THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO
发明人:
Roman GENOV,Gerard O'LEARY
申请号：
US16032190
公开号：
US20200015692A1
申请日:
2018.07.11
申请国别(地区):
US
年份:
2020
代理人:
摘要：
There is provided a system, system architecture, and method for neural cross-frequency coupling analysis. In an embodiment, the method includes: receiving neural signals； extracting a phase frequency signal and an amplitude frequency envelope signal from each of the neural signals； determining a first measure of cross-frequency coupling comprising a mean vector length modulation index (MVL-MI), determining the MVL-MI comprises determining a magnitude of an averaged complex-valued time series from a plurality of samples of the neural signals to extract a phase-amplitude coupling measure, each sample associated with a respective one of the amplitude frequency envelope signals and the phase frequency signals； and outputting at least one measure of the cross-frequency coupling.
