Jamie Steane - IEEE Xplore Author Profile

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Author details

Jamie Steane

Publications

2

Citations

9

Publications by Year

20182022

Co-Authors:

Jo BriggsJohn CollomosseDaniel CooperConstantin Cătălin DrăganHelen Jones

Show All Co-Authors (9)

Jamie Steane

Affiliation

School of Design

Northumbria University

Newcastle upon Tyne, UK

Publication Topics

Digital Identity,
Machine Learning,
Normal Behavior,
Real Profiles,
Social Media,
Temporal Coherence,
Video Games,
Word Embedding,
Anomaly Detection,
Bidirectional Long Short-term Memory,
Blockchain,
Cryptographic Primitives

Biography

Jamie Steane is currently an associate professor with the Northumbria School of Design, Newcastle upon Tyne, United Kingdom. His design research lies at the intersection of design, business and digital technology, and commercial development of early interactive products and services for the creative industries, financial, and educational sectors.(Based on document published on 7 May 2020).

Publications

2

Citations

9

Publications by Year

20182022

Co-Authors:

Jo Briggs
John Collomosse
Daniel Cooper
Constantin Cătălin Drăgan
Helen Jones

Show All Co-Authors (9)

Author's Published Works

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Showing 1-3 of 3 results

Conferences (3)

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Kai Keng Ang(3)
Kok Soon Phua(3)
Juanhong Yu(3)
Tao Yang(3)
Valerie Toh(3)
Institute for Infocomm Research, Singapore, SG(2)
National Neuroscience Institute, Singapore, SG(2)
National Neuroscience Institute, Singapore(1)
Neural & Biomedical Technology, Institute for Infocomm Research, Singapore(1)
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)(2)
2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)(1)
IEEE(3)
Honolulu, HI, USA(2)
Chicago, IL, USA(1)
Amyotrophic Lateral Sclerosis(3)
Motor Imagery(3)
Amyotrophic Lateral Sclerosis Patients(2)
Classification Accuracy(2)
Common Spatial Pattern(2)

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Image-based Motor Imagery EEG Classification using Convolutional Neural Network

Tao Yang;Kok Soon Phua;Juanhong Yu;Thevapriya Selvaratnam;Valerie Toh;Wai Hoe Ng;Kai Keng Ang;Rosa Q. So

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

Year: 2019 | Conference Paper |

Cited by: Papers (9)

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Motor Imagery (MI) based Brain Computer Interface (BCI) has clinical applications such as rehabilitation or communication for patients who have lost motor functions. Accurate classification of motor-imagery based electroencephalography (EEG) is important in developing such BCI applications. We propose an image-based approach to design a convolutional neural network (CNN) to classify EEG signals. I...Show More

Image-based Motor Imagery EEG Classification using Convolutional Neural Network

Tao Yang;Kok Soon Phua;Juanhong Yu;Thevapriya Selvaratnam;Valerie Toh;Wai Hoe Ng;Kai Keng Ang;Rosa Q. So

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

Year: 2019 | Conference Paper |

EEG Channel Selection Based on Correlation Coefficient for Motor Imagery Classification: A Study on Healthy Subjects and ALS Patient

Tao Yang;Kai Keng Ang;Kok Soon Phua;Juanhong Yu;Valerie Toh;Wai Hoe Ng;Rosa Q. So

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Year: 2018 | Conference Paper |

Cited by: Papers (6)

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Brain-Computer Interface (BCI) provides an alternate channel of interaction for people with severe motor disabilities. The Common Spatial Pattern (CSP) algorithm is effective in extracting discriminative features from EEG data for motor imagery-based Brain-Computer Interface (BCI). CSP yields signal from various locations for better performance. In this study, we selected a subset of EEG channels ...Show More

EEG Channel Selection Based on Correlation Coefficient for Motor Imagery Classification: A Study on Healthy Subjects and ALS Patient

Tao Yang;Kai Keng Ang;Kok Soon Phua;Juanhong Yu;Valerie Toh;Wai Hoe Ng;Rosa Q. So

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Year: 2018 | Conference Paper |

Increased Theta Oscillations During Motor Imagery in a Subject with Late-stage ALS

Q. Rosa So;Tao Yang;Kok Soon Phua;Juanhong Yu;Valerie Toh;Wai Hoe Ng;Kai Keng Ang

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Year: 2018 | Conference Paper |

Cited by: Papers (1)

HTML

Non-invasive brain computer interface (BCI) has been successfully used to control cursors, helicopters and robotic arms. However, this technology is not widely adopted by people with late-stage amyotrophic lateral sclerosis (ALS) due to poor effectiveness. In this study, we attempt to assess the cognitive state of a completely locked-in ALS subject, and her ability to use motor imagery-based BCI f...Show More

Increased Theta Oscillations During Motor Imagery in a Subject with Late-stage ALS

Q. Rosa So;Tao Yang;Kok Soon Phua;Juanhong Yu;Valerie Toh;Wai Hoe Ng;Kai Keng Ang

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Year: 2018 | Conference Paper |

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