Laboratory of Rehabilitation Engineering, National University of Entre Ríos, Oro Verde, Argentina.
Group for Digital Design and Processing (GDDP), ETSE, Department of Electronic Engineering, University of Valencia, Valencia, Spain.
Comput Intell Neurosci. 2017;2017:1512504. doi: 10.1155/2017/1512504. Epub 2017 Dec 24.
Deep Brain Stimulation (DBS) is a surgical procedure for the treatment of motor disorders in patients with Parkinson's Disease (PD). DBS involves the application of controlled electrical stimuli to a given brain structure. The implantation of the electrodes for DBS is performed by a minimally invasive stereotactic surgery where neuroimaging and microelectrode recordings (MER) are used to locate the target brain structure. The Subthalamic Nucleus (STN) is often chosen for the implantation of stimulation electrodes in DBS therapy. During the surgery, an intraoperative validation is performed to locate the dorsolateral region of STN. Patients with PD reveal a high power in the band (frequencies between 13 Hz and 35 Hz) in MER signal, mainly in the dorsolateral region of STN. In this work, different power spectrum density methods were analyzed with the aim of selecting one that minimizes the calculation time to be used in real time during DBS surgery. In particular, the results of three nonparametric and one parametric methods were compared, each with different sets of parameters. It was concluded that the optimum method to perform the real-time spectral estimation of beta band from MER signal is Welch with Hamming windows of 1.5 seconds and 50% overlap.
深部脑刺激（DBS）是一种治疗帕金森病（PD）患者运动障碍的手术方法。DBS 涉及向特定脑结构施加受控电刺激。DBS 电极的植入是通过微创立体定向手术完成的，该手术使用神经影像学和微电极记录（MER）来定位目标脑结构。STN 常被选择用于 DBS 治疗中刺激电极的植入。在手术过程中，进行术中验证以定位 STN 的背外侧区域。PD 患者在 MER 信号中表现出高功率（频率在 13 Hz 和 35 Hz 之间），主要在 STN 的背外侧区域。在这项工作中，分析了不同的功率谱密度方法，目的是选择一种能够将计算时间最小化的方法，以便在 DBS 手术期间实时使用。特别地，比较了三种非参数和一种参数方法的结果，每种方法都有不同的参数集。结果表明，使用汉明窗为 1.5 秒且重叠率为 50%的 Welch 方法是从 MER 信号进行实时β频带谱估计的最佳方法。
