USPTO Patent Grant for ECG Analysis Apparatus
Summary
The USPTO has granted patent US12582315B2 for an electrocardiogram analysis apparatus to CARDIO INTELLIGENCE INC. The patent covers a system utilizing machine learning to detect paroxysmal arrhythmia from patient ECG data. The grant is effective March 24, 2026.
What changed
The United States Patent and Trademark Office (USPTO) has issued patent US12582315B2 for an electrocardiogram analysis apparatus. The patent, assigned to CARDIO INTELLIGENCE INC., details a system that employs machine learning models trained on patient ECG data to identify paroxysmal arrhythmia, even during non-paroxysmal periods. The apparatus includes components for machine learning, input processing of ECG data, and output control to inform users about potential abnormalities.
This patent grant represents a new intellectual property right for an innovative medical device technology. While not a regulatory rule imposing obligations on other entities, it signifies a development in diagnostic tools within the healthcare sector. Companies involved in developing or utilizing ECG analysis technology, particularly those incorporating AI and machine learning, should be aware of this granted patent and its potential implications for their own product development and intellectual property strategies.
Archived snapshot
Mar 27, 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.
Electrocardiogram analysis apparatus, electrocardiogram analyzing method, and non-transitory computer-readable storage medium
Grant US12582315B2 Kind: B2 Mar 24, 2026
Assignee
CARDIO INTELLIGENCE INC.
Inventors
Yuichi Tamura, Hirohisa Taniguchi, Tomohiro Takata, Tadahiro Taniguchi
Abstract
An electrocardiogram analysis apparatus includes a machine learning part that has a machine learning model realized by machine learning that uses training electrocardiogram data of a patient with paroxysmal arrhythmia during a non-paroxysmal period during which no episode of paroxysmal arrhythmia occurs; an input processing part that inputs electrocardiogram data of a person to be analyzed, which is a subject of analysis, into the machine learning model; and an output control part that outputs, to an information terminal, abnormality information which is to be output from the machine learning model and is about whether the person to be analyzed has paroxysmal arrhythmia.
CPC Classifications
A61B 5/0006 A61B 5/361 A61B 5/7267 A61B 5/363
Filing Date
2022-07-11
Application No.
17811860
Claims
11
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Source
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