Research output

Research output per year 1991 2004 2011 2013 2022

• 38 Article
• 10 Conference contribution
• 2 Chapter
• 2 Conference article
• 1 More
  • 1 Paper

Research output per year

Research output per year

Search results

• 2022

  Discrimination between parkinsonian tremor and essential tremor using artificial neural network with hybrid features

  Hossen, A., 2022, In: Technology and Health Care. 30, 3, p. 691-702 12 p.

  Research output: Contribution to journal › Article › peer-review

• Investigation of heart rate variability of patients undergoing coronary artery bypass grafting using the statistical signal characterization method

  Hossen, A., 2022, In: Technology and Health Care. 30, 3, p. 579-590 12 p.

  Research output: Contribution to journal › Article › peer-review

• Machine learning aided classification of tremor in multiple sclerosis

  Hossen, A., Anwar, A. R., Koirala, N., Ding, H., Budker, D., Wickenbrock, A., Heute, U., Deuschl, G., Groppa, S. & Muthuraman, M., Aug 2022, In: EBioMedicine. 82, 104152.

  Research output: Contribution to journal › Article › peer-review

  Open Access
• 2021

  Automatic heart disease class detection using convolutional neural network architecture-based various optimizers-networks

  Fradi, M., Khriji, L., Machhout, M. & Hossen, A., Mar 2021, In: IET Smart Cities. 3, 1, p. 3-15 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Wavelet analysis for early identification of HRV changes in offspring with genetic predisposition to hypertension in Oman

  Hossen, A., Khriji, L., Al Ghunaimi, B., Al Barwani, S. & Jaju, D., 2021, In: Technology and Health Care. 29, 5, p. 869-879 11 p.

  Research output: Contribution to journal › Article › peer-review
• 2020

  Discrimination of physiological tremor from pathological tremor using accelerometer and surface EMG signals

  Hossen, A., Deuschl, G., Groppa, S., Heute, U. & Muthuraman, M., 2020, In: Technology and Health Care. 28, 5, p. 461-476 16 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Identification of obstructive sleep apnea using artificial neural networks and wavelet packet decomposition of the HRV signal

  Ali, S. Q. & Hossen, A., 2020, In: Journal of Engineering Research. 17, 1, p. 24-33 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)
• 2019

  A new simple efficient classification technique for severity of sleep apnea with mathematical model and interpretation

  Hossen, A., 2019, In: Technology and Health Care. 27, 4, p. 389-406 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Sleep Apnea Syndromes 100%
  • Sleep 97%
  • Apnea 96%
  • Theoretical Models 74%
  • Mathematical models 63%
  1 Citation (Scopus)
• 2018

  Cardio-autonomic functions and sleep indices before and after coronary artery bypass surgery

  Al-Hashmi, K. M., Al-Abri, M., Jaju, D., Mukaddirov, M., Hossen, A., Hassan, M., Mesbah, M. & Al-Sabti, H., Jan 1 2018, In: Annals of Thoracic Medicine. 13, 1, p. 14-21 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Coronary Artery Bypass 100%
  • Sleep 82%
  • Obstructive Sleep Apnea 30%
  • Myocardial Ischemia 26%
  • Hemodynamics 22%
  1 Citation (Scopus)
• 2017

  Identification of patients with preeclampsia from normal subjects using wavelet-based spectral analysis of heart rate variability

  Hossen, A., Barhoum, A., Jaju, D., Gowri, V., Al-Hashmi, K., Hassan, M. O. & Al-Kharusi, L., 2017, In: Technology and Health Care. 25, 4, p. 641-649 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Spectrum analysis 100%
  • Pre-Eclampsia 97%
  • Fast Fourier transforms 92%
  • Sultan 78%
  • Heart Rate 71%
  3 Citations (Scopus)

• Investigation of heart rate variability of patients undergoing coronary artery bypass grafting (CABG)

  Hossen, A., Jaju, D., Al-Abri, M., Al-Sabti, H., Mukaddirov, M., Hassan, M. & Al-Hashmi, K., 2017, In: Technology and Health Care. 25, 2, p. 197-210 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Coronary Artery Bypass 100%
  • Heart Rate 76%
  • Power spectral density 34%
  • Sultan 23%
  • Spectrum analysis 15%
  3 Citations (Scopus)
• 2014

  Discrimination of Parkinsonian tremor from essential tremor by voting between different EMG signal processing techniques

  Hossen, A., Al-Hakim, Z., Muthuraman, M., Raethjen, J., Deuschl, G. & Heute, U., 2014, In: Journal of Engineering Research. 11, 1, p. 11-22 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Electromyography 100%
  • Signal processing 65%
  • Dopamine 62%
  • Neurodegenerative diseases 30%
  • Accelerometers 19%
• 2013

  A neural network approach for feature extraction and discrimination between Parkinsonian tremor and essential tremor

  Hossen, A., 2013, In: Technology and Health Care. 21, 4, p. 345-356 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Essential Tremor 100%
  • Tremor 79%
  • Feature extraction 57%
  • Parkinson Disease 46%
  • Neural networks 44%
  9 Citations (Scopus)

• A novel extension of the SB-FFT: Sub-segment inverse fast Fourier transform (SS-IFFT) with different applications

  Hossen, A. & Heute, U., 2013, In: Journal of Computational Methods in Sciences and Engineering. 13, 3-4, p. 361-375 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Fast Fourier transform 100%
  • Fast Fourier transforms 81%
  • Speech Analysis 25%
  • Filter 25%
  • FIR Filter 21%
  1 Citation (Scopus)

• Classification of sleep apnea using wavelet-based spectral analysis of heart rate variability

  Hossen, A., Jaju, D., Al-Ghunaimi, B., Al-Faqeer, B., Al-Yahyai, T., Hassan, M. O. & Al-Abri, M., 2013, In: Technology and Health Care. 21, 4, p. 291-303 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Sleep Apnea Syndromes 100%
  • Sleep 97%
  • Spectrum analysis 94%
  • Heart Rate 66%
  • Apnea 57%
  6 Citations (Scopus)

• Discrimination of Parkinsonian tremor from essential tremor using statistical signal characterization of the spectrum of accelerometer signal

  Hossen, A., Muthuraman, M., Al-Hakim, Z., Raethjen, J., Deuschl, G. & Heute, U., 2013, In: Bio-Medical Materials and Engineering. 23, 6, p. 513-531 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Accelerometers 100%
  • Neurology 62%
  31 Citations (Scopus)

• Identification of sleep stages from heart rate variability using a soft-decision wavelet-based technique

  Hossen, A., Özer, H. & Heute, U., Jan 2013, In: Digital Signal Processing: A Review Journal. 23, 1, p. 218-229 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Heart Rate Variability 100%
  • Wavelets 93%
  • Sleep 88%
  • Spectral Density 45%
  • Power Spectral Density 39%
  3 Citations (Scopus)

• Investigation of the high frequency band of heart rate variability: Identification of preeclamptic pregnancy from normal pregnancy in Oman

  Hossen, A., Jaju, D., Barhoum, A., Gowri, V., Hamdi, I., Hassan, M. O. & Al-Kharusi, L., Jun 2013, In: Asian Biomedicine. 7, 3, p. 339-346 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Oman 100%
  • Frequency bands 60%
  • Heart Rate 49%
  • Spectrum analysis 42%
  • Pregnancy 41%
  2 Citations (Scopus)
• 2012

  Text-independent speaker identification system based on the histogram of DCT-cepstrum coefficients

  Al-Rawahy, S., Hossen, A. & Heute, U., 2012, In: International Journal of Knowledge-Based and Intelligent Engineering Systems. 16, 3, p. 141-161 21 p.

  Research output: Contribution to journal › Article › peer-review

  • Identification (control systems) 100%
  6 Citations (Scopus)
• 2011

  A new diagnostic test to distinguish tremulous Parkinson's disease from advanced essential tremor

  Muthuraman, M., Hossen, A., Heute, U., Deuschl, G. & Raethjen, J., Jul 2011, In: Movement Disorders. 26, 8, p. 1548-1552 5 p.

  Research output: Contribution to journal › Article › peer-review

  • Essential Tremor 100%
  • Routine Diagnostic Tests 70%
  • Parkinson Disease 62%
  • Tremor 39%
  • fluorodopa F 18 20%
  40 Citations (Scopus)

• Different zoom approaches for improving spectral resolution with applications in radar signal processing

  Hossen, A. & Heute, U., 2011, In: Journal of Engineering Research. 8, 1, p. 1-11 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Spectral resolution 100%
  • Radar signal processing 99%
  • Fast Fourier transforms 65%
  • Time measurement 10%
  • Mathematical transformations 10%
  1 Citation (Scopus)
• 2010

  Discrimination of parkinsonian tremor from essential tremor by implementation of a wavelet-based soft-decision technique on emg and accelerometer signals

  Hossen, A., Muthuraman, M., Raethjen, J., Deuschl, G. & Heute, U., Jul 2010, In: Biomedical Signal Processing and Control. 5, 3, p. 181-188 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Essential Tremor 100%
  • Tremor 79%
  • Accelerometers 70%
  • Wavelet decomposition 45%
  • Neurology 43%
  39 Citations (Scopus)
• 2009

  A Pattern Recognition Technique Based on Wavelet Decomposition for Identification of Patients With Congestive Heart Failure

  Hossen, A. & Al-Ghunaimi, B., 2009, In: Journal of Engineering Research. 6, 2, p. 40-46 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Identification of patients with congestive heart failure using different neural networks approaches

  Elfadil, N. & Hossen, A., 2009, In: Technology and Health Care. 17, 4, p. 305-321 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Datasets 100%
  • Heart Failure 90%
  • Neural networks 74%
  • Spectral density 41%
  • Machine Learning 24%
  9 Citations (Scopus)
• 2007

  A wavelet-based soft decision technique for screening of patients with congestive heart failure

  Hossen, A. & Al-Ghunaimi, B., Apr 2007, In: Biomedical Signal Processing and Control. 2, 2, p. 135-143 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Screening 100%
  • Heart Failure 78%
  • Fast Fourier transforms 61%
  • Frequency bands 38%
  • Wavelet decomposition 26%
  28 Citations (Scopus)

• Classification of modulation signals using statistical signal characterization and artificial neural networks

  Hossen, A., Al-Wadahi, F. & Jervase, J. A., Jun 2007, In: Engineering Applications of Artificial Intelligence. 20, 4, p. 463-472 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Modulation 100%
  • Neural networks 78%
  • Signal to noise ratio 53%
  23 Citations (Scopus)
• 2006

  Statistical signal characterization for congestive heart failure patient's classification

  Al Ghunaimi, B., Hossen, A. & Hassan, M. O., 2006, In: Technology and Health Care. 14, 1, p. 29-45 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Heart Failure 100%
  • ROC Curve 59%
  • Time domain analysis 56%
  • Heart 43%
  • Screening 42%
  3 Citations (Scopus)
• 2005

  A soft decision algorithm for obstructive sleep apnea patient classification based on fast estimation of wavelet entropy of RRI data

  Hossen, A., 2005, In: Technology and Health Care. 13, 3, p. 151-165 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Entropy 100%
  • Sleep 87%
  • Obstructive Sleep Apnea 85%
  • Frequency bands 29%
  • ROC Curve 14%
  17 Citations (Scopus)

• Subband decomposition soft-decision algorithm for heart rate variability analysis in patients with obstructive sleep apnea and normal controls

  Hossen, A., Ghunaimi, B. A. & Hassan, M. O., Jan 2005, In: Signal Processing. 85, 1, p. 95-106 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Sleep 100%
  • Screening 87%
  • Decomposition 68%
  • Power spectral density 35%
  • Frequency bands 27%
  33 Citations (Scopus)
• 2004

  Parametric modelling of decomposed subbands: Resolution improvement and applications for narrow-band signals

  Hossen, A. & Heute, U., Nov 2004, In: Signal Processing. 84, 11 SPEC. ISS., p. 2195-2206 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Spectral resolution 100%
  • Spectrum analysis 70%
  • Decomposition 49%
  4 Citations (Scopus)

• Power spectral density estimation via wavelet decomposition

  Hossen, A., Aug 19 2004, In: Electronics Letters. 40, 17, p. 1055-1056 2 p.

  Research output: Contribution to journal › Article › peer-review

  • Wavelet decomposition 100%
  • Power spectral density 93%
  • Frequency bands 24%
  31 Citations (Scopus)

• Screening of obstructive sleep apnea based on statistical signal characterization of Hilbert transform of RRI data

  Al Ghunaimi, B., Hossen, A. & Hassan, M. O., 2004, In: Technology and Health Care. 12, 1, p. 67-78 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Sultan 100%
  • Sleep 66%
  • Obstructive Sleep Apnea 64%
  • Screening 58%
  • ROC Curve 27%
  9 Citations (Scopus)

• Two-dimensional subband transforms: Theory and applications

  Hossen, A. & Heute, U., Oct 2004, In: IEE Proceedings: Vision, Image and Signal Processing. 151, 5, p. 389-399 11 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)
• 2003

  Arithmetic errors in the sub-band FFT: Derivation of error equations and simulation results

  Hossen, A., Heute, U. & Seraji, G., Feb 2003, In: Signal Processing. 83, 2, p. 413-429 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Fast Fourier transforms 100%
  • Discrete Fourier transforms 22%
  • Fixed point arithmetic 15%
  • Signal flow graphs 15%

• Different approximate cepstra using subband-transforms: Theory and applications

  Hossen, A. & Heute, U., 2003, In: AEU - International Journal of Electronics and Communications. 57, 4, p. 247-254 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Discrete Fourier transforms 100%
  • Mathematical transformations 96%
  • Computational complexity 21%
  • Frequency bands 16%
  • Signal processing 14%
  1 Citation (Scopus)
• 1996

  Using the subband-dft in speech cepstrum analysis and echo detection

  Hossen, A. & Heute, U., 1996, In: ITG-Fachbericht. 139, p. 125-128 4 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)
• 1995

  Subband DFT - Part I: Definition, interpretation and extensions

  Shentov, O. V., Mitra, S. K., Heute, U. & Hossen, A. N., Feb 1995, In: Signal Processing. 41, 3, p. 261-277 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Discrete Fourier transforms 100%
  • Filter banks 28%
  • Hadamard transforms 18%
  • Fast Fourier transforms 12%
  • Decomposition 9%
  20 Citations (Scopus)

• Subband DFT - Part II: Accuracy, complexity and applications

  Hossen, A. N., Heute, U., Shentov, O. V. & Mitra, S. K., Feb 1995, In: Signal Processing. 41, 3, p. 279-294 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Discrete Fourier transforms 100%
  • Computational complexity 36%
  • Hadamard transforms 32%
  • Filter banks 25%
  • Time measurement 25%
  15 Citations (Scopus)