US 11,672,456 B2
Identifying patients suited for renal denervation therapy
Abhijeet Dubhashi, Cotati, CA (US)
Assigned to Medtronic Ireland Manufacturing Unlimited Company, Dublin (IE)
Filed by Medtronic Ireland Manufacturing Unlimited Company, Dublin (IE)
Filed on Apr. 25, 2019, as Appl. No. 16/394,438.
Claims priority of provisional application 62/663,394, filed on Apr. 27, 2018.
Prior Publication US 2019/0328302 A1, Oct. 31, 2019
Int. Cl. A61B 5/20 (2006.01); A61B 5/021 (2006.01); G06N 3/08 (2006.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); A61B 5/00 (2006.01); A61B 5/02 (2006.01)
CPC A61B 5/201 (2013.01) [A61B 5/02108 (2013.01); A61B 5/6824 (2013.01); A61B 5/7267 (2013.01); G06N 3/08 (2013.01); A61B 5/02007 (2013.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01)] 29 Claims
OG exemplary drawing
 
1. A system comprising:
a memory configured to store a deep learning model, the deep learning model trained to represent a relationship of pulse information and patient metrics to renal denervation efficacy in reducing hypertension; and
processing circuitry configured to:
obtain pulse information representative of pulses from one or more wrists of a patient;
obtain a plurality of values representative of respective patient metrics for the patient;
apply the pulse information and the plurality of values to the deep learning model from the memory;
responsive to applying the pulse information and the plurality of values to the deep learning model, obtain, from the deep learning model, a score indicative of renal denervation efficacy in reducing hypertension for the patient; and
generate a graphical user interface comprising a graphical representation of the score for the patient.