临床双手运动想象神经数据

本数据集主要面向双手运动BCI研究需求，用于探索双手运动的神经机制及其在神经康复中的潜在应用。该数据集是在浙江大学附属第二医院开展的，通过神经数据采集系统获取，为脑科学与人工智能交叉领域的研究提供了基础数据支持。该研究通过详细记录人类大脑在双手运动中的神经活动，促进脑机接口、运动康复等应用领域的发展，并为未来的神经科学基础研究提供重要参考。 产生方法：本数据集使用Neuroport神经数据采集系统，通过植入大脑皮层的犹他电极阵列，记录了受试者在完成双手运动想象任务时的Spike与LFP信号。实验过程中，受试者通过执行双手运动想象任务，同时实时采集神经信号。 主要内容：数据集中的文件均为Matlab格式（.mat文件），每个文件包含一个数据结构，涵盖了22个字段。其中与研究密切相关的主要数据项包括：神经信号SpikeCount与LFP；任务相关信息TrialNo、BlockNo、TaskStateMasks。 数据体量：数据集包含多个受试者的神经信号记录，总数据量约为830 MB。数据采集的时间精度为毫秒级别，空间分辨率达到微米级别。This dataset is primarily developed for the research needs of hand motor BCI, aiming to explore the neural mechanisms of hand movements and their potential applications in neurorehabilitation. This dataset was collected at the Second Affiliated Hospital of Zhejiang University using neural data acquisition systems, providing foundational data support for research in the interdisciplinary field of neuroscience and artificial intelligence. By meticulously recording the neural activities of the human brain during hand movements, this research promotes the development of application fields such as brain-computer interfaces and motor rehabilitation, and provides important references for future basic neuroscience studies. Data Collection Method: This dataset was collected using the Neuroport neural data acquisition system. Utah Electrode Arrays implanted in the cerebral cortex were used to record Spike and LFP signals from participants while they completed hand motor imagery tasks. During the experiment, participants performed hand motor imagery tasks while neural signals were acquired in real time. Core Content: All files in this dataset are in Matlab format (.mat files). Each file contains a single data structure encompassing 22 fields. The key data items closely related to the research include: neural signals SpikeCount and LFP; task-related information including TrialNo, BlockNo, and TaskStateMasks. Dataset Scale: The dataset contains neural signal recordings from multiple participants, with a total data volume of approximately 830 MB. The temporal precision of data acquisition is at the millisecond level, and the spatial resolution reaches the micrometer level.

搜集汇总

背景与挑战

背景概述

该数据集由浙江大学附属第二医院采集，面向双手运动脑机接口研究，旨在探索神经机制及在神经康复中的应用。它通过植入电极记录了受试者在双手运动想象任务中的Spike和LFP信号，数据以Matlab格式存储，包含约830 MB的神经信号，具有毫秒级时间精度和微米级空间分辨率。