开源的线圈匹配工具箱用于磁刺激及其他电磁学（COMATOSE）
Open-Source Coil Matching Toolbox for Magnetic Stimulation and Other Electromagnetics (COMATOSE)
AI总结：
本文提出开源工具箱 COMATOSE，通过数学-物理优化方法提升磁刺激线圈设计效率与性能。
摘要：
经颅磁刺激（TMS）中的线圈决定了头颅内电磁场的空间形状，这些结构同时被激活，以及焦点刺激的方式。大多数 readily available 的线圈都是根据直观设计而非系统数学-物理优化设计的，因为当时没有可用的方法。然而，先前的研究表明，这些线圈远未达到最优，例如在脉冲能量或效率方面，仍有大量改进空间。严格的数学优化技术已得到发展，但目前仅限于全球少数几个小组使用。本文介绍了一个开源工具箱 COMATOSE，旨在改变这一现状，使这些方法能够被更广泛的社区使用。它包含了基本的正式化方法，并提供向量空间分解以及基础映射作为显式的正向方法，其计算需求低于迭代计算优化，但也可以作为后续优化运行的初始解决方案。
英文摘要：
The coil in transcranial magnetic stimulation (TMS) determines the spatial shape of the electromagnetic field in the head, which structures are concurrently activated, and how focal stimulation is. Most of the readily available coils have been designed intuitively instead of systematic mathematical-physical optimization as there were no methods available at the time. Previous research however demonstrated that these coils are far from optimum, e.g., for pulse energy or efficiency, and leave substantial room for lots of improvements. Techniques for rigorous mathematical optimization have been developed but are only available to very few groups worldwide. This paper presents an open-source toolbox, COMATOSE, to change that situation and make these methods available to a wider community. It incorporates the fundamental formalisms and offers vector space decomposition as well as base mapping as an explicit forward method, which is computationally less demanding than iterative computational optimization but can also form the initial solution for a subsequent optimization run if desired.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
