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Abdulnasir Hossen
Abdulnasir Hossen
Professor of Signal Processing, Sultan Qaboos University
Verified email at squ.edu.om
Title
Cited by
Cited by
Year
Discrimination of Parkinsonian tremor from essential tremor by implementation of a wavelet-based soft-decision technique on EMG and accelerometer signals
A Hossen, M Muthuraman, J Raethjen, G Deuschl, U Heute
Biomedical Signal Processing and Control 5 (3), 181-188, 2010
692010
A new diagnostic test to distinguish tremulous Parkinson's disease from advanced essential tremor
M Muthuraman, A Hossen, U Heute, G Deuschl, J Raethjen
Movement Disorders 26 (8), 1548-1552, 2011
622011
Discrimination of Parkinsonian tremor from essential tremor using statistical signal characterization of the spectrum of accelerometer signal
A Hossen, M Muthuraman, Z Al-Hakim, J Raethjen, G Deuschl, U Heute
Bio-medical materials and engineering 23 (6), 513-531, 2013
442013
Classification of modulation signals using statistical signal characterization and artificial neural networks
A Hossen, F Al-Wadahi, JA Jervase
Engineering Applications of Artificial Intelligence 20 (4), 463-472, 2007
412007
Subband decomposition soft-decision algorithm for heart rate variability analysis in patients with obstructive sleep apnea and normal controls
A Hossen, B Al Ghunaimi, MO Hassan
Signal Processing 85 (1), 95-106, 2005
402005
Fully adaptive evaluation of sub-band DFT
AN Hossen, U Heute
1993 IEEE International Symposium on Circuits and Systems, 655-658, 1993
391993
Subband DFT—Part I: Definition, interpretation and extensions
OV Shentov, SK Mitra, U Heute, AN Hossen
Signal Processing 41 (3), 261-277, 1995
361995
Power spectral density estimation via wavelet decomposition
A Hossen
Electronics Letters 40 (17), 1055-1056, 2004
352004
A wavelet-based soft decision technique for screening of patients with congestive heart failure
A Hossen, B Al-Ghunaimi
Biomedical Signal Processing and Control 2 (2), 135-143, 2007
292007
Subband DFT—Part II: Accuracy, complexity and applications
AN Hossen, U Heute, OV Shentov, SK Mitra
Signal Processing 41 (3), 279-294, 1995
291995
A soft decision algorithm for obstructive sleep apnea patient classification based on fast estimation of wavelet entropy of RRI data
A Hossen
Technology and Health care 13 (3), 151-165, 2005
212005
Subband DFT-interpretation, accuracy, and computational complexity
OV Shentov, AN Hossen, SK Mitra, U Heute
[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals …, 1991
191991
Identification of patients with congestive heart failure using different neural networks approaches
N Elfadil, A Hossen
Technology and Health Care 17 (4), 305-321, 2009
162009
A neural network approach for feature extraction and discrimination between Parkinsonian tremor and essential tremor
A Hossen
Technology and Health Care 21 (4), 345-356, 2013
142013
Deep learning-based approach for atrial fibrillation detection
L Khriji, M Fradi, M Machhout, A Hossen
The Impact of Digital Technologies on Public Health in Developed and …, 2020
122020
Fast approximate DCT: basic-idea, error analysis, applications
A Hossen, U Heute
1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997
121997
Discrimination of physiological tremor from pathological tremor using accelerometer and surface EMG signals
A Hossen, G Deuschl, S Groppa, U Heute, M Muthuraman
Technology and Health Care 28 (5), 461-476, 2020
112020
Support vector machine of wavelet packet spectral features for identification of obstructive sleep apnea
S Al-Ratrout, A Hossen
2018 5th international conference on electrical and electronic engineering …, 2018
112018
Classification of sleep apnea using wavelet-based spectral analysis of heart rate variability
A Hossen, D Jaju, B Al-Ghunaimi, B Al-Faqeer, T Al-Yahyai, MO Hassan, ...
Technology and Health Care 21 (4), 291-303, 2013
112013
Screening of obstructive sleep apnea based on statistical signal characterization of Hilbert transform of RRI data
BA Ghunaimi, A Hossen, MO Hassan
Technology and Health Care 12 (1), 67-78, 2004
112004
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