vishaln15/OptimizedArrhythmiaDetection
Code for Optimized Arrhythmia Detection on Ultra-Edge Devices
This project helps medical device developers create extremely efficient arrhythmia detection systems for wearable or implantable devices. It takes raw ECG data and processes it through a machine learning pipeline to identify different types of heart arrhythmias. Medical device engineers and researchers focused on portable health monitoring would find this useful.
No commits in the last 6 months.
Use this if you are designing a low-power, compact medical device that needs to quickly and accurately detect heart arrhythmias from ECG data.
Not ideal if you require a high-throughput, cloud-based analysis system for large-scale clinical trials or a system focused on comprehensive diagnostic reporting.
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11
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6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 26, 2022
Commits (30d)
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