• Technical Name
  • 以全息希爾伯特跨頻跨腦區相位耦合預測非侵入性腦刺激參數
  • Operator
  • National Central University
  • Booth
  • 精準健康(醫材&防疫科技) Precision Health(Medical Device & Pandemic Prevention)
  • Contact
  • 梁偉光
  • Email
  • weikuangliang@gmail.com
Technical Description Our brain waves consist of a lot of nonlinear characteristics. Holo-Hilbert cross-frequency phase clustering (HHCFPC) is a cross-frequency coupling connectivity analysis based on the nonlinear Holo-Hilbert Spectral Analysis (HHSA) method. It is achieved by clustering the vectors of \"phase difference\" between the phase of a first layer IMF (obtained by HHSA) from one EEG channelthe phase of a second layer IMF from the other EEG channel. The results of HHCFPC can be used as a guide to optimize the parameters (e.g. frequency,frequencydepth of AM) of non-invasive brain stimulations.
Scientific Breakthrough Holo-Hilbert cross-frequency phase clustering (HHCFPC) is a cross-frequency brain functional connectivity analysis based on the Holo-Hilbert spectral analysis (HHSA). Its scientific breakthrough lies in transforming the amplitude function into instantaneous phase functions of various time scales (ie, second-layer IMFs) through two-layer empirical mode decomposition,then performing cross-frequency phase coupling calculations with the phase of the first-layer IMFs. Furthermore, establishing the parameters of non-invasive brain stimulation by HHCFPC is also a new breakthrough.
Industrial Applicability Holo-Hilbert cross-frequency phase clustering (HHCFPC) can be applied to any kind of multi-channel electrophysiological signal measurement device, such as: EEG,EKG. Furthermore, because the HHCFPC information can be used to establish non-invasive brain stimulation (NIBS) parameters, it can also be applied to any NIBS device, such as: transcranial electrical stimulation (tDCS/ tACS),transcranial magnetic stimulation (TMS). By building the algorithm provided by this technology, the application value of the various devices mentioned above can be significantly improved.