biomedical applications. Previous lung sound localization methods cannot deal with multiple sources or have analytical performance measures. We propose two methods utilizing the eigen basis decomposition of the wavefield and the Minimum Variance spectrum for multiple source localization. Analytical performance measures were derived for resolution and spatial aliasing. The performance of our methods for lung sound localization together with the performance measures were proven by simulations. We consider the photoacoustic inversion problem from a frequency invariant source localization perspective. Complete series and fast photoacoustic inversion methods have not been developed for the circular and spherical sensor geometries. A new theory is developed for photoacoustic reconstruction where the source distribution is expanded with a suitable series expansion such that separating the modes in the wavefield expansion at particular frequencies, separates the information in the source expansion. This theory is applied for photoacoustic inversion using a circular acquisition geometry. The source is expanded using a Fourier Bessel series and the coefficients are estimated by processing frequencies corresponding to the Bessel zeros. The proposed method is faster than previous approaches and the derivation is valid even for finite measurement bandwidth. This new theory is flexible enough to be applied for arbitrary sensor geometries and allows the selection of a minimum number of frequency samples for reconstruction. For previous frequency domain methods, there was no way to determine the minimum number of frequency samples required. Further, numerical experiments proved the effectiveness of our approach. The extension of the proposed theory for photoacoustic inversion with a spherical array geometry was proposed. This new method expands the source distribution with a spherical Fourier Bessel series whose coefficients were now obtained by processing frequencies corresponding to the spherical Bessel zeros. Using computational order analysis and numerical experiments, this proposed method was shown to be faster than the backprojection and the Fourier series methods. To enhance the reconstruction of our proposed methods, we introduced a subgradient based Total Variation (TV) minimization and an alternating projections post processing method. Both these methods were designed to handle the large data sets present in photoacoustic tomography. Applications of these two post processing ideas to previously proposed inversion methods are either difficult or impossible. The proposed inversion methods provide projection of the source distribution onto a set of basis functions. Therefore, these two post processing methods were developed to reconstruct a source distribution that preserves these projections and ensures that the source distribution is non-negative. Numerical experiments performed showed that reconstruction quality was improved by applying these two post processing methods. Further, the TV minimization method provided better reconstruction when compared to the alternating projections method.
Acoustic Technologies in Biology and Medicine Complete, balanced resource encompassing all required technical, theoretical, and applied multidisciplinary knowledge related to acoustics Taking a multidisciplinary approach involving fluid mechanics, physics, chemistry, electronics, and the life sciences to provide a unified and competent overview of the field, Acoustic Technologies in Biology and Medicine covers the fundamental principles of acoustic wave generation and propagation, different acoustic systems and technologies with the interplay of physical forces, theoretical foundations, and the state-of-the-art biomedical applications of acoustics. State-of-the-art applications of acoustics in biology and medicine are presented, including single cell and organism manipulation, acoustic biosensing, cancer cell isolation (liquid biopsy), cell/tissue stimulation and ablation, micro-robot actuation, acoustic imaging, and drug delivery. Contributed to and edited by highly qualified professionals with significant experience in the field, Acoustic Technologies in Biology and Medicine covers sample topics such as: Materials for acoustic wave generation and modulation, ultrasound imaging, and photoacoustic imaging and sensing for biomedical applications Therapeutic ultrasound, application of ultrasound responsive reagents for drug delivery systems, and acoustic levitation and acoustic holograms Application of ultrasonic waves in bioparticle manipulation and separation, acoustic biosensors, and acoustic micro and nanorobots in medicine Different technologies of acoustic systems, including bulk and surface acoustic wave-based platforms, acoustic imaging, acoustic sensors, and acoustic levitators A cornerstone reference bridging the gap between rapidly advancing acoustic technologies with state-of-the-art applications in biology and medicine, Acoustic Technologies in Biology and Medicine is an essential resource on the subject for biophysicists, materials scientists, biotechnologists, bioengineers, sensor developers, electronics engineers, and all professionals in the greater biotechnological industry.
Light on physics and math, with a heavy focus on practical applications, Optical, Acoustic, Magnetic, and Mechanical Sensor Technologies discusses the developments necessary to realize the growth of truly integrated sensors for use in physical, biological, optical, and chemical sensing, as well as future micro- and nanotechnologies. Used to pick up sound, movement, and optical or magnetic signals, portable and lightweight sensors are perpetually in demand in consumer electronics, biomedical engineering, military applications, and a wide range of other sectors. However, despite extensive existing developments in computing and communications for integrated microsystems, we are only just now seeing real transformational changes in sensors, which are critical to conducting so many advanced, integrated tasks. This book is designed in two sections—Optical and Acoustic Sensors and Magnetic and Mechanical Sensors—that address the latest developments in sensors. The first part covers: Optical and acoustic sensors, particularly those based on polymer optical fibers Potential of integrated optical biosensors and silicon photonics Luminescent thermometry and solar cell analyses Description of research from United States Army Research Laboratory on sensing applications using photoacoustic spectroscopy Advances in the design of underwater acoustic modems The second discusses: Magnetic and mechanical sensors, starting with coverage of magnetic field scanning Some contributors’ personal accomplishments in combining MEMS and CMOS technologies for artificial microsystems used to sense airflow, temperature, and humidity MEMS-based micro hot-plate devices Vibration energy harvesting with piezoelectric MEMS Self-powered wireless sensing As sensors inevitably become omnipresent elements in most aspects of everyday life, this book assesses their massive potential in the development of interfacing applications for various areas of product design and sciences—including electronics, photonics, mechanics, chemistry, and biology, to name just a few.
This handbook is an interdisciplinary and comprehensive reference covering all aspects of cell biosensors. It is divided into four main sections which are led and organized by numerous international experts. The scope of coverage includes: Fundamentals and genetics for biosensor applications Transducers, Materials and Systems Markets, innovation and education Application of biosensors in business Biosensor research is an exciting hybrid world where biologists, chemists, physicists, engineers and computer engineers come together. This handbook will serve as an invaluable living resource for all researchers in academia and industry working with cell biosensors.
This thesis covers a broad range of interdisciplinary topics concerning electromagnetic-acoustic (EM-Acoustic) sensing and imaging, mainly addressing three aspects: fundamental physics, critical biomedical applications, and sensing/imaging system design. From the fundamental physics perspective, it introduces several highly interesting EM-Acoustic sensing and imaging methods, which can potentially provide higher sensitivity, multi-contrast capability, and better imaging performance with less distortion. From the biomedical applications perspective, the thesis introduces useful techniques specifically designed to address selected challenging biomedical applications, delivering rich contrast, higher sensitivity and finer spatial resolution. Both phantom and ex vivo experiments are presented, and in vivo validations are progressing towards real clinical application scenarios.