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Explore and work with tools for Biomedical Data Acquisition and Signal ProcessingKey Featuresa- Get familiar with the working of Biomedical Sensora- Learn how to program Arduino with LabVIEW with easea- Get familiar with the process of interfacing of analog sensors with Arduino Megaa- Use LabVIEW to build an ECG Patient Monitoring Systema- Learn how to interface a simple GSM Module to ArduinoDescriptionBiomedical sensor data acquisition with LabVIEW provides a platform for engineering students to get acquainted with Arduino and LabVIEW programming. Arduino based projects would help to improve the standards of patient care and monitoring in hospitals and the standard of living in cities by implementing a variety of innovative ideas more directly. The goal of this book is to explore and illustrate the programming and interfacing of Arduino with biomedical sensors, communication modules, and LabVIEW GUI.The book begins with essential knowledge and gradually progresses towards the advanced level of comprehension. It starts with a Biomedical sensor-based project with a working model of LabVIEW GUI. It also gives a detailed overview of programming with Arduino IDE and LabVIEW. It covers Interface for Arduino (LIFA), which is a unique contribution that aids in the understanding of embedded systems. This book for high-level students who need application-based knowledge for developing some real-time patient monitoring systems using Arduino and LabVIEW.What will you learna- Learn about the interfacing of Biomedical Sensorsa- Understand how to create GUI with LabVIEWa- Learn about digital and analog sensor interfacing with Arduinoa- Learn how to load the LabVIEW Interface for Arduino without Firmwarea- Learn how to Interface LabVIEW with Arduino Board using FirmwareWho this book is forThis book is for Students/Professionals looking for a career in the growing field of Biomedical Sensors. This book is also for those who want to get familiar with the basics of E-Healthcare systems.Table of Contents1. Introduction to Biomedical Signals2. Introduction to Arduino Mega3. Digital sensor interfacing with Arduino Mega4. Display device interfacing with Arduino Mega5. Analog sensor interfacing with Arduino Mega6. Introduction to interfacing Arduino and LabVIEW without Firmware7. GSR sensor module interfacing using Arduino8. Blood Pressure Sensor Module9. Respiratory (nasal airflow) sensor module10. Temperature Sensor Module11. Body Position Sensor Module12. Introduction to interfacing Arduino and LabVIEWFirmware13. ECG Sensor Module with Arduino14. EMG Sensor Module with Arduino15. Pulse Oximeter interface with ArduinoAbout the AuthorsAnshuman Prakash has completed his M.Tech in Embedded systems specialization in wearable technology from University of Petroleum and Energy Studies, Dehradun, India.Dr. Lovi Raj Gupta is the Executive Dean, Faculty of Technology & Sciences, Lovely Professional University. He is a leading light in the field of Technical and Higher education in the country.Dr. Rajesh Singh is currently associated with Lovely Professional University as Professor with more than Sixteen years of experience in academics. He has been awarded as gold medalist in M.Tech from RGPV, Bhopal (M.P) India and honors in his B.E from Dr. B.R. Ambedkar University, Agra (U.P), India.Dr. Anita Gehlot is currently associated with Lovely Professional University as Associate Professor with more than twelve years of experience in academics. Her area of expertise includes embedded systems, wireless sensor networks and Internet of Things.Rydhm Beri is working as an Assistant Professor in BBK DAV College for Women, Amritsar, since last three years and has 5 years of experience in the field of education.
This authoritative new resource presents fiber optic sensors and their applications in medical device design and biomedical engineering. Readers gain an understanding of which technology to use and adopt, and how to connect technologies with their respective applications. This book explores the innovation of diagnostics and how to use diagnostic tools. Principles of fiber optic sensing are covered and include details about intensity-based sensors, fiber bragg gratings, distributed sensors, and fabry-perot interferometers. This book explores interrogation software, standards for medical sensors, and discusses protocols and tools for validation. Various medical device engineering and applications are examined, including sensor catheterization, cardiovascular sensors, diagnostic in gastroscopy, urology, neurology, sensing in thermal ablation. Applications and detection of SPR sensors are presented, along with minimally invasive robotic surgery, smart textiles, wearable sensors and fiber-optic spectrometric sensors. This is a one-stop reference on fiber optic sensors for biomed applications.
This volume presents the processing of the 15th ICMBE held from 4th to 7th December 2013, Singapore. Biomedical engineering is applied in most aspects of our healthcare ecosystem. From electronic health records to diagnostic tools to therapeutic, rehabilitative and regenerative treatments, the work of biomedical engineers is evident. Biomedical engineers work at the intersection of engineering, life sciences and healthcare. The engineers would use principles from applied science including mechanical, electrical, chemical and computer engineering together with physical sciences including physics, chemistry and mathematics to apply them to biology and medicine. Applying such concepts to the human body is very much the same concepts that go into building and programming a machine. The goal is to better understand, replace or fix a target system to ultimately improve the quality of healthcare. With this understanding, the conference proceedings offer a single platform for individuals and organizations working in the biomedical engineering related field to gather and network with each other in so doing create the catalyst for future development of biomedical engineering in Asia.
This book reports on advances in fundamental and applied research at the interface between nanotechnology and biomedical engineering. Gathering peer-reviewed contributions to the 6th International Conference on Nanotechnologies and Biomedical Engineering, ICNBME held on September 20-23, 2023, in Chisinau, Republic of Moldova, this second volume of the proceedings focuses on clinical engineering and instrumentation, bioinformatics, image and signal processing techniques, and new technologies for medical diagnosis, treatment and personalised medicine. With a good balance of theory and practice, the book offers a timely snapshot of multidisciplinary research at the interface between physics, chemistry, biomedicine, materials science, and engineering.
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.
Advances in technological devices unveil new architectures for instrumentation and improvements in measurement techniques. Sensing technology, related to biomedical aspects, plays a key role in nowadays applications; it promotes different advantages for: healthcare, solving difficulties for elderly persons, clinical analysis, microbiological characterizations, etc.. This book intends to illustrate and to collect recent advances in biomedical measurements and sensing instrumentation, not as an encyclopedia but as clever support for scientists, students and researchers in other to stimulate exchange and discussions for further developments.
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The technological approach and the high level of innovation make bioengineering extremely dynamic and this forces researchers to continuous updating. It involves the publication of the results of the latest scientific research. This book covers a wide range of aspects and issues related to advances in bioengineering research with a particular focus on innovative technologies and applications. The book consists of 13 scientific contributions divided in four sections: Materials Science; Biosensors. Electronics and Telemetry; Light Therapy; Computing and Analysis Techniques.
Take virtual instrumentation to the next level with high-level programming. High-level programming with LabWindows/CVI Live data display via Internet or intranet sources Programmatic creation and control of GUIs Data acquisition and VXI device communication Graph control, table control, function panels, instrument drivers, and Open GL Unleash the true power of LabWindows/CVI when you employ the rich features of this programming environment. In this follow-up to his LabWindows CVI Programming for Beginners, Shahid F. Khalid presents the sophisticated techniques that allow experienced users to make the most of this virtual instrumentation powerhouse. The flexibility of LabWindows/CVI software means that you can build virtual instrumentation using Microsoft Visual Basic and Visual C++ as well as ANSI C. Advanced Topics in LabWindows/CVI focuses on the use of C in an open software architecture. It is a project-oriented guide that will teach you to build applications using the more complex features of this programming environment. Applications include: Live data acquisition via Internet or intranet sources using Data Socket technology GUI controls created and manipulated in real time Advanced features of graph and table controls 3-D data plotting with Open GL Communications with VXI devices using VISA Creating and using function panels and instrument drivers The material is organized to present information with maximum clarity, keeping the reader in mind. For convenience, each chapter concludes with an explanation of the purpose and prototype of the library functions under discussion. Advanced Topics in LabWindows/CVI will give students and working professionals the tools to build and automate sophisticated virtual instrumentation for a world of applications.
This volume presents the proceedings of the joint conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), held in Tampere, Finland, in June 2017. The proceedings present all traditional biomedical engineering areas, but also highlight new emerging fields, such as tissue engineering, bioinformatics, biosensing, neurotechnology, additive manufacturing technologies for medicine and biology, and bioimaging, to name a few. Moreover, it emphasizes the role of education, translational research, and commercialization.