| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 3 | Longo L., Reilly R. | Instantiating the onEEGwaveLAD Framework for Real-Time Muscle Artefact Identification and Mitigation in EEG Signals | Sensors | 2025 |  
@Article{s25165018, AUTHOR = {Longo, Luca and Reilly, Richard}, TITLE = {Instantiating the onEEGwaveLAD Framework for Real-Time Muscle Artefact Identification and Mitigation in EEG Signals}, JOURNAL = {Sensors}, VOLUME = {25}, YEAR = {2025}, NUMBER = {16}, ARTICLE-NUMBER = {5018}, URL = {https://www.mdpi.com/1424-8220/25/16/5018}, ISSN = {1424-8220}, DOI = {10.3390/s25165018} } [Close]
| electroencephalography • muscle artefacts • real-time denoiser • discrete wavelet transform • Isolation Forest • machine learning • signal processing and restoration • sliding moving buffer |
| 2 | Longo L., Reilly R.B. | onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation | Plos One | 2025 | 
@article{10.1371/journal.pone.0313076, doi = {10.1371/journal.pone.0313076}, author = {Longo, Luca AND Reilly, Richard B.}, journal = {PLOS ONE}, publisher = {Public Library of Science}, title = {onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation}, year = {2025}, month = {01}, volume = {20}, url = {https://doi.org/10.1371/journal.pone.0313076}, pages = {1-25}, number = {1}, } [Close]
| Electroencephalography • Isolation Forests • Computational pipelines • Trees • Probability distribution • Time domain analysis • Wavelet transforms • Denoiser • Artefacts • Signal processing |
| 1 | Lal U, Chikkankod V. A, Longo L. | A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults | Brain Sciences | 2024 |
@Article{brainsci14040335, AUTHOR = {Lal, Utkarsh and Chikkankod, Arjun Vinayak and Longo, Luca}, TITLE = {A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults}, JOURNAL = {Brain Sciences}, VOLUME = {14}, YEAR = {2024}, NUMBER = {4}, ARTICLE-NUMBER = {335}, URL = {https://www.mdpi.com/2076-3425/14/4/335}, ISSN = {2076-3425}, DOI = {10.3390/brainsci14040335} } [Close]
| electroencephalography • neural signal processing • feature extraction techniques • supervised learning • deep learning • machine learning |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |