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DEEPX Neural Processor Predicts Cardiovascular Disease Using AI

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Summary

USPTO granted Patent US12609200B2 to DEEPX CO., LTD. for a neural processing unit that implements an artificial neural network model to predict cardiovascular disease onset. The ANN model processes sensing data from ECG, respiration, pulse rate, acceleration, and body temperature to output probabilities for cerebral infarction, heart failure, and ischemic heart disease.

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About this source

GovPing monitors USPTO Patent Grants - 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 — 35 changes logged to date.

What changed

USPTO granted Patent US12609200B2 to DEEPX CO., LTD. (inventor: Lokwon Kim) for a neural processing unit implementing an ANN model to predict cardiovascular disease. The system processes multiple sensing inputs including ECG, respiration, pulse rate, acceleration, and body temperature to output disease-onset probabilities for cerebral infarction, heart failure, and ischemic heart disease. The patent covers the controller, PE array, special function unit, and on-chip memory architecture for executing the compiled ANN machine code.

Competitors developing AI-powered cardiovascular diagnostic hardware or wearable medical devices should review this patent for potential licensing needs or design-around considerations. Manufacturers of neural processing units for health monitoring applications are the primary audience for this IP event.

Archived snapshot

Apr 22, 2026

GovPing 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.

← USPTO Patent Grants

Neural processing unit for cardiovascular disease prediction artificial neural network model

Grant US12609200B2 Kind: B2 Apr 21, 2026

Assignee

DEEPX CO., LTD.

Inventors

Lokwon Kim

Abstract

A neural processing unit includes a controller to receive a compiled machine code of an artificial neural network (ANN) model for predicting cardiovascular disease, the ANN model configured to receive sensing data of ECG, respiration, pulse rate, acceleration, and/or body temperature and to output a probability of disease onset for cerebral infarction, heart failure, and/or ischemic heart disease in a user; an input circuit configured to receive a plurality of input signals corresponding to the ANN model; a processing element (PE) array to perform a calculation of the ANN model; a special function unit (SFU) to perform a special function of calculating the ANN model; and an on-chip memory to store operation data of the ANN model, wherein the controller controls the PE array, the SFU, and the on-chip memory to process the ANN model according to data locality information of the ANN model included in the compiled machine code.

CPC Classifications

G16H 50/20 G06N 3/063

Filing Date

2023-04-13

Application No.

18134544

Claims

19

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Last updated

Classification

Agency
USPTO
Published
April 21st, 2026
Instrument
Rule
Branch
Executive
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12609200B2

Who this affects

Applies to
Manufacturers
Industry sector
3341 Computer & Electronics Manufacturing
Activity scope
Patent granting AI model execution Health monitoring devices
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Medical Devices Artificial Intelligence

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