[hwbehrens]

It's a 14-person training set with an 8-person test set, so my guess is that it can pretty accurately predict seizures in the small group of people it is trained on. Whether the model could be kernelized for a useful general deployment is unclear. It still requires many electrodes attached to the scalp, so there is a still a ways to go before it can be integrated into a watch, for example.

[m0zg]

They acknowledge this in the article - the system will have to be transfer learned for every patient. Which IMO is ideal, but you will need training/validation data, which in this case sounds like it'd be extremely expensive. Furthermore, the system could get automatically better over time _for that patient_, if properly designed and fed clean training samples.

[gnarcoregrizz]

I assume it’ll end up in an implant like RNS

[est31]

Yeah watches can't even detect whether you are sleeping or not. The products in the market are mainly accelerometer based and aren't really reliable if you e.g. are awake but don't move.