SYSTEM FOR DETECTING CARDIAC ANOMALIES

Abstract

ABSTRACT A system (100) for detecting cardiac anomalies, the system (100) comprising: a user interface (102) configured to enable a user to provide a plurality of inputs associated with the user’s health; a processor (104) communicatively coupled with the user interface (102), wherein the processor (104) is configured to: receive the plurality of inputs, analyse the plurality of inputs using a trained artificial intelligence (AI) model, predict cardiac anomalies, based at least on the analysis, and generate an alert notification on the user interface (102) regarding the cardiac anomalies.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of health care system and in particular relates to a system for detecting cardiac anomalies designed to enhance health monitoring and improve early detection of potential cardiovascular issues.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Conventional systems for detecting cardiac anomalies have been integral to the field of cardiology, providing essential tools for the diagnosis and management of heart-related conditions. These syst , Claims:1. A system (100) for detecting cardiac anomalies, the system (100) comprising:
a user interface (102) configured to enable a user to provide a plurality of inputs associated with the user's health;
a processor (104) communicatively coupled with the user interface (102), wherein the processor (104) is configured to:
receive the plurality of inputs,
analyse the plurality of inputs using a trained artificial intelligence (AI) model,
predict cardiac anomalies, based at least on the analysis, and
generate an alert notification on the user interface (102) regarding the cardiac anomalies.

2. The system (100) as claimed in claim 1, wherein the plurality of inputs includes but not limited to age, sex, chest pain type, cholesterol level, age, sugar level, electro cardiograph result, heart rate, blood pressure, angina based on exercise, old peak, slope, and amount of vessels.

3. The system (100) as claimed in claim 1, wherein the AI model is trained using a historical data and training data.

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