癫痫发作预测技术商业化生物信号分析的前景与缺陷:癫痫发作预测与管理(个案研究)

M. Rise
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引用次数: 2

摘要

本报告将重点介绍用于预测/检测癫痫发作的商业化技术的过程。作者将提出一般设计标准的植入式装置长期使用的个体癫痫发作管理。他还将对比商业产品的需求与算法开发人员的复杂方法。在可植入产品要求低功耗、小尺寸和易于使用的情况下,算法开发者的趋势是利用越来越复杂的算法。数学技术和越来越便宜,高速,强大的台式电脑。对各种设计方法的讨论将强调可用于适应算法开发中的重要进展的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Commercialization of seizure prediction technology promises and pitfalls of biosignal analysis: seizure prediction and management (A case study)
This presentation will focus on the process of commercializing technology designed to predict/detect seizures. The author will present general design criteria for an implantable device used chronically by an individual with epilepsy to manage their seizures. He will also contrast the requirements of a commercial product with the sophisticated approaches of algorithm developers. Where an implantable product requires low power consumption, small size, and ease of use, the trends of algorithm developers is to make use of increasingly sophisticated. mathematical techniques and increasingly affordable, high speed, powerful desktop computers. A discussion of various design approaches will emphasize the trade offs which could be employed to accommodate important advances in algorithm development.
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