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ECG-Restore

Tag Name: ECG Restore
Restoring Clinical Clarity to Every Heartbeat.
An AI-powered ECG restoration platform that transforms noisy, corrupted wearable heart signals into clinical-grade ECG quality for more accurate cardiac monitoring and diagnosis.

Discover ECG Restore

AI-Powered ECG Signal Restoration

ECG Restore is a next-generation AI-powered cardiac signal enhancement platform designed to restore noisy, corrupted, and low-quality ECG signals into clinical-grade heart monitoring data.

Using advanced Operational Cycle-GAN deep learning models, the technology intelligently reconstructs distorted ECG signals acquired from wearable sensors, Holter monitors, and remote cardiac monitoring devices, enabling more reliable detection of cardiac abnormalities.

By transforming poor-quality ECG into high-fidelity clinical signals, ECG Restore bridges the gap between wearable convenience and hospital-grade cardiac diagnostics.

Signal Restoration

Transforms noisy ECG data into clean, clinical-grade signals.

AI Reconstruction

Powered by Operational Cycle-GAN for intelligent cardiac signal recovery.

Wearable Integration

Compatible with wearable sensors and remote monitoring devices.

Introduction

ECG recordings collected from wearable devices and remote monitoring systems are often affected by:
  • Motion artifacts
  • Signal interruptions and baseline drift
  • Electrical interference and noise
  • Variations in signal quality due to movement
These distortions can significantly reduce diagnostic accuracy and limit the effectiveness of arrhythmia detection, remote monitoring, and AI-assisted cardiac analysis.
ECG Restore solves this challenge.
Through advanced AI-based signal restoration, the platform reconstructs corrupted ECG recordings in real time, producing clinical-quality ECG signals that support more accurate interpretation by both clinicians and intelligent diagnostic systems.
This enables more reliable heart monitoring anywhere — from hospitals to wearable devices.

Inventors

1 Prof. Serkan Kiranyaz
2 Ozer Can Devecioglu
3 Turker Ince
4 Junaid Malik
5 Muhammad Chowdhury
6 Amith Khandakar
7 Anas Tahir
8 Tawsifur Rahman
9 Moncef Gabbouj

Main Features

AI-Powered ECG Restoration

Transforms noisy and corrupted ECG signals into clinical-grade quality using advanced deep learning.

Real-Time Signal Enhancement

Restores ECG recordings immediately after acquisition for faster cardiac assessment.

Wearable Device Integration

Compatible with Holter monitors, wearable ECG sensors, and remote monitoring systems.

Improved Arrhythmia Detection

Enhances ECG accuracy for better identification of heartbeat abnormalities.

Clinical-Grade ECG from Everyday Devices

Brings hospital-quality ECG interpretation to consumer and wearable technologies.

Scalable Digital Health Platform

Can be integrated into telemedicine systems, smart wearables, and AI diagnostic platforms.

Strategic Opportunities

Wearable Health Technology

Enhances ECG quality for smartwatches and wearable cardiac devices.

Remote Patient Monitoring

Improves reliability of telehealth and home-based cardiac care.

AI-Driven Cardiology

Supports advanced arrhythmia screening and cardiac analytics.

Hospital & Clinical Diagnostics

Improves signal quality for cardiologists and healthcare providers.

Digital Health & Medical AI

Supports next-generation smart healthcare ecosystems.

Value Proposition

Clinical-Grade ECG from Wearables

Transforms low-quality wearable ECG into reliable clinical signals.

More Accurate Diagnosis

Improves cardiac abnormality detection and reduces diagnostic uncertainty.

Real-Time AI Restoration

Provides immediate ECG enhancement without manual intervention.

Cost-Effective Cardiac Monitoring

Enables advanced heart monitoring without expensive clinical equipment.

Scalable Across Healthcare Systems

Applicable to hospitals, wearables, telemedicine, and remote care.

Status of the Invention

  Intellectual Property Filed (QU2019-005 | App No: 18/119,659)
  Technology Readiness Level: TRL-7
  Advanced Validation Completed

Invitation to Industry — Collaborate With Us

Join us in redefining the future of smart cardiac monitoring. ECG Restore is ready for:
  • Licensing & commercialization
  • Wearable ECG integration
  • Digital health partnerships
  • Telemedicine and remote monitoring applications
  • AI-healthcare collaborations
With strong research backing from Qatar University, ECG Restore represents a breakthrough in AI-powered cardiac signal restoration, enabling clearer signals, more accurate diagnosis, and smarter heart care.

More Information

IP image  

Connect With Us

   Innovation Office — Qatar University  |      +974-4403-7197  |       QU.IP@qu.edu.qa
IP Number: QU2019-005 | App No: 18/119,659