Product Introduction
The AI Long-Term ECG Monitoring System is designed for extended cardiac rhythm monitoring with intelligent AI-assisted analysis. The system supports continuous ECG monitoring for up to 14 days, helping physicians detect intermittent arrhythmias that may be missed during short-term monitoring. With a lightweight wearable ECG recorder, disposable ECG patch sensor, and cloud-based analysis platform, the system enables hospitals, clinics, and remote care providers to perform efficient cardiac diagnostics.
Powered by advanced AI algorithms trained on 100M+ hours of real-world ECG data, the system can automatically detect 70+ types of arrhythmias within minutes while allowing cardiologists to review and validate reports. The system is widely used in arrhythmia screening, post-ablation follow-up, stroke evaluation, and remote patient monitoring, providing a reliable and scalable solution for modern cardiac care.
Product features
Product parameters
| Parameter | Specification |
| Product Name | YMHeart AI Long-Term ECG Monitoring System |
| Monitoring Duration | Up to 14 Days |
| Arrhythmia Detection | 70+ Types |
| AI Training Data | 100M–200M+ ECG Hours |
| AI Analysis Time | 1–3 Minutes |
| Recorder Protection | IP27 Waterproof |
| Recorder Life | 5+ Years |
| Connectivity | Bluetooth / USB Data Box |
| Software | PC Clinical Dashboard + Mobile App |
| Report Accuracy | 98.5% AI-Doctor Match Rate |
Core Advantages
Application Scenarios
● Arrhythmia Detection: Long-term ECG monitoring helps physicians detect intermittent arrhythmias that may not appear during short-term examinations.
● Post-Ablation Follow-Up: The system is widely used for monitoring heart rhythm after catheter ablation procedures to evaluate treatment outcomes.
● Stroke Risk Assessment: Continuous ECG monitoring assists in identifying atrial fibrillation and other cardiac abnormalities associated with cryptogenic stroke.
● Remote Patient Monitoring: The system enables healthcare providers to remotely monitor patients at home, improving chronic disease management and early diagnosis.
Product display