Parkinson's Electrophysiological Signal Dataset (PESD)

The dataset contains electrophysiological signals from both healthy and parkinsonian subjects. We generated two types of samples from each group. The parkinsonian signals show a relatively high power density at the beta frequency (13 to 30 Hz). Thus, the beta oscillations (13 to 30 Hz) in the subthalamic nucleus (STN) are typically used as the pathological biomarkers for PD symptoms. Each sample includes two types of signals: Beta Average Rectified Voltage (ARV) and Local Field Potential (LFP) from the Subthalamic Nucleus (STN). The ARV signals are in the frequency domain and LFP signals are in the time domain.

Beta ARV Signal: The controller beta values are determined by calculating the Average Rectified Value (ARV) of the beta band. This is achieved by fully rectifying the filtered LFP signal using a fourth-order Chebyshev band-pass filter with an 8 Hz bandwidth, centered around the peak of the LFP power spectrum. Local Field Potential (LFP) - STN: Local Field Potentials are derived from the synchronized activity of neuron populations between the cortex, STN, and thalamus.

More details can be found in our article named, “Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation”, available at https://arxiv.org/abs/2407.17756

该数据集包含健康受试者与帕金森病受试者的电生理信号。我们从每组受试者中生成了两类样本。帕金森病信号在β频率（13至30 Hz）处表现出相对较高的功率密度，因此丘脑底核（STN）中的β振荡（13至30 Hz）通常被用作帕金森病（PD）症状的病理生物标志物。每个样本包含两种信号：来自丘脑底核（STN）的β平均整流电压（ARV）和局部场电位（LFP）。其中ARV信号位于频域，LFP信号位于时域。

β ARV信号：控制器的β值通过计算β频段的平均整流值（ARV）确定。具体方法为：使用以LFP功率谱峰值为中心、带宽8 Hz的四阶切比雪夫带通滤波器对滤波后的LFP信号进行全整流。丘脑底核（STN）局部场电位（LFP）：局部场电位源自皮层、STN与丘脑之间神经元群体的同步活动。

更多细节可参见我们的论文《神经形态控制器设计及帕金森病闭环深部脑刺激数据集构建的初步结果》，论文链接为https://arxiv.org/abs/2407.17756