Tag

#signal processing

March 11, 20255 min read

Audio preprocessing that matters more than the model

In short: on medical audio, the steps before the model decide most of what the model can learn. Resampling, trimming, filtering, fixed-length windows and a split by patient each remove a shortcut the…

January 28, 20255 min read

GCN_for_EEG, five years later

In short: GCN_for_EEG got its stars because it removed one barrier, MATLAB, at a time when graph networks on EEG were new to most people. Five years on, the idea still holds, but the setup would not…

January 14, 20255 min read

Merging two sensor streams that tick at different rates

In short: to put a 100 Hz signal and irregular detections on one 10 Hz clock, summarise the dense stream per bin, count and carry forward the sparse one, and make sure no bin ever sees a sample from…

December 17, 20244 min read

Respiratory sound classification, end to end

In short: I took a public set of lung sound recordings all the way from raw audio to a web demo anyone can upload a file to. The model was the smallest part. Most of the work was deciding what to…

October 8, 20244 min read

What an earbud's motion sensor can tell you

In short: a six-axis motion sensor in an earbud sees enough to tell sitting from walking from nodding. Before any of that is learnable, though, you have to remove the differences between people and…