A major constraint on ubiquitous and non-invasive sensors integrated into a user's daily clothing and living activities is the power requirement that leads either to short battery life or cumbersome batteries. The problem is addressed here by designing efficient and compact antenna systems. The system will be cooperative and aware of the surrounding environment and neighboring units, so can provide efficient and low-power wireless connectivity for personal area and body area networks. The topics are frequency band allocation for body area networks, antenna design requirements for wireless body area and wireless sensor networks, cooperative and low-power wireless sensor networks for body-centric applications, and the design of body-worn radar-based sensors for vital sign monitoring. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
With the advances in small and low-cost radio transceivers and RF front-ends development, the possibility of applying ubiquitous and non-invasive sensors integrated into users daily clothing and living activities seems more feasible. The ability to share data increases the usefulness of personal information devices, providing features not possible with independent isolated devices. Current wireless sensor solutions are limited in that they do not provide the means to overcome obstacles and shadowing of propagating radio waves. Thus for reliable communications an increase in power consumption is required, reducing battery life. This book addresses the limitations outlined above by designing efficient and compact antenna systems. These systems will be cooperative and also aware of the surrounding environment and neighboring units, providing efficient and low power wireless connectivity for personal area network (PAN) and body area network (BAN) applications.
- Analysis of wearable antenna design and performance
- Addresses the Influence of body-worn antennas on radio channels and radio device performance from a power and error rate perspective.
- Cooperative networking principles applied to body area networks, showing the pros and cons of such concepts
- Real life case scenarios using ECG sample signals for potential application to healthcare monitoring.
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