The Feel Transformer, an Autoformer variant with pooling-constrained baseline extraction, decomposes wearable EDA signals into phasic and tonic parts and matches established methods on peak features while avoiding their interpolation artifacts.
Title resolution pending
1 Pith paper cite this work, alongside 21 external citations. Polarity classification is still indexing.
1
Pith paper citing it
21
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications
The Feel Transformer, an Autoformer variant with pooling-constrained baseline extraction, decomposes wearable EDA signals into phasic and tonic parts and matches established methods on peak features while avoiding their interpolation artifacts.