| Hearables: Multimodal physiological in-ear sensing V Goverdovsky, W von Rosenberg, T Nakamura, D Looney, DJ Sharp, ... Scientific Reports 7 (1), 6948, 2017 | 162 | 2017 |
| Hearables: Automatic overnight sleep monitoring with standardised in-ear EEG sensor T Nakamura, YD Alqurashi, MJ Morrell, D Mandic IEEE Transactions on Biomedical Engineering, 2019 | 112 | 2019 |
| In-ear EEG biometrics for feasible and readily collectable real-world person authentication T Nakamura, V Goverdovsky, DP Mandic IEEE Transactions on Information Forensics and Security, 2017 | 105 | 2017 |
| Automatic sleep monitoring using ear-EEG T Nakamura, V Goverdovsky, MJ Morrell, DP Mandic IEEE Journal of Translational Engineering in Health and Medicine 5, 2017 | 87 | 2017 |
| Complexity science for sleep stage classification from EEG T Nakamura, T Adjei, Y Alqurashi, D Looney, MJ Morrell, DP Mandic Neural Networks (IJCNN), 2017 International Joint Conference on, 4387-4394, 2017 | 32 | 2017 |
| A novel in-ear sensor to determine sleep latency during the Multiple Sleep Latency Test in healthy adults with and without sleep restriction Y Alqurashi, T Nakamura, V Goverdovsky, M James, M Polkey, D Mandic, ... Nature and Science of Sleep 2018 (10), 385-396, 2018 | 29 | 2018 |
| Automatic detection of drowsiness using in-ear EEG T Nakamura, YD Alqurashi, MJ Morrell, DP Mandic Neural Networks (IJCNN), 2018 International Joint Conference on, 2018 | 25 | 2018 |
| The ClassA Framework: HRV Based Assessment of SNS and PNS Dynamics without LF-HF Controversies T Adjei, W von Rosenberg, DP Mandic Frontiers in Physiology 10, 505, 2019 | 24 | 2019 |
| Classification of auditory steady-state responses to speech data T Nakamura, H Namba, T Matsumoto Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on …, 2013 | 14 | 2013 |
| 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 |
| 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 9, 79, 2021 | 4 | 2021 |
| Classification of auditory steady-state responses incorporating alpha waves H Namba, T Nakamura, T Matsumoto BCI meeting, 2013 | 4 | 2013 |
| The Efficacy of a Novel In-ear Electroencephalography (EEG) Sensor to Measure Overnight Sleep in Healthy Participants Y Alqurashi, T Nakamura, J Moss, MI Polkey, D Mandic, MJ Morrell D99. SRN: A LOOK TO THE FUTURE OF SLEEP. USE OF NOVEL TECHNOLOGIES AND …, 2019 | 3 | 2019 |
| The Efficacy Of In-Ear Electroencephalography (EEG) To Monitor Sleep Latency And The Impact Of Sleep Deprivation Y Alqurashi, J Moss, T Nakamura, V Goverdovsky, M Polkey, D Mandic, ... A80-C. NOVEL DIAGNOSTIC APPROACHES TO SDB, A7596-A7596, 2017 | 1 | 2017 |
| Wearable in-ear electroencephalography for real world applications: sleep monitoring and person authentication T Nakamura Imperial College London, 2019 | | 2019 |
| Improving Information-Transfer Rate of Auditory Steady-State Responses Using Alpha Waves T Nakamura, T Matsumoto, H Namba Transactions of Japanese Society for Medical and Biological Engineering 51 …, 2013 | | 2013 |
Danilo MandicProf. of Machine Intelligence, Dept of Electrical and Electronic Eng., Imperial College London, UKVerified email at imperial.ac.uk
