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Improving the energy efficiency and battery lifetime of the monitoring units without sacrificing the acquired signal quality is a key challenge in large-scale deployment of bioelectronic systems for remote wireless monitoring. In this article, we present a design methodology for accuracy aware, energy efficient wireless monitoring of electroencephalography (EEG) data. The proposed design performs a real-time accuracy energy trade-off by controlling the volume of transmitted data based on the information content in the EEG signal. We consider the effect of different system parameters in order to design an optimal system. We analyze the impact of noise of the wireless channel. Our analysis shows that the proposed system design approach can provide up to 10X energy savings in a 32 channel wireless EEG system with minimal impact on the monitored EEG signal accuracy.<\/jats:p>","DOI":"10.1145\/2093145.2093148","type":"journal-article","created":{"date-parts":[[2012,2,28]],"date-time":"2012-02-28T12:58:35Z","timestamp":1330433915000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Modeling and Designing for Accuracy and Energy Efficiency in Wireless Electroencephalography Systems"],"prefix":"10.1145","volume":"8","author":[{"given":"Jeremy R.","family":"Tolbert","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pratik","family":"Kabali","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simeranjit","family":"Brar","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saibal","family":"Mukhopadhyay","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,2]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/10.552239"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2007.29"},{"volume-title":"Proceedings of the IEEE Engineering in Medicine and Biology Society (EMBS) Conference on Neural Engineering.","author":"Casson A. 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