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Disposable Ai Integrated Cardiac Monitoring Patch For Real Time Detection Of Arrhythmias, Ischemia, And Cardiac Abnormalities With Enhanced Nursing Intervention And Patient Care

Abstract: The invention pertains to a disposable, AI-integrated cardiac monitoring patch designed to provide continuous, real-time detection of cardiac abnormalities such as arrhythmias and ischemia. This innovative wearable device utilizes advanced artificial intelligence algorithms to analyze electrocardiographic (ECG) data, facilitating predictive analytics and immediate alerts for healthcare providers. Its design ensures patient comfort during prolonged wear and enhances nursing interventions through seamless integration with mobile applications and cloud based platforms. The patch features high-fidelity sensors for accurate data collection, a lightweight and water-resistant design, and customizable alert thresholds tailored to individual patient needs. This solution aims to significantly improve patient outcomes by enabling early detection and timely medical response, particularly for high-risk cardiac patients, thereby enhancing overall quality of care in both clinical and home settings.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
24 November 2024
Publication Number
49/2024
Publication Type
INA
Invention Field
BIO-MEDICAL ENGINEERING
Status
Email
Parent Application

Applicants

IMRAN KHAN
Sharda University Private university in Greater Noida, Uttar Pradesh PIN 201306.
Dr T David Ratna Paul
Associate Professor cum HOD MHN, Department of Mental Health Nursing, Sharda School of Nursing Science and Research, Sharda University
Dr Nitika Thakur
Associate Professor, Department of Child Health Nursing, Sharda School of Nursing Science and Research, Sharda University
Ms Nongmeikapam Helena
Associate Professor, Department of Child Health Nursing, Sharda School of Nursing Science and Research, Sharda University
Ms Soniya Sharma
Senior lecturer Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University
Ms Ritu Verma
Assistant Professor, Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University
Ms Pallavi Sharma
Assistant Professor, Department of Cardio-Vascular Technology Sharda School of Allied Health Science, Sharda University
Ms Subbu Laxshmi
Senior Tutor, Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University
Ms M. C. Kniranda
Assistant Professor, Department of Child Health Nursing, Sharda School of Nursing Science and Research, Sharda University
Ms Neha Karan
Senior Tutor, Department of Community Health Nursing, Sharda School of Nursing Science and Research, Sharda University
Ms Sonia Lawai
Senior Tutor, Department of Obstetrics and Genecology, Sharda School of Nursing Science and Research, Sharda University
Ms Ankita Chhikara
Senior Tutor, Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University

Inventors

1. IMRAN KHAN
Sharda University Private university in Greater Noida, Uttar Pradesh PIN 201306.
2. Dr T David Ratna Paul
Associate Professor cum HOD MHN, Department of Mental Health Nursing, Sharda School of Nursing Science and Research, Sharda University
3. Dr Nitika Thakur
Associate Professor, Department of Child Health Nursing, Sharda School of Nursing Science and Research, Sharda University
4. Ms Nongmeikapam Helena
Associate Professor, Department of Child Health Nursing, Sharda School of Nursing Science and Research, Sharda University
5. Ms Soniya Sharma
Senior lecturer Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University
6. Ms Ritu Verma
Assistant Professor, Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University
7. Ms Pallavi Sharma
Assistant Professor, Department of Cardio-Vascular Technology Sharda School of Allied Health Science, Sharda University
8. Ms Subbu Laxshmi
Senior Tutor, Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University
9. Ms M. C. Kniranda
Assistant Professor, Department of Child Health Nursing, Sharda School of Nursing Science and Research, Sharda University
10. Ms Neha Karan
Senior Tutor, Department of Community Health Nursing, Sharda School of Nursing Science and Research, Sharda University
11. Ms Sonia Lawai
Senior Tutor, Department of Obstetrics and Genecology, Sharda School of Nursing Science and Research, Sharda University
12. Ms Ankita Chhikara
Senior Tutor, Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University

Specification

Description:This invention relates to the field of wearable medical devices specifically
designed for continuous cardiac monitoring. It emphasizes the integration of
artificial intelligence to enhance real-time detection of arrhythmias, ischemia, and
other cardiac abnormalities. , Claims:Claim 1: A disposable cardiac monitoring patch comprising an AI-driven
processor for real-time detection of cardiac abnormalities.
Claim 2: The patch of claim 1, wherein the AI system predicts future
cardiac events based on continuous monitoring of ECG data.
Claim 3: The patch of claim 1, further comprising a wireless communication
module for transmitting data to mobile devices or a cloud server.
Claim 4: A method for enhancing nursing intervention through real-time
alerts, wherein the patch monitors a patient’s cardiac activity and notifies
healthcare providers of abnormalities.

Documents

Application Documents

# Name Date
1 202411091459-Sequence Listing in PDF [24-11-2024(online)].pdf 2024-11-24
2 202411091459-REQUEST FOR EARLY PUBLICATION(FORM-9) [24-11-2024(online)].pdf 2024-11-24
3 202411091459-PROVISIONAL SPECIFICATION [24-11-2024(online)].pdf 2024-11-24
4 202411091459-FORM-9 [24-11-2024(online)].pdf 2024-11-24
5 202411091459-FORM 1 [24-11-2024(online)].pdf 2024-11-24
6 202411091459-DRAWINGS [24-11-2024(online)].pdf 2024-11-24
7 202411091459-COMPLETE SPECIFICATION [24-11-2024(online)].pdf 2024-11-24