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Interference reduction and power optimization in wireless EEG

Publication Type : Conference Paper

Thematic Areas : Wireless Network and Application

Publisher : IEEE

Source : Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on, IEEE, Coimbatore (2012)

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Campus : Amritapuri

School : School of Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Wireless Networks and Applications (AWNA)

Year : 2012

Abstract : Designing portable wireless devices for the continuous monitoring of EEG signals, in patients, requires attention to high precision, fast response times, extensive battery life, increased memory, and connectivity. These design factors have been confronted, solutions offered and a comprehensive, reliable and accurate system to wirelessly monitor EEG signals in real-time has been developed. As wireless technology is advancing, the design and development of a more reliable and portable healthcare system is possible. In this paper we propose an efficient wireless sensor network for remote monitoring of patients with neurological disorders that can provide a basic health service to rural areas. As a result, infirm patients will no longer need to travel long distances regularly to reach the nearest healthcare center. Bioelectric signals are often affected by an excessive level of interference, mainly from power supply. In this paper various interference reduction techniques for analog front-end design are considered. Power consumption is another important design challenge for the continuous monitoring. Thus an efficient power reduction technique is considered in the proposed design of a wireless sensor network with reduced interference and optimized power.

Cite this Research Publication : K. A. Unnikrishn Menon, Kavitha, K., and Abishek, T. K., “Interference reduction and power optimization in wireless EEG”, in Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on, Coimbatore, 2012.

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