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Sadaf Iqbal
Sadaf Iqbal
Worked as Research Scholar, Electrical Engineering
Geverifieerd e-mailadres voor newcastle.ac.uk
Titel
Geciteerd door
Geciteerd door
Jaar
Deep learning based photoplethysmography classification for peripheral arterial disease detection: a proof-of-concept study
J Allen, H Liu, S Iqbal, D Zheng, G Stansby
Physiological Measurement, 2021
392021
EEG based classification of imagined vowel sounds
S Iqbal, YU Khan, O Farooq
2015 2nd International Conference on Computing for Sustainable Global …, 2015
232015
Time domain analysis of EEG to classify imagined speech
S Iqbal, PP Muhammed Shanir, YU Khan, O Farooq
Proceedings of the Second International Conference on Computer and …, 2016
182016
Nonlinear analysis of EEG for seizure prediction
S Iqbal, YU Khan, O Farooq
2015 annual IEEE India conference (INDICON), 1-5, 2015
132015
EEG Analysis of Imagined Speech
S Iqbal, MS PP, YU Khan, O Farooq
International Journal of Rough Sets and Data Analysis (IJRSDA) 3 (2), 32-44, 2016
82016
Detecting P300 potential for speller BCI
S Iqbal, BA Rizvi, O Farooq, YU Khan
International Conference on Communication and Signal Processing (ICCSP-17 …, 2018
52018
SEMG signal enhancement using cubical denoising for wrist movement classification
BA Rizvi, O Farooq, S Iqbal, AA Khan
2017 International Conference on Communication and Signal Processing (ICCSP …, 2017
42017
Feature extraction using Pythagorean means for classification of epileptic EEG signals
PPM Shanir, S Iqbal, YU Khan, O Farooq
International Journal of Biomedical Engineering and Technology 28 (3), 243-260, 2018
32018
Deep learning identification of coronary artery disease from bilateral finger photoplethysmography sensing: A proof-of-concept study
S Iqbal, S Agarwal, I Purcell, A Murray, J Bacardit, J Allen
Elsevier: Biomedical Signal Processing and Control 86 (A), 2023
22023
A multi-population FA for automatic facial emotion recognition
K Mistry, B Rizvi, C Rook, S Iqbal, L Zhang, CP Joy
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
22020
'AI'Deep learning detection of vascular disease from photoplethysmography waveforms-new opportunities in vascular optics and analytics for studying the peripheral circulation
J Allen, H Liu, S Iqbal, D Zheng, G Stansby
JOURNAL OF VASCULAR RESEARCH 60 (SUPP 1), 38-39, 2023
2023
Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals
S Iqbal, J Bacardit, B Griffiths, J Allen
Frontiers in Physiology 14, 1242807, 2023
2023
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Artikelen 1–12