MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202441032722 A) filed by Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College; Ms. J. Manju; Vishal S; Muhilan M; Tharun M; and Theagarajan A C, Chennai, Tamil Nadu, on April 25, 2024, for 'real time detection of normal sinus rhythm arrhythmias and congestive heart failure from ecg.'
Inventor(s) include Ms. J. Manju; Vishal S; Muhilan M; Tharun. M; and Theagarajan A C.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "The present invention proposes a novel and innovative approach to real-time electrocardiogram (ECG) analysis and classification using cutting-edge neural network architectures and Internet of Things (IoT) devices. Cardiovascular diseases remain a significant global health concern, and early detection and diagnosis are crucial for timely intewention and effective treatment. The ECG has long been a fundamental diagnostic tool in ~cardiology, but traditional ECG machines are oftenjnaccessibIe for home usage clue to their high cost and technical complexity. The proposed system addresses these limitations by introducing a simple, cost-efficient, and easy-to-access ECG analyser. The core of the invention lies in its ability to acquire ECG signals in real-time from the subject, transmit and display them on [0T devices such as smartphones or tablets, and perform preliminary diagnosis through advanced convolutional neural network (CNN) algorithms. The CNN is trained to classify the ECG signals into three categories: arrhythmia (ARR), congestive heart failure (CI-IF), and normal sinus rhythm (NSR), providing valuable insights into the subject's cardiac condition. By combining cutting1edge neural network architectures with the ubiquity of [OT devices, the invention enables continuous, unobtrusive cardiac monitoring and enhances patient well-being and healthcare efficiency. The system is designed to be portable, affordable, and accessible to anyone with a smartphone, offering an inexpensive solution for preliminary diagnosis without the need for expensive equipment. This innovation holds the potential to revolutionize cardiac care by providing early detection and management of cardiovascular diseases, ultimately contributing to improved patient outcomes and reduced healthcare costs."
Disclaimer: Curated by HT Syndication.
