| In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation HJ Davies, I Williams, NS Peters, DP Mandic Sensors 20 (17), 4879, 2020 | 77* | 2020 |
| Wearable in-ear PPG: Detailed respiratory variations enable classification of COPD HJ Davies, P Bachtiger, I Williams, PL Molyneaux, NS Peters, DP Mandic IEEE Transactions on Biomedical Engineering 69 (7), 2390-2400, 2022 | 32 | 2022 |
| The 2023 wearable photoplethysmography roadmap PH Charlton, J Allen, R Bailón, S Baker, JA Behar, F Chen, GD Clifford, ... Physiological measurement 44 (11), 111001, 2023 | 17 | 2023 |
| Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring E Occhipinti, HJ Davies, G Hammour, DP Mandic 2022 International Joint Conference on Neural Networks (IJCNN), 1-6, 2022 | 16 | 2022 |
| In-Ear SpO2 for Classification of Cognitive Workload HJ Davies, I Williams, G Hammour, M Yarici, MJ Stacey, BM Seemungal, ... IEEE Transactions on Cognitive and Developmental Systems, 2022 | 10 | 2022 |
| A transition probability based classification model for enhanced N1 sleep stage identification during automatic sleep stage scoring HJ Davies, T Nakamura, DP Mandic 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 10 | 2019 |
| Imaging with therapeutic acoustic wavelets–short pulses enable acoustic localization when time of arrival is combined with delay and sum HJ Davies, SV Morse, MJ Copping, K Sujarittam, VD Bourgin, MX Tang, ... IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2020 | 9 | 2020 |
| Hearables: feasibility of recording cardiac rhythms from single in-ear locations M Yarici, W Von Rosenberg, G Hammour, H Davies, P Amadori, N Ling, ... Royal Society Open Science 11 (1), 221620, 2024 | 7 | 2024 |
| Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach HJ Davies, DP Mandic Biomedical Signal Processing and Control 85, 104992, 2023 | 7 | 2023 |
| The Deep-Match Framework: R-Peak Detection in Ear-ECG HJ Davies, G Hammour, M Zylinski, A Nassibi, L Stanković, DP Mandic IEEE Transactions on Biomedical Engineering, 2024 | 6* | 2024 |
| Scalable automatic sleep staging in the era of big data T Nakamura, HJ Davies, DP Mandic 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 6 | 2019 |
| Hearables: Ear EEG Based Driver Fatigue Detection MC Yarici, P Amadori, H Davies, T Nakamura, N Lingg, Y Demiris, ... arXiv preprint arXiv:2301.06406, 2023 | 4 | 2023 |
| Hearables: In-ear multimodal brain computer interfacing MC Yarici, HJ Davies, T Nakamura, I Williams, DP Mandic Brain-Computer Interface Research: A State-of-the-Art Summary 9, 79-87, 2021 | 4 | 2021 |
| Reducing racial bias in SpO2 estimation: The effects of skin pigmentation M Bermond, HJ Davies, E Occhipinti, A Nassibi, DP Mandic 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 2 | 2023 |
| Physically Meaningful Surrogate Data for COPD HJ Davies, G Hammour, H Xiao, P Bachtiger, A Larionov, PL Molyneaux, ... IEEE Open Journal of Engineering in Medicine and Biology, 2024 | 1* | 2024 |
| Feasibility of Transfer Learning from Finger PPG to In-Ear PPG HJ Davies, M Zylinski, M Bermond, Z Liu, M Khaleghimeybodi, DP Mandic 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Amplitude-independent machine learning for PPG through visibility graphs and transfer learning Y Miao, HJ Davies, DP Mandic arXiv preprint arXiv:2305.14062, 2023 | 1 | 2023 |
| From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People G Hammour, H Davies, G Atzori, C della Monica, KKG Ravindran, ... IEEE Journal of Translational Engineering in Health and Medicine, 2024 | | 2024 |
| Segmented Error Minimisation (Semi) for Robust Training of Deep Learning Models with Non-Linear Shifts in Reference Data HJ Davies, Y Miao, A Nassibi, M Khaleghimeybodi, DP Mandic ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Hearables: In-Ear Multimodal Data Fusion for Robust Heart Rate Estimation M Żyliński, A Nassibi, E Occhipinti, A Malik, M Bermond, HJ Davies, ... BioMedInformatics 4 (2), 911-920, 2024 | | 2024 |
Danilo MandicProf. of Machine Intelligence, Dept of Electrical and Electronic Eng., Imperial College London, UKVerified email at imperial.ac.uk
