Follow
Sadaf Iqbal
Sadaf Iqbal
Worked as Research Scholar, Electrical Engineering
Verified email at newcastle.ac.uk
Title
Cited by
Cited by
Year
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
The system can't perform the operation now. Try again later.
Articles 1–12