ECG AI vs ECG Buddy

Experience the next level of heart health monitoring with our cutting-edge ECG analysis app. Seamlessly sync your Apple Watch ECG readings for in-depth analysis that goes beyond the surface. Our advanced algorithms detect and interpret ECG waves, providing comprehensive insights into your heart's rhythm, including P, QRS, and T waves, as well as QTc intervals. With enhanced functionality, you can now visualize the average template beat, edit its delineation, and track key intervals like P, QRS, T, and QTc. The app also provides powerful tools for heart rate variability (HRV) analysis, including both frequency and time domain views, along with a Poincare Plot to explore HRV trends in a unique way. Additionally, the HRV histogram helps you understand the distribution of heart rate variability over time. The Signal View now displays the duration of each detected interval (e.g., P, QRS, T) in milliseconds (ms), making it easier to track and compare these key heart rhythm markers. Customize thresholds for intervals such as P, QRS, QT, and QTc, and receive real-time alerts when your readings fall outside these ranges, helping you manage your heart health more proactively. Track changes over time and gain a deeper understanding of your heart health journey. Share your ECG data with your healthcare provider for tailored advice and support. Important: This app is not a substitute for professional medical advice, diagnosis, or treatment. Always consult with a healthcare provider before making any medical decisions or acting on the information provided by this app. We prioritize your privacy and security, encrypting and securely storing your health information. With easy sharing options, collaborate with your personal physician for tailored advice and support. Take control of your heart's rhythm today with our intelligent ECG analysis app.

Your eyes see Rhythm. AI sees Risk. ECG Buddy is an AI-powered ECG analysis medical device developed for healthcare professionals in hospitals and emergency settings. With just a single scan from your smartphone or tablet, it provides 11 types of arrhythmia classifications and 11 critical digital biomarkers (LVEF, Shock, Myocardial Infarction, Heart Failure, etc.). Experience ECG Buddy, currently trusted by 90+ hospitals, for free on your mobile device. [Essential Features for Emergency Care] • 11 Heart Rhythm Classifications: Automated detection of various arrhythmias. • 11 Digital Biomarkers: Instant numerical and graphical risk assessment for critical conditions (LVEF, Shock, ACS, STEMI, Pulmonary Edema, Pericardial Effusion, LV/RV Dysfunction, Pulmonary Hypertension, Hyperkalemia, etc.). • Auto-Region Detection: Intelligent recognition and framing of ECG image areas. • Versatile Image Analysis: Analyze ECGs from your photo gallery, paper records, or web-based images. • Consult: Seamlessly transmit analysis results to medical teams during emergency patient transport. [Proven Clinical Utility] • Trusted by 100+ Hospitals: Integrated and actively used within major hospital systems in Korea. • 17 Peer-Reviewed Papers: Accuracy and clinical utility validated through extensive research and publications. • Certified with ISO 27001 & ISO 27701 international security standards. [Usage Policy] • 1 credit is used per analysis. Credits are automatically issued on a monthly basis. • Free to start: Analyze up to 3 ECGs per day and 30 per month for free. • Paid subscription ($19/month or $190/year): Up to 20 analyses per day and 200 per month. [Precautions] • Please read the "Instructions for Use" before clinical application. • Clinical use is restricted to countries where regulatory approval has been granted. For educational and research purposes, use should be limited to post-case reviews and educational interpretations. • For clinical use, this device is intended for physicians capable of interpreting 12-lead ECGs or medical personnel who transmit results to such physicians. • This tool is designed to support diagnostic and treatment decisions and can never replace the professional medical judgment of a physician. *For any inquiries or for more information, please visit our website (www.arpi.ai).