Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring

A. Casson, E. Rodríguez-Villegas
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引用次数: 35

Abstract

Wireless ambulatory EEG (AEEG) monitoring over long periods of time is currently infeasible due to battery limitations and the EEG analysis time required. A detailed comparison of methods for reducing the amount of AEEG data is presented. It is concluded that a discontinuous recording scheme can alleviate both of the above problems. Discontinuous monitoring introduces data interpretation and practical issues which are discussed. With suitable low power algorithm implementations and realistic system expectations such systems are deemed to be feasible.
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数据简化技术促进无线和长期AEEG癫痫监测
由于电池的限制和EEG分析所需的时间,长时间的无线动态EEG (AEEG)监测目前是不可行的。对减少AEEG数据量的方法进行了详细的比较。结果表明,不连续记录方案可以有效地解决上述两个问题。不连续监测介绍了数据解释和实际问题的讨论。通过适当的低功耗算法实现和现实的系统期望,这样的系统被认为是可行的。
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