250+ iOS apps curated and reviewed
From beginner-friendly picks to power-user tools, our ecg buddy research list covers 250+ iPhone apps updated through August 2026. Compare ratings, prices, and screenshots in one place.
| # | App | Price | Rating | Ads | In-App Purchases | Updated |
|---|---|---|---|---|---|---|
| 1 |  | Free | — | No | Yes | Aug 2026 |
| 2 |  | Free | 5.0★ (1) | No | Yes | Aug 2026 |
| 3 |  | Free | 5.0★ (1) | No | No | May 2026 |
| 4 |  | Free | 4.3★ (7) | No | No | May 2026 |
| 5 |  | Free | 4.7★ (54) | No | Yes | Aug 2026 |
| 6 |  | Free | 4.8★ (226K) | No | No | Aug 2026 |
| 7 |  | Free | — | No | No | Aug 2026 |
| 8 |  | $1.99 | 1.0★ (5) | No | No | Aug 2026 |
This AI-powered medical device analyzes ECGs for healthcare professionals, identifying 11 types of arrhythmias and 10 critical digital biomarkers. It supports analysis from various image sources and facilitates report sharing for emergency settings.
This app provides on-device ECG analysis using advanced AI models. It ensures privacy by processing all data locally, with no internet connection or cloud uploads required. Designed for research, it offers two distinct analysis engines for detailed signal understanding.
This medical reference guide provides a comprehensive overview of ECG analysis and interpretation. It features high-quality ECGs from real patients, annotated with explanations of normal and abnormal findings. Content is organized by ECG features and diagnoses for easy learning and reference.
Learn ECG interpretation through engaging, game-like challenges. Master common and critical rhythms with real-time waveform analysis and a high-score system. Compete globally to stay motivated and build practical skills.
Record medical-grade EKGs from home using a personal EKG device. Get instant analysis for common arrhythmias and easily share your heart data with your doctor for remote management of your heart health.
Learn to interpret electrocardiograms with this app designed for medical professionals and students. It offers descriptions of pathologies, explanations of the cardiac conduction system, and interpretation rules, all reinforced with practice tests.
Master electrocardiogram interpretation with this app. It offers practice quizzes with AI explanations, comprehensive learning modules, and detailed statistics to track your progress. Ideal for medical students and professionals looking to enhance their diagnostic skills.
This application assists with ECG interpretation and diagnosis through interactive prompts. It guides users through a systematic analysis with interval measurements, dropdown options, and annotations for accurate and efficient results.
Analyze ECG recordings from compatible health apps on a calibrated grid. Measure key metrics like HRV and QTc, track trends over time, and export detailed PDF reports. All processing is done on-device for enhanced privacy.
This app analyzes smartwatch ECG data, providing professional-grade insights into heart rhythm irregularities and heart rate variability. It uses AI to explain results in plain language and generates shareable PDF reports for cardiologists. Data is analyzed locally for complete privacy.
Master electrocardiogram interpretation with this comprehensive EKG tutor. Access a vast library of real clinical ECG tracings, detailed annotations, and interactive learning tools. Ideal for medical professionals and students to enhance diagnostic skills anytime, anywhere.
This app serves as a comprehensive guide and quick reference for electrocardiograms (ECGs/EKGs). It covers a wide range of rhythms, blocks, and myocardial infarctions, and includes interactive quizzes to test knowledge.
This application allows users to send over 200 types of ECG signal data to a connected simulator device via BLE. It helps test and verify the functionality of ECG machines by generating test signals based on uploaded data.
This app allows users to visualize, process, and analyze digital electrocardiogram (ECG) waveform data. It offers interactive charts, digital signal processing, and R-peak detection for heart rate variability evaluation. Processed data can be exported via email or cloud services.