US 12,268,481 B2
Photoplethysmography-based blood pressure monitoring device
Jeffrey Thomas Loh, Honolulu, HI (US); and Puxiang Lai, Hung Hom (HK)
Assigned to KL TECHNOLOGIES LLC, Honolulu, HI (US)
Filed by KL TECHNOLOGIES LLC, Honolulu, HI (US)
Filed on May 8, 2024, as Appl. No. 18/657,976.
Application 18/657,976 is a continuation in part of application No. 18/097,269, filed on Jan. 15, 2023.
Claims priority of provisional application 63/466,089, filed on May 12, 2023.
Claims priority of provisional application 63/301,106, filed on Jan. 20, 2022.
Prior Publication US 2024/0366096 A1, Nov. 7, 2024
Int. Cl. A61B 5/021 (2006.01); A61B 5/00 (2006.01); A61B 5/024 (2006.01); A61B 5/026 (2006.01)
CPC A61B 5/02125 (2013.01) [A61B 5/02141 (2013.01); A61B 5/02416 (2013.01); A61B 5/0261 (2013.01); A61B 5/681 (2013.01); A61B 5/7221 (2013.01); A61B 5/7246 (2013.01); A61B 5/7267 (2013.01); A61B 5/7271 (2013.01); A61B 5/7405 (2013.01); A61B 5/742 (2013.01); A61B 2560/0214 (2013.01); A61B 2560/0223 (2013.01); A61B 2560/045 (2013.01); A61B 2560/0462 (2013.01); A61B 2562/046 (2013.01)] 31 Claims
OG exemplary drawing
 
1. A blood pressure monitoring device for computing mean arterial pressure of a user comprising:
a case and a strap adapted to hold the case against the wrist of the patient;
a first PPG sensor within the case and aimed at an artery in the wrist when the case is strapped to the wrist;
a second PPG sensor spaced from the first PPG sensor within the case and aimed at the artery in the wrist when the case is strapped to the wrist; and
a processor arranged within the case and operable to:
compute a plurality of features from PPG waveform data generated by the PPG sensors; and
compute the mean arterial pressure (MAP) based on the plurality of features; and wherein the processor is further programmed to, after the plurality of features are computed, assess signal quality wherein assessing signal quality comprises computing a reference template, comparing a beat morphology of each pulse to the reference template, identifying low-quality features based on the comparing step, and excluding the low-quality features from the plurality of features used in the MAP computing step.