Bioelectronics and Medical Devices Applications and Technology, 1st Edition by Garima Srivastava, Manju Khari
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- Pages
- 255
- File size
- 3.16 MB
- Format
- Digital PDF
- Course
- Biomedical
- Category
- eBook[PDF]
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About this ebook
The textbook Bioelectronics and Medical Devices: Applications and Technology (1st Edition), edited by Garima Srivastava and Manju Khari and published by Apple Academic Press, covers a broad range of theoretical and experimental approaches in modern healthcare technology. [1, 2]
The primary chapters and core topics covered in the text include: [1]
📡 Biomedical Antennas & Telemetry
A unique highlight of this book is its dedicated section (spanning three chapters) on antennas designed specifically for healthcare environments: [1]
- Antennas for Biomedical Applications: Designing communication components for wearable or implantable devices.
- RF Energy Harvesting: Utilizing radio frequency energy harvesting to power biomedical applications wirelessly without heavy batteries.
- Compact Monopole Antennas: Implementation of compact monopole antennas featuring a circularly polarized band.
- Medical Telemetry: Dedicated antenna applications for remote medical monitoring and data transmission. [1, 2]
💻 Machine Learning & Software Systems
The text bridges software engineering and clinical data science through:
- Support Vector Machines (SVM): Evaluating software fault proneness specifically within medical device software systems.
- Machine Learning in Bioinformatics: Deploying machine learning algorithms to process biological datasets and genomic sequences. [1, 2]
🌐 Smart & Wireless E-Health Applications
- Internet of Things (IoT) for Healthcare: Constructing connected frameworks for continuous patient health monitoring and real-time alerts. [1, 2]
- Wireless e-Pills: Exploring the engineering, feasibility, and deployment of smart, wireless electronic capsules for internal diagnostics and targeted drug delivery. [1, 2]
- Image and Signal Processing: Algorithmic techniques used to process biomedical signals and medical imaging within e-health ecosystems. [1, 2]
🔬 Advanced Sensors
- Split Ring Resonators (SRR): Using SRR configurations to create high-precision biomedical sensors capable of detecting minute biological changes. [1]
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