# US 2026/0073497 A1 · Systems and methods for standardization of electrocardiogram signal images > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0073497 A1 - Document ID: US20260073497A1 - Status: Published application - Kind: A1 - Application number: 19/095,794 - Filed: 2025-03-31 - Published: 2026-03-12 - Earliest claimed: 2024-09-06 - Assignees: Anumana, Inc. - Applicants: Anumana, Inc. - Inventors: Sairam Bade; Rakesh Barve; Yash Mishra; Ashim Prasad; Shashi Kant; Mayank Sharma; Durgaprasad Dodle - Web page: https://patentgrep.com/patent/US20260073497A1 ## CPC - A61B 5/7221: {Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217)} - G06T 7/0002: {Inspection of images, e.g. flaw detection} - A61B 5/346: Analysis of electrocardiograms - G06T 5/50: using two or more images, e.g. averaging or subtraction - G06T 5/60: using machine learning, e.g. neural networks - G06T 7/0012: {Biomedical image inspection} - G06T 11/60: Creating or editing images; Combining images with text - G06V 10/243: {by compensating for image skew or non-uniform image deformations} - G06V 10/245: {by locating a pattern; Special marks for positioning} - G06V 10/247: {by affine transforms, e.g. correction due to perspective effects; Quadrilaterals, e.g. trapezoids} - G06V 10/32: Normalisation of the pattern dimensions - G06V 10/56: relating to colour - G06V 10/993: {Evaluation of the quality of the acquired pattern} - G06T 2207/20084: Artificial neural networks [ANN] - G06T 2207/20221: Image fusion; Image merging - G06T 2207/30004: Biomedical image processing - G06T 2207/30168: Image quality inspection - G06T 2207/30208: Marker matrix - G06V 2201/03: Recognition of patterns in medical or anatomical images - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract An apparatus for standardization of electrocardiogram signal images, the apparatus having an imaging device, at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive an overlay image from the imaging device, identify a captured fixed background image and a captured primary image within the overlay image, wherein the captured primary image includes a plurality of electrocardiogram signals, compare the captured fixed background image to one or more image quality thresholds, determine an image quality score of the primary image as a function of the captured fixed background image, and output one or more image modification datum as a function of the image quality score. ## Claims ### Claim 1 An apparatus for standardization of electrocardiogram signal images, the apparatus comprising: an imaging device; at least a processor; and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to: receive an overlay image from the imaging device, wherein the overlay image is an image depicting two elements that are positioned atop one another; identify a captured fixed background image and a captured primary image within the overlay image, wherein the captured fixed background image comprises a first element having a predetermined pattern; and generate an image quality score of the captured primary image as a function of the captured fixed background image and one or more image quality thresholds. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the one or more image quality thresholds comprises a level of saturation shift. ### Claim 3 (depends on 1) The apparatus of claim 1, wherein the one or more image quality thresholds comprises a level of lens distortion. ### Claim 4 (depends on 1) The apparatus of claim 1, wherein generating the image quality score comprises determining an amount of warping of the overlay image as a function of a graphical visualization of geometric shapes of the captured fixed background image. ### Claim 5 (depends on 1) The apparatus of claim 1, wherein generating the image quality score comprises determining a color accuracy of the overlay image as a function of a color patch of the captured fixed background image. ### Claim 6 (depends on 1) The apparatus of claim 1, wherein the captured fixed background image comprises a test chart. ### Claim 7 (depends on 1) The apparatus of claim 1, wherein identifying the captured fixed background image comprises identifying the captured fixed background image as a function of a fiducial marker of the fixed background image. ### Claim 8 (depends on 1) The apparatus of claim 1, wherein identifying the captured fixed background image and the captured primary image comprises: training an image classifier with binarized visual data; and identifying a key image depicting at least one of the captured fixed background image and the captured primary image using the trained image classifier. ### Claim 9 (depends on 1) The apparatus of claim 1, wherein the captured fixed background image comprises a plurality of electrocardiogram signals. ### Claim 10 (depends on 1) The apparatus of claim 1, wherein generating the image quality score comprises generating an updated overlay image as a function of the image quality score, wherein the updated overlay image comprises at least one of an updated fixed background image and an updated primary image. ### Claim 11 A method for standardization of electrocardiogram signal images, the method comprising: receiving, using at least a processor, an overlay image from an imaging device, wherein the overlay image is an image depicting two elements that are positioned atop one another; identifying, using the at least a processor, a captured fixed background image and a captured primary image within the overlay image, wherein the captured fixed background image comprises a first element having a predetermined pattern; and generating, using the at least a processor, an image quality score of the captured primary image as a function of the captured fixed background image and one or more image quality thresholds. ### Claim 12 (depends on 11) The method of claim 11, wherein the one or more image quality thresholds comprises a level of saturation shift. ### Claim 13 (depends on 11) The method of claim 11, wherein the one or more image quality thresholds comprises a level of lens distortion. ### Claim 14 (depends on 11) The method of claim 11, wherein generating the image quality score comprises determining an amount of warping of the overlay image as a function of a graphical visualization of geometric shapes of the captured fixed background image. ### Claim 15 (depends on 11) The method of claim 11, wherein generating the image quality score comprises determining a color accuracy of the overlay image as a function of a color patch of the captured fixed background image. ### Claim 16 (depends on 11) The method of claim 11, wherein the captured fixed background image comprises a test chart. ### Claim 17 (depends on 11) The method of claim 11, wherein identifying the captured fixed background image comprises identifying the captured fixed background image as a function of a fiducial marker of the fixed background image. ### Claim 18 (depends on 11) The method of claim 11, wherein identifying the captured fixed background image and the captured primary image comprises: training an image classifier with binarized visual data; and identifying a key image depicting at least one of the captured fixed background image and the captured primary image using the trained image classifier. ### Claim 19 (depends on 11) The method of claim 11, wherein the captured fixed background image comprises a plurality of electrocardiogram signals. ### Claim 20 (depends on 11) The method of claim 11, wherein generating the image quality score comprises generating an updated overlay image as a function of the image quality score, wherein the updated overlay image comprises at least one of an updated fixed background image and an updated primary image.