Empowering Heart Health with AI
A revolutionary ECG classification application and research initiative dedicated to improving cardio careOur Vision
We envision a world where everyone has access to quality healthcare, with a strong focus on cardio care. Through open-source initiatives, research, and community engagement, we are determined to make a difference.
What We Offer
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Discover our state-of-the-art cardio care solutions designed to monitor, analyze, and improve heart health. We offer a range of ECG classification tools and connected health devices.
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We believe in the power of collaboration. Join our open-source community to contribute, share, and learn about cutting-edge healthcare technologies.
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Join the TachyCare community and connect with like-minded individuals, healthcare professionals, and innovators. Share your knowledge and experiences to make an impact.
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Explore our research papers, articles, and insights on the latest developments in healthcare, particularly in the field of cardio care. We aim to drive the industry forward through knowledge sharing.
Here's a little more about our solutions
Atrial Fibrillation Detection
See Your Heart Health at a GlanceWitness the power of our app in detecting Atrial Fibrillation. Our cutting-edge technology provides accurate and real-time analysis, giving you the information you need to take control of your heart health.
Academic Contributions
AfibPred utilizes deep transfer learning for accurate AFib detection from short ECG data, achieving an impressive 97% F1-score, revolutionizing early diagnosis in cardiac care.
Afib-CNN addresses ECG data variability with innovative pre-processing and architecture, enhancing the reliability and accuracy of arrhythmia detection in diverse patient data.
ECGBlocks introduces a novel block-based segmentation with a stacked CNN, effectively managing varied ECG lengths and achieving robust performance in AFib detection.
Combining SCNN embeddings with machine learning classifiers, this approach optimizes ECG classification, balancing high performance with computational efficiency.
ECGCraft creatively generates synthetic 12-lead ECG signals, offering a scalable and privacy-compliant solution for cardiac research and diagnostics, bypassing real patient data.
