CNN-BASED SYSTEM FOR HEART DISEASE PREDICTION

Abstract

ABSTRACT A system (100) for heart disease prediction, comprising: a plurality of sensors configured to collect real-time cardiovascular data from a patient; a communication module configured to transmit the real-time cardiovascular data from the sensors; a control module comprising: a processor configured to receive and analyze the real-time cardiovascular data; a Convolutional Neural Network (CNN) module integrated with the processor, wherein the CNN module is configured to detect patterns in the cardiovascular data indicative of heart disease; a user interface configured to display the results of the analysis and allow for real-time monitoring and adjustment of diagnostic parameters.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of medical technology and, in particular, to a system for heart disease prediction using a Convolutional Neural Network (CNN) algorithm to enhance accuracy, efficiency, and early diagnosis in medical practices.
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] Early and accurate prediction of heart disease is crucial for effective treatment and improved patient outcomes. Traditional diagnostic methods often rely on manual interpretation o , Claims:WE CLAIM:
1. A system (100) for heart disease prediction, comprising:
a plurality of sensors configured to collect real-time cardiovascular data from a patient;
a communication module configured to transmit the real-time cardiovascular data from the sensors;
a control module comprising:
a processor configured to receive and analyze the real-time cardiovascular data;
a Convolutional Neural Network (CNN) module integrated with the processor, wherein the CNN module is configured to detect patterns in the cardiovascular data indicative of heart disease;
a user interface configured to display the results of the analysis and allow for real-time monitoring and adjustment of diagnostic parameters.

2. The system (100) as claimed in claim 1, wherein the sensors include one or more of electrocardiogram (ECG) sensors, heart rate sensors, blood pressure sensors, and wearable sensors configured to monitor physical activity.

3. The system (100) as claimed in claim 1, wherein the communication module utilizes wireless comm

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