摘要：【中文】本发明公开了一种用于传输生物电信号的磁吸式连接器，包括通用接口端和电极接口端；所述的通用接口端内设有第一磁吸部件、通用接口端主体和弹性导电部件；所述的电极接口端设有第二磁性部件、塑胶部件和电极接口端主体；所述的第一磁吸部件与第二磁吸部件相对应位置设置，且它们的磁极极性相反，以使得所述通用接口端与电极接口端紧密吸合；所述的电极接口端主体包括导电元件、粘性层和柔性衬底；所述的通用接口端可与一个或多个电极接口端连接，所述的通用接口端上至少设置有一个电极接口端识别元件。其结构简单，通过磁吸作用实现了方便快捷、稳定可靠的连接,且适合多模态应用和分区域脑电记录。 【EN】The invention discloses a magnetic-type connector for transmitting bioelectricity signals, which comprises a universal interface end and an electrode interface end, wherein the universal interface end is connected with the electrode interface end; the universal interface end is internally provided with a first magnetic part, a universal interface end main body and an elastic conductive part; the electrode interface end is provided with a second magnetic part, a plastic part and an electrode interface end main body; the first magnetic part and the second magnetic part are arranged in corresponding positions and have opposite magnetic poles, so that the universal interface end and the electrode interface end are tightly attracted; the electrode interface end body comprises a conductive element, an adhesive layer and a flexible substrate; the universal interface end can be connected with one or more electrode interface ends, and at least one electrode interface end recognition element is arranged on the universal interface end. The multi-mode electroencephalogram recording device is simple in structure, convenient, fast, stable and reliable connection is achieved through the magnetic attraction effect, and the multi-mode electroencephalogram recording device is suitable for multi-mode application and regional electroencephalogram recording.

摘要：【中文】面向生物大数据的流式传输与变异实时挖掘系统及方法，传输层读取数据层中的测序数据文件，通过生物数据流式传输算法生成测序数据流，再将测序数据流，发送给计算层；计算层接收来自传输层的实时测序读段数据，根据基于Map Reduce的删除变异实时挖掘算法，实时计算该局部测序区域是否存在删除变异并输出删除变异的左右端点，并将删除变异的左右端点传输给用户层。通过基于Map Reduce的删除变异实时挖掘算法，根据实时接收到的局部测序数据流，即可实时判断局部区域是否存在删除变异，而不需要整个基因组中的上下文信息，实现了对测序数据的解耦，降低了传统测序数据处理算法对计算资源的高要求和高依赖。 【EN】The method comprises the steps that a transmission layer reads a sequencing data file in a data layer, a sequencing data stream is generated through a biological data streaming algorithm, and then the sequencing data stream is sent to a calculation layer; and the calculation layer receives real-time sequencing read data from the transmission layer, calculates whether the local sequencing region has deletion variation or not in real time according to a deletion variation real-time mining algorithm based on Map Reduce, outputs left and right endpoints of the deletion variation, and transmits the left and right endpoints of the deletion variation to the user layer. By adopting the Map Reduce-based deletion variation real-time mining algorithm, whether deletion variation exists in a local region can be judged in real time according to a real-time received local sequencing data stream without context information in the whole genome, so that decoupling of sequencing data is realized, and high requirements and high dependence of a traditional sequencing data processing algorithm on computing resources are reduced.