PhysioWave-T cuts biosignal token length with wavelet scale folding
A 30M EEG encoder leads 8 of 9 metrics versus BENDR, BIOT, LaBraM and EEGPT, and RALF lifts seizure sensitivity from 61.4% to 74.4%.
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A 30M EEG encoder leads 8 of 9 metrics versus BENDR, BIOT, LaBraM and EEGPT, and RALF lifts seizure sensitivity from 61.4% to 74.4%.
On PhysioNet ECG data the best model reached a peak F1 score of 96.95%.
It is pretrained on more than 800,000 unlabeled MIMIC-IV ECGs and fine-tuned on three labeled datasets.

On about 21,800 recordings, encryption overhead ran from roughly 30% to 1,200% while accuracy stayed near 97% to 99.9%.
Lead I models from four public ECG databases were deployed on an Espressif ESP-EYE for continuous checks.
PRISM reports high AUROCs for emergency diagnosis, deterioration, ICU admission, and mortality.
ECGWmark watermarks ECG signals without quantization and keeps over 90% bit accuracy under circular shifts.
A multimodal model using ECG-derived and electrodermal signals classifies dental pulp-test responses in 49 patients.
BeatGraph learns infant ECG from heartbeat graphs and releases 3,408 hours of home recordings.
A Siamese ResNet identifies people from ECG under exercise stress and across sessions at low error rates.
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