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At Persyst we use neural networks for EEG interpretation. Our latest version has human-level performance for epileptogenic spike detection. We are now working on bringing the seizure detection algorithm to human-level performance.


Using neural networks to model neural networks is adorably meta.


I was wondering the other day if anyone had applied this technology to EKGs. Do you also do that?


Funny you should ask, detecting QRS complexes has been my first project since starting here. I know of a few papers where the authors have applied neural networks to EKGs, but the applications have been purely academic. I'm not aware of any other companies that use NNs in practice. (There may well be some, but they tend to be secretive about how their algorithms work.) At any rate, the false positive rate of our software is now about an order of magnitude lower than anything else on the market.


Congrats on your application. Sounds very useful.

And thanks for the info. I worked years ago on a training program for EKGs and it seemed like a field ripe for application of ML and AI.


We use them for EMG data/interpretation as well.


Neat - I used convolutional neural networks to classify electrocorticographic signals during my PhD work. I'll definitely check you guys out!




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