activity
20202026
most citedToward Interpretable Sleep Stage Classification Using Cross-Modal Transformers

53 citations · 83 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2026

A Dry-Contact Ear-EEG System With Continuous Electrode-Skin Impedance Mismatch Monitoring for Motion Artifact Cancellation Using DRL Stimulus

Lohan Atapattu, Sajitha Madugalle, Imasha Nethmal +6

Dry-contact ear-electroencephalography (Ear-EEG) enables wearable neural monitoring. However, motion induced electrode-skin impedance (ESI) mismatches between electrodes can severe…

eess.SP2025

A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech

Simon Geirnaert, Simon L. Kappel, Preben Kidmose

Current assistive hearing devices, such as hearing aids and cochlear implants, lack the ability to adapt to the listener's focus of auditory attention, limiting their effectiveness…

eess.SP2022

A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data

Mithunjha Anandakumar, Jathurshan Pradeepkumar, Simon L. Kappel +2

Sleep plays a crucial role in the well-being of human lives. Traditional sleep studies using Polysomnography are associated with discomfort and often lower sleep quality caused by…

cs.LG2022★ 53 cited

Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers

Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan +4

Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed , and i…

cs.ET2020★ 12 cited

Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms

Asma M. Naim, Kithmin Wickramasinghe, Ashwin De Silva +3

Surface electromyography (sEMG) is a popular bio-signal used for controlling prostheses and finger gesture recognition mechanisms. Myoelectric prostheses are costly, and most comme…

eess.SP2020★ 18 cited

Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel sEMG Signals

Ashwin De Silva, Malsha V. Perera, Kithmin Wickramasinghe +3

Accurate and real-time hand gesture recognition is essential for controlling advanced hand prostheses. Surface Electromyography (sEMG) signals obtained from the forearm are widely…