| 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 | 70 | 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 | 63 | 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 | 45 | 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 | 42 | 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 | 40 | 2005 |
| Fully adaptive evaluation of sub-band DFT AN Hossen, U Heute 1993 IEEE International Symposium on Circuits and Systems, 655-658, 1993 | 38 | 1993 |
| Subband DFT—Part I: Definition, interpretation and extensions OV Shentov, SK Mitra, U Heute, AN Hossen Signal Processing 41 (3), 261-277, 1995 | 37 | 1995 |
| Power spectral density estimation via wavelet decomposition A Hossen Electronics Letters 40 (17), 1055-1056, 2004 | 35 | 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 | 29 | 2007 |
| Subband DFT—Part II: Accuracy, complexity and applications AN Hossen, U Heute, OV Shentov, SK Mitra Signal Processing 41 (3), 279-294, 1995 | 29 | 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 | 21 | 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 | 18 | 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 | 16 | 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 | 15 | 2013 |
| 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 | 13 | 2020 |
| 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 | 12 | 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 | 12 | 2018 |
| 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 | 11 | 2022 |
| 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 | 11 | 2004 |
| Fast approximate DCT: basic-idea, error analysis, applications A Hossen, U Heute 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 11 | 1997 |
Prof.Dr.-Ing.Muthuraman MuthuramanAssociate Professor, Chair of Informatics for Medical TechnologyCorreu electrònic verificat a uni-a.de
