Detecting ECG Signal Abnormalities
Design a lightweight solution for an embedded device: four meta-features, a small random forest, and five classes describing normal rhythm and ECG abnormalities.
CPU only, without internet access
Time limit: 1:00 ● RAM: 12,00GB
Difficulty:
3,2
OAI II
OAI stage 1
ML
Decision trees
Sequences
PyTorch
Leaderboard
PlaceUserScore
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