Detection of blood volume change in brain by analyzing bioimpedance spectroscopy

神经刺激是一种很有前途的治疗各种神经系统疾病的方法，如抑郁症、癫痫、中风、成瘾和疼痛。然而，现有的神经刺激技术大多需要外科手术植入刺激电极。因此，发展一种非侵入性神经刺激方法是提高脑相关疾病临床治疗水平的必要手段。为了完全自动化，这样的系统需要一个分类方案来分析反馈数据并检测大脑状况。在这个拟议的项目中，我们将与NuraleveInc.合作，使用头部生物阻抗频谱测量的数据集，使用不同位置的电极，基于Nuraleveve执行的大量模拟来模拟电流在头骨、头皮和大脑中的传播。我们计划分析这些收集的数据以检测位置，并获得一些关于如何使用分类器解释BIS测量结果的见解。

Neurostimulation is a promising method used for treatment of various neurological disorders such as depression, epilepsy, stroke, addiction and pain. However most of the existing neurostimulation techniques need surgical implantation of the stimulation electrodes. Therefore, developing a noninvasive neurostimulation method is a necessity to improve clinical therapy of brain related disorders. To be fully automated, such a system needs a classification scheme in order to analyze the feedback data and detect brain conditions. In this proposed project, we will work with Nuraleve Inc. to use a data set of measurement of head BioImpedance Spectroscopy, with the electrodes in different positions based on a number of simulations that Nuraleve has performed to model the current propagation in the skull, scalp and brain. We plan to analyse this collected data to detect positions and also acquire some insights on how to interpret BIS measurements with a classifier.