US 11,842,255 B2
Systems and methods for labeling large datasets of physiological records based on unsupervised machine learning
Sharanya Arcot Desai, Sunnyvale, CA (US); Thomas K. Tcheng, Pleasant Hill, CA (US); and Benjamin E. Shanahan, San Jose, CA (US)
Assigned to NeuroPace, Inc., Mountain View, CA (US)
Filed by NeuroPace, Inc., Mountain View, CA (US)
Filed on Sep. 20, 2022, as Appl. No. 17/948,947.
Application 17/948,947 is a continuation of application No. 16/796,692, filed on Feb. 20, 2020, granted, now 11,481,578.
Claims priority of provisional application 62/809,427, filed on Feb. 22, 2019.
Prior Publication US 2023/0017756 A1, Jan. 19, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 20/00 (2019.01); G06N 3/08 (2023.01); G06F 9/30 (2018.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2321 (2023.01)
CPC G06N 20/00 (2019.01) [G06F 9/30036 (2013.01); G06F 18/2155 (2023.01); G06F 18/22 (2023.01); G06F 18/2321 (2023.01); G06N 3/08 (2013.01); G06V 2201/031 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A records classification processor for labeling records of physiological information, the records classification processor comprising:
a feature extraction module configured to derive a plurality of multi-dimensional feature vectors from a plurality of records of physiological information;
a feature reduction module configured to reduce the plurality of multi-dimensional feature vectors to a corresponding plurality of reduced-dimension feature vectors;
a similarities module configured to form a plurality of clusters based on the plurality of reduced-dimension feature vectors, wherein each cluster has associated therewith a set of records of physiological information;
a labeling module configured to enable, for at least one of the plurality of clusters, an assignment of a label to each record of physiological information included in the set of records of physiological information associated with the cluster, and a validation of the label assigned to one or more records of physiological information included in the set; and
an interface configured to be coupled to a user interface to receive user inputs, and to be coupled to a display to output display information, wherein the labeling module is configured to:
provide an output to the interface comprising information that enables a display of the plurality of clusters;
enable a mechanism through the display and user interface for selecting at least one record of physiological information associated with one of the displayed plurality of clusters;
provide an output to the interface comprising information that enables a display of the at least one selected record of physiological information;
enable a mechanism through the display and user interface for assigning a label to the at least one displayed record of physiological information; and
automatically assign the assigned label to the other records of physiological information associated with the cluster that the at least one selected record of physiological information is associated with, to create automatically-labeled records of physiological information.