US 12,290,372 B2
System and method for automatic evoked potential measurement
Ryan Clarke Newell D'Arcy, North Vancouver (CA); Fabio Bollinger, Langley (CA); Shaun Dean Fickling, Coquitlam (CA); Zachary Frehlick, Vancouver (CA); Sujoy Ghosh Hajra, Ottawa (CA); Sunny Gurm, Burnaby (CA); Nazanin Hamzei, Vancouver (CA); Caressa Chang Liu, North York (CA); Ashley Candice Livingstone, Coquitlam (CA); Christopher James Smith, Abbotsford (CA); Pamela Tannouri, Burnaby (CA); Mike Thiem, Calgary (CA); Evangeline Yee, Coquitlam (CA); and Shaquile Ryan Nijjer, Surrey (CA)
Assigned to HEALTH TECH CONNEX INC., Surrey (CA)
Appl. No. 17/440,718
Filed by Health Tech Connex Inc., Surrey (CA)
PCT Filed Mar. 18, 2020, PCT No. PCT/CA2020/050360
§ 371(c)(1), (2) Date Sep. 17, 2021,
PCT Pub. No. WO2020/186353, PCT Pub. Date Sep. 24, 2020.
Claims priority of provisional application 62/820,173, filed on Mar. 18, 2019.
Prior Publication US 2022/0167908 A1, Jun. 2, 2022
Int. Cl. A61B 5/377 (2021.01); A61B 5/00 (2006.01); A61B 5/301 (2021.01); A61B 5/398 (2021.01)
CPC A61B 5/377 (2021.01) [A61B 5/301 (2021.01); A61B 5/398 (2021.01); A61B 5/726 (2013.01)] 24 Claims
OG exemplary drawing
 
12. A computer-implemented method to automatically measure an amplitude and a latency of at least one evoked potential (EP) and/or event-related potential (ERP) from electroencephalography (EEG) data, the automation method comprising:
(a) separating the EEG data into at least one epoch, each epoch containing an EP/ERP waveform associated with at least one type of EP/ERP; and
(b) upon automatically grouping each epoch according to EP/ERP type, and for each type of EP/ERP having at least one associated epoch, automatically processing the at least one associated epoch by:
(i) computing, automatically, an average of the at least one associated epoch to output an averaged epoch;
(ii) upon detecting the outputted average epoch, automatically outputting a time-frequency domain representation of the averaged epoch;
(iii) automatically applying a time-frequency mask to the time-frequency representation of the averaged epoch to output a masked epoch, wherein the time-frequency mask is automatically selected from a set of time-frequency masks configured to reject at least one time-frequency component of the time-frequency representation of the averaged epoch, wherein the time-frequency mask for each EP/ERP type of the at least one type of EP/ERP is dynamically generated based on signal properties of the EP/ERP waveform;
(iv) outputting, automatically upon detecting an outputted masked epoch, a filtered epoch corresponding to a time domain representation of the masked epoch;
(v) automatically selecting a position in the filtered epoch corresponding to an EP/ERP waveform peak; and
(vi) automatically determining an amplitude value and a latency value of the EP/ERP waveform peak, the latency value corresponding to a time interval between stimulus onset and the EP/ERP waveform peak.