US 11,056,244 B2
Automated data scaling, alignment, and organizing based on predefined parameters within surgical networks
Frederick E. Shelton, IV, Hillsboro, OH (US); and Jason L. Harris, Lebanon, OH (US)
Assigned to Cilag GmbH International, Zug (CH)
Filed by Ethicon LLC, Guaynabo, PR (US)
Filed on Nov. 6, 2018, as Appl. No. 16/182,260.
Claims priority of provisional application 62/729,177, filed on Sep. 10, 2018.
Claims priority of provisional application 62/692,747, filed on Jun. 30, 2018.
Claims priority of provisional application 62/692,748, filed on Jun. 30, 2018.
Claims priority of provisional application 62/692,768, filed on Jun. 30, 2018.
Claims priority of provisional application 62/659,900, filed on Apr. 19, 2018.
Claims priority of provisional application 62/650,898, filed on Mar. 30, 2018.
Claims priority of provisional application 62/650,887, filed on Mar. 30, 2018.
Claims priority of provisional application 62/650,882, filed on Mar. 30, 2018.
Claims priority of provisional application 62/650,877, filed on Mar. 30, 2018.
Claims priority of provisional application 62/640,417, filed on Mar. 8, 2018.
Claims priority of provisional application 62/640,415, filed on Mar. 8, 2018.
Claims priority of provisional application 62/611,341, filed on Dec. 28, 2017.
Claims priority of provisional application 62/611,340, filed on Dec. 28, 2017.
Claims priority of provisional application 62/611,339, filed on Dec. 28, 2017.
Prior Publication US 2019/0206576 A1, Jul. 4, 2019
Int. Cl. G06F 17/00 (2019.01); G16H 80/00 (2018.01); G16H 40/63 (2018.01); G16H 40/20 (2018.01); G16H 40/67 (2018.01); G16H 50/70 (2018.01); A61B 34/35 (2016.01); A61B 90/00 (2016.01); G06F 16/23 (2019.01); A61B 18/14 (2006.01); G06T 11/20 (2006.01); G06T 11/60 (2006.01); A61B 17/00 (2006.01); A61B 18/00 (2006.01)
CPC G16H 80/00 (2018.01) [A61B 18/14 (2013.01); A61B 34/35 (2016.02); A61B 90/361 (2016.02); G06F 16/2365 (2019.01); G06F 16/2379 (2019.01); G06T 11/206 (2013.01); G06T 11/60 (2013.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/70 (2018.01); A61B 2017/00199 (2013.01); A61B 2017/00221 (2013.01); A61B 2018/00684 (2013.01); A61B 2018/00839 (2013.01); G06T 2210/41 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for automatically fusing data from a medical procedure, the system comprising:
a first medical hub comprising at least one processor and at least one memory, and a remote server communicatively coupled to the first medical hub, wherein the at least one processor is configured to:
access a first dataset comprising data sampled at a first data sampling rate recorded during a sampling time period;
analyze the first dataset to determine that the first dataset has not been altered, by comparing the first dataset to valid medical data from a second medical hub and determining that a pattern within the first dataset is consistent with the valid medical data from the second medical hub;
access a second dataset comprising data sampled at a second data sampling rate that is slower than the first data sampling rate and is recorded during the sampling time period;
analyze the second dataset to determine that the second dataset has not been altered, by comparing the second dataset to second valid medical data from a third medical hub and determining that a pattern within the second dataset is consistent with the second valid medical data from the third medical hub;
scale the second dataset to match the first data sampling rate;
fuse the first dataset and the second dataset into a composite dataset;
align the first dataset and the second dataset in the composite dataset, such that data from both the first dataset and the second dataset is sequentially ordered in the composite dataset in an order in which the data was recorded;
cause display of the composite dataset;
generate a graphical overlay on top of the display of the composite dataset that provides an interpretation of the composite dataset; and
transmit the composite dataset to the remote server.