Abdulnasir Hossen
Abdulnasir Hossen
Professor of Signal Processing, Sultan Qaboos University
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
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
Fully adaptive evaluation of sub-band DFT
AN Hossen, U Heute
1993 IEEE International Symposium on Circuits and Systems, 655-658, 1993
Subband DFT—Part I: Definition, interpretation and extensions
OV Shentov, SK Mitra, U Heute, AN Hossen
Signal Processing 41 (3), 261-277, 1995
Power spectral density estimation via wavelet decomposition
A Hossen
Electronics Letters 40 (17), 1055-1056, 2004
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
Subband DFT—Part II: Accuracy, complexity and applications
AN Hossen, U Heute, OV Shentov, SK Mitra
Signal Processing 41 (3), 279-294, 1995
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
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
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
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
Review on energy application using blockchain technology with an introductions in the pricing infrastructure
T Al-Abri, A Onen, R Al-Abri, A Hossen, A Al-Hinai, J Jung, TS Ustun
IEEE Access 10, 80119-80137, 2022
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
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
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
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
Text-independent speaker identification system based on the histogram of DCT-cepstrum coefficients
S Al-Rawahy, A Hossen, U Heute
International Journal of Knowledge-based and Intelligent Engineering Systems …, 2012
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