US 11,896,399 B2
Single channel and dual channel noise detection systems and techniques
Jeffery T. Mitchell, Mars, PA (US); Michael A. Sipe, Pittsburgh, PA (US); and Francesco Nicolo, Oakmont, PA (US)
Assigned to ZOLL Medical Corption, Chelmsford, MA (US)
Filed by ZOLL Medical Corporation, Chelmsford, MA (US)
Filed on Jan. 4, 2022, as Appl. No. 17/646,880.
Application 17/646,880 is a continuation of application No. 16/359,200, filed on Mar. 20, 2019, granted, now 11,246,538.
Prior Publication US 2022/0225944 A1, Jul. 21, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/316 (2021.01); G16H 10/60 (2018.01); A61B 5/361 (2021.01); G16H 50/30 (2018.01); A61B 5/352 (2021.01); A61B 5/363 (2021.01); A61B 5/366 (2021.01); G16H 40/60 (2018.01)
CPC A61B 5/7203 (2013.01) [A61B 5/0006 (2013.01); A61B 5/316 (2021.01); A61B 5/361 (2021.01); A61B 5/7264 (2013.01); A61B 5/352 (2021.01); A61B 5/363 (2021.01); A61B 5/366 (2021.01); A61B 5/6833 (2013.01); G16H 10/60 (2018.01); G16H 40/60 (2018.01); G16H 50/30 (2018.01)] 19 Claims
OG exemplary drawing
 
1. A method of processing noisy electrocardiogram (ECG) data segments via a computer system, the method comprising:
(a) receiving, by the computer system, a first collection of ECG data segments recorded over a continuous and extended period of time from one or more ECG channels of wearable medical devices associated with a plurality of patients;
(b) for each ECG data segment of the first collection,
transforming the ECG data segment into a corresponding ECG baseline representation by
(i) dividing the ECG data segment into a plurality of sample periods, each sample period of the plurality of sample periods spanning between 2 and 8 seconds, and
(ii) removing, for each sample period within the plurality of sample periods, ECG data collected within the sample period having one or more fiducial peaks that transgress one or more threshold values corresponding to the one or more fiducial peaks,
after transforming the ECG data segment into the corresponding ECG baseline representation, fitting the corresponding ECG baseline representation to a function comprising at least one coefficient,
comparing the at least one coefficient to at least one threshold value corresponding to the at least one coefficient, and
identifying the ECG data segment as a noisy ECG data segment where the at least one coefficient transgresses the at least one threshold value corresponding to the at least one coefficient;
(c) producing a second collection of ECG data segments from the first collection of ECG data segments that excludes the noisy ECG data segments;
(d) outputting one or more ECG metrics relating to the plurality of patients based on the second collection of ECG data segments;
(e) analyzing the one or more ECG metrics to determine a current heart failure condition of at least one of the plurality of patients; and
(f) based on the current heart failure condition of the at least one of the plurality of patients, causing one or more therapy electrodes of the wearable medical device associated with the at least one of the plurality of patients to deliver a treatment to the at least one of the plurality of patients.