	US 12,484,809 B2
	Electrocardiogram-based blood glucose level monitoring
Leandro Pecchia, Coventry (GB); and Mihaela Porumb, Coventry (GB)
Assigned to The University of Warwick, Coventry (GB)
Appl. No. 17/639,000
Filed by The University of Warwick, Coventry (GB)
PCT Filed Aug. 27, 2020, PCT No. PCT/GB2020/052055 § 371(c)(1), (2) Date Feb. 28, 2022, PCT Pub. No. WO2021/038229, PCT Pub. Date Mar. 4, 2021.
Claims priority of application No. 1912487 (GB), filed on Aug. 30, 2019.
Prior Publication US 2022/0346676 A1, Nov. 3, 2022
Int. Cl. A61B 5/145 (2006.01); A61B 5/00 (2006.01); A61B 5/318 (2021.01); G16H 40/63 (2018.01)

CPC A61B 5/14532 (2013.01) [A61B 5/318 (2021.01); A61B 5/7267 (2013.01); A61B 5/7278 (2013.01); A61B 5/7282 (2013.01); A61B 5/7285 (2013.01); A61B 5/746 (2013.01); G16H 40/63 (2018.01)]

31 Claims

1. A computer system for use in electrocardiogram-based blood glucose level monitoring, the computer system configured, in response to receiving electrocardiogram data measured over a given period of time for a given subject, to classify the electrocardiogram data using at least one neural network and also using at least one personalised model which is specific to the given subject so as to identify whether a low blood glucose level condition is present wherein blood glucose level falls below a predefined level and, upon identifying presence of the low blood glucose level condition, to flag an alarm condition.