Anumana Patent for Non-Invasive ECG and Echo Monitoring with Machine Learning
Summary
Anumana, Inc. filed patent application US20260096783A1 on April 9, 2026 (filed October 4, 2024 as Application No. 18907123) for an apparatus and method combining non-invasive ECG and echocardiogram data with machine learning to generate simulated invasive measurement data. The system fuses ECG and echo measurements and uses trained ML models to produce data equivalent to invasive cardiac measurements, transmitting results to remote devices. CPC classifications span cardiac monitoring (A61B 5/7267, A61B 5/256, A61B 5/346), medical imaging (G06T 15/005), and health informatics (G16H 50/20, G16H 50/70).
“An apparatus and method for subject monitoring and diagnosing with non-invasive measures are disclosed.”
About this source
GovPing monitors USPTO Patent Applications - Health Informatics (G16H) for new healthcare & life sciences regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 146 changes logged to date.
What changed
Anumana, Inc. filed a patent application (US20260096783A1) with the USPTO for an apparatus and method that uses machine learning to generate invasive-equivalent cardiac measurements from non-invasive ECG and echocardiogram data. The system trains ML models on invasive measurement data, fuses non-invasive ECG and echo inputs, and outputs simulated invasive measurements to remote devices. Inventors include Rakesh Barve, Samir Awasthi, Abhijith Chunduru, and Suthirth Vaidya.
Medical device manufacturers and health technology developers should note this intellectual property filing as it may cover competitive approaches to non-invasive cardiac monitoring using AI-fused sensor data. Companies developing similar ECG/echo fusion systems or ML-based physiological monitoring tools should conduct freedom-to-operate analyses to assess potential overlap with the claims of this application.
Archived snapshot
Apr 23, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
APPARATUS AND METHOD FOR SUBJECT MONITORING AND DIAGNOSING WITH NON-INVASIVE MEASURES
Application US20260096783A1 Kind: A1 Apr 09, 2026
Assignee
Anumana, Inc.
Inventors
Rakesh Barve, Samir Awasthi, Abhijith Chunduru, Suthirth Vaidya
Abstract
An apparatus and method for subject monitoring and diagnosing with non-invasive measures are disclosed. The apparatus includes a memory contains instructions configuring at least a processor to generate invasive measurement training data, train an invasive measurement machine-learning model using the invasive measurement training data, receive non-invasive measurement data, wherein the non-invasive measurement data includes electrocardiogram (ECG) data and echocardiogram (echo) data and the non-invasive measurement data includes information that is obtained through non-invasive measurements, fuse the ECG data and the echo data into a fused non-invasive measurement datum, generate at least an invasive measurement datum as a function of the fused non-invasive measurement datum using the trained invasive measurement machine-learning model, wherein the at least an invasive measurement datum includes information that can be obtained through invasive measurements and transmitting the at least an invasive measurement datum to a remote device.
CPC Classifications
A61B 5/7267 A61B 5/256 A61B 5/346 A61B 5/7246 G06T 15/005 G16H 50/20 G16H 50/70 G06T 2207/20081 G06T 2207/30048
Filing Date
2024-10-04
Application No.
18907123
Mentioned entities
Parties
Related changes
Get daily alerts for USPTO Patent Applications - Health Informatics (G16H)
Daily digest delivered to your inbox.
Free. Unsubscribe anytime.
Source
About this page
Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission
Source document text, dates, docket IDs, and authority are extracted directly from USPTO.
The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.
Classification
Who this affects
Taxonomy
Browse Categories
Get alerts for this source
We'll email you when USPTO Patent Applications - Health Informatics (G16H) publishes new changes.
Subscribed!
Optional. Filters your digest to exactly the updates that matter to you.