DEEPX Neural Processor Predicts Cardiovascular Disease Using AI
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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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, 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.
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
Parties
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