Error-reduction in dipole-source localization models

描述（改编自申请人摘要）： 多通道脑诱发反应数据通常从头皮记录， 电的或磁的。对这些多渠道数据的分析 通常利用数学模型，假设神经发生器 是偶极子。这种DSL可以是准确的或不准确的， 取决于许多因素，其中大多数是无法获得的 使用DSL的研究人员或临床医生。 这个问题是复杂的事实，一个给定的模型可能是准确的， 偶极子在某些位置，但不准确的偶极子在其他位置。 此外，DSL使用最小平方误差已被证明， 增加偶极子参数误差。 评估DSL分析中是否存在潜在错误的方法 已经开发，基于这样一个事实，即穷人的模型显示出敏感性， 神经发生器波形申请人开发了一种专有的， 利用这种灵敏度作为误差信号技术创新方法， 允许模型常数的自适应调整以减少误差。 第一阶段的研究将使用计算机模拟来测试这种方法。 这项研究与健康有关，因为DSL方法被广泛用于分析 人类大脑活动，无论是正常还是异常。 拟定商业应用： 该方法将被纳入现有或未来的DSL软件许可证，因为它将消除目前的DSL结果的不确定性。

DESCRIPTION(Adapted from applicant's abstract): Multiple-channel brain evoked-response data is often recorded from the scalp, either electrically, or magnetically. The analysis of this multi-channel data commonly utilizes mathematical models, which assume that the neural generators of the evoked-response are dipoles. Such DSL can be accurate or inaccurate, depending upon many factors, most of which are not accessible to the researchers or clinicians who use the DSL. The problem is compounded by the fact that a given model may be accurate for dipoles in some locations, but not accurate for dipoles in other locations. Furthermore, the use of the least-square error by the DSL has been shown to increase dipole parameter errors. A method of evaluating whether insidious errors may be present in DSL analysis has been developed, based upon the fact that poor models show a sensitivity to neural-generator wave shape. The applicants have developed a proprietary, technically innovative method to utilize this sensitivity as an error-signal to allow adaptive-adjustment of model constants to reduce errors. The Phase I research will test this method using computer simulations. This research is health-related because DSL methods are widely used to analyze human brain activity, whether normal or abnormal. PROPOSED COMMERCIAL APPLICATION: The methodology will be incorporated into existing or future DSL software under license, since it would remove the present uncertainty of DSL results.