US 12,266,450 B1
Apparatus and methods for generating electro-anatomical mapping
Rakesh Barve, Bengaluru (IN); Suthirth Vaidya, Bengaluru (IN); Animesh Agarwal, San Mateo, CA (US); Abhijith Chunduru, Bengaluru (IN); and Rohit Jain, Danville, CA (US)
Assigned to Anumana, Inc., Cambridge, MA (US)
Filed by Anumana, Inc., Cambridge, MA (US)
Filed on Jul. 30, 2024, as Appl. No. 18/788,566.
Int. Cl. G16H 50/50 (2018.01); A61B 6/00 (2006.01); A61B 18/00 (2006.01); G06T 7/33 (2017.01); G06T 11/20 (2006.01); G16H 50/70 (2018.01); A61M 25/01 (2006.01)
CPC G16H 50/50 (2018.01) [A61B 6/5229 (2013.01); A61B 6/5247 (2013.01); A61B 18/00 (2013.01); G06T 7/33 (2017.01); G06T 11/206 (2013.01); G16H 50/70 (2018.01); A61B 2018/00577 (2013.01); A61B 2018/00839 (2013.01); A61M 2025/0166 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2210/41 (2013.01)] 26 Claims
OG exemplary drawing
 
14. A method for generating electro-anatomical mapping, the method comprising: receiving, by a processor, input data, wherein receiving the input data comprises: receiving, from an imaging device, at least a medical image; and receiving, from a signal capturing device, at least an electrogram; generating, by the processor using at least a machine learning model, an electro-anatomical mapping as a function of the input data, wherein the at least a machine learning model is trained using electro-anatomical mapping training data comprising exemplary medical images and exemplary electrograms as input correlated to exemplary electro-anatomical mappings as output; and displaying, by the processor using a user interface, the electro-anatomical mapping, wherein generating the electro-anatomical mapping comprises: generating a putative electro-anatomical mapping; validating the putative electro-anatomical mapping using a plurality of quality assurance parameters; and creating the electro-anatomical mapping by fine-tuning the putative electro-anatomical mapping as a function of an outcome of the validation.