PULSE WAVEFORM-BASED DETECTION AND CATEGORIZATION OF CARDIOVASCULAR ANOMALIES

Title:

PULSE WAVEFORM-BASED DETECTION AND CATEGORIZATION OF CARDIOVASCULAR ANOMALIES

Document Type and Number:

WIPO Patent Application WO/2023/220670

Kind Code:

A3

Abstract:

A method for constructing and implementing an anomaly detection system for the evaluation of the health status of users through the analysis of their PPG signal measured using wearable technology. In one embodiment of this anomaly detection system, a convolutional neural network deep learning model is used to derive a feature vector of the PPG signal and construct a low dimensional feature map along with known cardiovascular health concerns to identify possible health concerns in users of unknown health status.

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Inventors:

OLIVIER LAURENCE (US)
DU PREEZ FRANCO (US)
VAN DYK JACOBUS (ZA)

Application Number:

PCT/US2023/066870

Publication Date:

January 04, 2024

Filing Date:

May 11, 2023

Export Citation:

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Assignee:

LIFEQ B V (NL)
OLIVIER LAURENCE RICHARD (US)

International Classes:

A61B5/0295; A61B5/0535; G06N3/02

Foreign References:

US20180303434A1	2018-10-25
US20220095982A1	2022-03-31
US11064892B2	2021-07-20

Attorney, Agent or Firm:

WARENZAK, Matthew, P. et al. (US)

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