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30 Min ECG
30 Min ECG
A. Intro
Dataset link: ThirtyMinECG.txt
This dataset has two anomalies, of different types
A Premature ventricular contraction at: 309100 to 309500 (about 3 beats long)
A Supraventricular premature or ectopic beat 430900 to 431000 (about 1 beat in length)
Below are the top-2 left discords, with SubsequenceLength = 128, we easily find them
Why 128? We typically want a subsequence length that is less than the length of a full cycle, and 128 is the largest such power of two. Having said that, we also find the two anomalies with 64, or any number in-between.
B. Speed
This is too small of a dataset for pruning to really “kick in”, but we still manage to prune 97.8% of the data, and finish in 12.4 seconds (on an old underpowered desktop), this is about 145 times faster than real time.
>> tic;, leftMP_ver_3_3( ThirtyMinECG ), toc
Pruning Rate: 0.97848
Elapsed time is 12.462391 seconds.
C. Training data
A real strength of discords is how little training data they need. So, how much training data do we need here?
We only need 400 data points, that’s two heartbeats!
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