Wave Propagation with HBC in a Human Arm Model

Ahmed D, Kirchner J, Fischer G (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 448-452

Event location: Rochester, MN US

ISBN: 978-1-5090-2984-6

DOI: 10.1109/MeMeA.2017.7985918

Abstract

Today’s interest in health assistance systems, sport activities, person’s vital signs observing and remote patient monitoring require distributing various types of sensors at specific places across the human body. These sensors might be used to measure temperature, blood pressure level, blood glucose level and the like. This implies collecting the data generated at the distributed sensors in a wireless Body Area Network (BAN) and fusing these data at an access point (e.g. wristwatch) and then to a central processing unit (i.e., PC) for diagnosing, as shown in Fig. 1. However, sending data wirelessly is typically a very energy intensive task implying large batteries. Hence, BAN networks have been developed by IEEE 802.15.Task Group (TG6) to serve a variety of applications including medical, consumer lifestyle and the like at a low power consumption. Human Body Communications (HBC) is one technique used in BAN networks that utilizes the human body as a transmission medium to transfer data between sensors on, in or at the proximity of the human body using electrodes (i.e., electrical conductors).

Authors with CRIS profile

Doaa Ahmed Lehrstuhl für Technische Elektronik Jens Kirchner Lehrstuhl für Theoretische Philosophie Georg Fischer Professur für Technische Elektronik

How to cite

APA:

Ahmed, D., Kirchner, J., & Fischer, G. (2017). Wave Propagation with HBC in a Human Arm Model. In Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 448-452). Rochester, MN, US.

MLA:

Ahmed, Doaa, Jens Kirchner, and Georg Fischer. "Wave Propagation with HBC in a Human Arm Model." Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN 2017. 448-452.

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