Medicine and Healthnpj Microgravity
Machine learning workflow for edge computed arrhythmia detection in exploration class missions
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This groundbreaking research by Cyril Mani, Tanya S. Paul, Patrick M. Archambault, and Alexandre Marois reveals a machine learning pipeline capable of detecting cardiac arrhythmias during deep-space missions, showcasing a decision tree classifier with impressive accuracy on EC data from wearable devices.
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