most citedBenchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep

37 citations · 37 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2025

Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms

Khrystyna Semkiv, Jia Zhang, Maria Laura Ferster +1

Current methods for detecting artifacts in sleep EEG range from threshold-based algorithms to machine learning approaches, yet applications remain limited for single-channel mobile…

eess.SP2022★ 37 cited

Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep

Maria Laura Ferster, Giulia Da Poian, Kiran Menachery +6

Auditory stimulation of EEG slow waves (SW) during non-rapid eye movement (NREM) sleep has shown to improve cognitive function when it is delivered at the up-phase of SW. SW enhanc…