246+ iOS apps curated and reviewed
Kardia is the household name in ecg algorithms, but it's far from the only option. We track 246+ alternatives and competitors on iOS — many free, many higher-rated than you'd expect.
| # | App | Price | Rating | Ads | In-App Purchases | Updated |
|---|---|---|---|---|---|---|
| 1 |  | Free | 4.8★ (226K) | No | No | Aug 2026 |
| 2 |  | Free | — | No | No | May 2026 |
| 3 |  | $1.99 | 1.0★ (5) | No | No | Aug 2026 |
| 4 |  | $3.99 | — | No | No | Jul 2026 |
| 5 |  | Free | — | No | Yes | May 2026 |
| 6 |  | Free | 4.1★ (14) | No | Yes | Aug 2026 |
| 7 |  | Free | 4.3★ (7) | No | No | May 2026 |
| 8 |  | Free | — | Yes | No | May 2026 |
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 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 electrocardiogram interpretation through pattern recognition with this app. It covers basic concepts like rate calculation and rhythm analysis, progressing to advanced topics such as rhythm disturbances and cardiac ischemia. It serves as a reference atlas for emergency situations.
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.
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 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.
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.
This app provides a vast library of interpreted ECG cases to help medical professionals and students enhance their electrocardiogram reading skills. It offers interactive learning modes and detailed case analyses, reducing the need for multiple reference sources.
Learn a systematic approach to interpreting ECGs with concise videos, quizzes, and practice examples. This course is designed for healthcare professionals and students seeking to master cardiac physiology and EKG analysis.
This pocket guide offers essential skills for ECG interpretation, rhythm strip analysis, and arrhythmia treatment. It features helpful charts, illustrations, and definitions for students and new nurses. Access content offline and use smart search for quick information retrieval.
Get your ECGs analyzed by certified experts within minutes for peace of mind. This app supports various devices like Apple Watch and Fitbit, offering detailed interpretations of palpitations and abnormal heart rhythms. Track heart rate variability to monitor stress and recovery.
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.