3 papers
cs.LG2025
Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis
Matthew B. Webster, Dongheon Lee, Joonnyong Lee
Biosignals can be viewed as mixtures measuring particular physiological events, and blind source separation (BSS) aims to extract underlying source signals from mixtures. This pape…
eess.SP2025
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
Matthew B. Webster, Joonnyong Lee
The task of blind source separation (BSS) involves separating sources from a mixture without prior knowledge of the sources or the mixing system. Single-channel mixtures and non-li…
eess.SP2025
Decoding Human Attentive States from Spatial-temporal EEG Patches Using Transformers
Yi Ding, Joon Hei Lee, Shuailei Zhang +2
Learning the spatial topology of electroencephalogram (EEG) channels and their temporal dynamics is crucial for decoding attention states. This paper introduces EEG-PatchFormer, a…