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公开(公告)号：US20250082258A1
公开(公告)日：2025-03-13
申请号：US18292659
申请日：2022-07-25
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Imanuel Lerman , Ramesh Rao , Ming-Xiong Huang , Todd P. Coleman , Yifeng Bu
Abstract: Disclosed are devices, systems and methods for neural signal detection of immune responses. In some aspects, a system includes a processing unit: a receiving unit configured to receive at least one sensor signal from a wearable sensor, where the wearable sensor is configured to detect at least one neural signal of a patient; and a tangible non-transitory computer readable medium having instructions configured to cause the processing unit to automatically receive a data signal from the receiving unit, automatically detect an immune response based at least in part on the data signal, automatically create a notification based at least in part on the immune response, and automatically present the notification to a user of the system.
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公开(公告)号：US10433742B2
公开(公告)日：2019-10-08
申请号：US14910218
申请日：2014-08-05
Applicant: The Regents of the University of California
Inventor： Ming-Xiong Huang , Roland R. Lee
Abstract: Methods, systems, and devices are disclosed for implementing magnetoencephalography (MEG) source imaging. In one aspect, a method includes determining a covariance matrix based on sensor signal data in the time domain or frequency domain, the sensor signal data representing magnetic-field signals emitted by a brain of a subject and detected by MEG sensors in a sensor array surrounding the brain, defining a source grid containing source locations within the brain that generate magnetic signals, the source locations having a particular resolution, in which a number of source locations is greater than a number of sensors in the sensor array, and generating a source value of signal power for each location in the source grid by fitting the selected sensor covariance matrix, in which the covariance matrix is time-independent based on time or frequency information of the sensor signal data.
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3.发明申请公开(公告)号：US20160157742A1
公开(公告)日：2016-06-09
申请号：US14910218
申请日：2014-08-05
Applicant: The Regents of The University of California
Inventor： Ming-Xiong Huang , Roland R. Lee
CPC classification number: A61B5/04008 , A61B5/04 , A61B5/04001 , A61B5/04005 , A61B5/04009 , A61B5/055 , A61B5/7203 , A61B5/7235
Abstract: Methods, systems, and devices are disclosed for implementing magnetoencephalography (MEG) source imaging. In one aspect, a method includes determining a covariance matrix based on sensor signal data in the time domain or frequency domain, the sensor signal data representing magnetic-field signals emitted by a brain of a subject and detected by MEG sensors in a sensor array surrounding the brain, defining a source grid containing source locations within the brain that generate magnetic signals, the source locations having a particular resolution, in which a number of source locations is greater than a number of sensors in the sensor array, and generating a source value of signal power for each location in the source grid by fitting the selected sensor covariance matrix, in which the covariance matrix is time-independent based on time or frequency information of the sensor signal data.
Abstract translation: 公开了用于实现脑磁图（MEG）源成像的方法，系统和装置。 一方面，一种方法包括基于时域或频域中的传感器信号数据来确定协方差矩阵，所述传感器信号数据表示由对象的脑发射并由传感器阵列中的MEG传感器检测的磁场信号 大脑，定义包含产生磁信号的大脑内的源位置的源网格，源位置具有特定分辨率，其中多个源位置大于传感器阵列中的多个传感器，并且产生源值 通过拟合所选择的传感器协方差矩阵，其中协方差矩阵是基于传感器信号数据的时间或频率信息而与时间无关的信号功率。
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公开(公告)号：US20140378815A1
公开(公告)日：2014-12-25
申请号：US14118886
申请日：2012-05-24
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Ming-Xiong Huang , Roland R. Lee
CPC classification number: A61B5/04008 , A61B5/04009 , A61B5/055 , A61B5/4076 , A61B5/7257 , G01R33/4806 , G01R33/4808 , G01R33/5602 , G01R33/56341 , G06F19/321
Abstract: Techniques, devices and systems are disclosed for magnetoencephalography (MEG) source imaging. In one aspect, a method includes selecting signal data associated with one or more frequency bands from a spectrum of the signal data in the frequency domain, in which the signal data represents magnetic signals emitted by a brain of a subject and detected by a plurality of sensors outside the brain, defining locations of sources within the brain that generate the magnetic signals, in which the number of locations of the sources is selected to be greater than the number of sensors, and generating a source value of signal power based on the selected signal data corresponding to a respective location of the locations at the one or more frequencies.
Abstract translation: 公开了用于脑电图（MEG）源成像的技术，装置和系统。 在一个方面，一种方法包括从频域中的信号数据的频谱中选择与一个或多个频带相关联的信号数据，其中信号数据表示由对象的脑发射并由多个 大脑外部的传感器，定义大脑内的源的位置，产生磁信号，其中源的位置数目被选择为大于传感器的数量，并且基于选择的信号产生信号功率的源值 对应于在一个或多个频率处的位置的相应位置的信号数据。
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