Ahsan H Khandoker

Summary

Affiliation: University of Melbourne
Country: Australia

Publications

  1. doi request reprint Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Australia
    IEEE Trans Neural Syst Rehabil Eng 15:587-97. 2007
  2. ncbi request reprint QT variability index changes with severity of cardiovascular autonomic neuropathy
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria, Australia
    IEEE Trans Inf Technol Biomed 16:900-6. 2012
  3. doi request reprint Heart rate variability and complexity in people with diabetes associated cardiac autonomic neuropathy
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:4696-9. 2008
  4. doi request reprint Analysis of coherence between sleep EEG and ECG signals during and after obstructive sleep apnea events
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:3876-9. 2008
  5. doi request reprint Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
    Comput Biol Med 39:88-96. 2009
  6. doi request reprint Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Australia
    IEEE Trans Inf Technol Biomed 13:37-48. 2009
  7. doi request reprint Investigating scale invariant dynamics in minimum toe clearance variability of the young and elderly during treadmill walking
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    IEEE Trans Neural Syst Rehabil Eng 16:380-9. 2008
  8. pmc A comparative study on approximate entropy measure and poincaré plot indexes of minimum foot clearance variability in the elderly during walking
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The Universityof Melbourne, VIC 3010, Australia
    J Neuroeng Rehabil 5:4. 2008
  9. ncbi request reprint Wavelet-based multiscale analysis of minimum toe clearance variability in the young and elderly during walking
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2007:1558-61. 2007
  10. ncbi request reprint Regulation of minimum toe clearance variability in the young and elderly during walking on sloped surfaces
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2007:4887-90. 2007

Detail Information

Publications23

  1. doi request reprint Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Australia
    IEEE Trans Neural Syst Rehabil Eng 15:587-97. 2007
    ..These results suggest superior performance of SVM in the detection of balance impairments based on wavelet-based features and it could also be useful for evaluating for falls prevention intervention...
  2. ncbi request reprint QT variability index changes with severity of cardiovascular autonomic neuropathy
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria, Australia
    IEEE Trans Inf Technol Biomed 16:900-6. 2012
    ....
  3. doi request reprint Heart rate variability and complexity in people with diabetes associated cardiac autonomic neuropathy
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:4696-9. 2008
    ..Our results demonstrated the potential utility of nonlinear HRV parameters in identifying asymptomatic CAN...
  4. doi request reprint Analysis of coherence between sleep EEG and ECG signals during and after obstructive sleep apnea events
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:3876-9. 2008
    ..The results could be useful in detecting OSA events or OSA related arousals to characterize sleep fragmentation from ECG and EEG signals...
  5. doi request reprint Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
    Comput Biol Med 39:88-96. 2009
    ..These results, therefore, demonstrate considerable potential in applying SVM in ECG-based screening and can aid sleep specialists in the initial assessment of patients with suspected OSAS...
  6. doi request reprint Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Australia
    IEEE Trans Inf Technol Biomed 13:37-48. 2009
    ..The results demonstrate considerable potential in applying SVMs in an ECG-based screening device that can aid a sleep specialist in the initial assessment of patients with suspected OSAS...
  7. doi request reprint Investigating scale invariant dynamics in minimum toe clearance variability of the young and elderly during treadmill walking
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    IEEE Trans Neural Syst Rehabil Eng 16:380-9. 2008
    ..Further research is required to understand the mechanisms underlying the cause of MTC variability...
  8. pmc A comparative study on approximate entropy measure and poincaré plot indexes of minimum foot clearance variability in the elderly during walking
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The Universityof Melbourne, VIC 3010, Australia
    J Neuroeng Rehabil 5:4. 2008
    ..The main aim is to find MFC variability indexes that well correlate with balance impairments...
  9. ncbi request reprint Wavelet-based multiscale analysis of minimum toe clearance variability in the young and elderly during walking
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2007:1558-61. 2007
    ..Early detection of gait pattern changes due to ageing and balance impairments using wavelet-based multiscale analysis might provide the opportunity to initiate preemptive measures to be undertaken to avoid injurious falls...
  10. ncbi request reprint Regulation of minimum toe clearance variability in the young and elderly during walking on sloped surfaces
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2007:4887-90. 2007
    ..Elderly adults are more prone to tripping risk than younger adults especially while walking on positive slope...
  11. ncbi request reprint Understanding ageing effects by approximate entropy analysis of gait variability
    Chandan K Karmakar
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Vic, Australia
    Conf Proc IEEE Eng Med Biol Soc 2007:1965-8. 2007
    ..These findings have implications of understanding ageing effect on gait variability and the likely risks of tripping falls during gait. Results are also potentially useful for the early diagnosis of common gait pathologies...
  12. doi request reprint Variations in the accuracy of the ECG based detection of obstructive sleep apnoea (OSA) for different numbers of ECG leads and categories of OSA events
    Kris Nilsen
    Electronic and Electrical Engineering Department, The University of Melbourne, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:3492-5. 2008
    ..The optimised two signal ECG model (AUC = 0.878 and CI = 0.864 - 0.893) outperformed the best single ECG model (AUC = 0.843, CI = 0.826 - 0.860), suggesting that improved results can be achieved using an additional ECG lead...
  13. pmc Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis
    Ahsan H Khandoker
    Dept, of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Victoria, Australia
    Biomed Eng Online 8:3. 2009
    ..This study presents the usefulness of heart rate variability (HRV) and complexity analyses from short term ECG recordings as a screening tool for CAN...
  14. doi request reprint Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne 3010, Australia
    Med Eng Phys 33:204-9. 2011
    ..01) different during OSA events. Therefore, we conclude that PRV provides accurate inter-pulse variability to measure heart rate variability under normal breathing in sleep but does not precisely reflect HRV in sleep disordered breathing...
  15. doi request reprint Automated scoring of obstructive sleep apnea and hypopnea events using short-term electrocardiogram recordings
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC 3010, Australia
    IEEE Trans Inf Technol Biomed 13:1057-67. 2009
    ..19, +/- 2.16, and +/- 3.64 events/h for AI, HI, and AHI, respectively. Results indicate the possibility of recognizing apnea/hypopnea events based on shorter segments of ECG signals...
  16. pmc Toe clearance and velocity profiles of young and elderly during walking on sloped surfaces
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Vic, Australia
    J Neuroeng Rehabil 7:18. 2010
    ....
  17. doi request reprint Identification of onset, maximum and termination of obstructive sleep apnoea events in single lead ECG recordings
    Chandan K Karmakar
    Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:1072-5. 2008
    ..OSA-maximum was 0.81 in the frequency range of 52-72 Hz. The ROC area and significant frequency band for Normal vs. Onset and Normal vs. Termination were 0.78, 0.78 and 57-65 Hz, 52-66 Hz respectively...
  18. doi request reprint Association of cardiac autonomic neuropathy with alteration of sympatho-vagal balance through heart rate variability analysis
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Grattan Street, Parkville, Victoria 3010, Australia
    Med Eng Phys 32:161-7. 2010
    ....
  19. pmc Complex correlation measure: a novel descriptor for Poincaré plot
    Chandan K Karmakar
    Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC 3010, Australia
    Biomed Eng Online 8:17. 2009
    ..In this paper, we propose a novel descriptor "Complex Correlation Measure (CCM)" to quantify the temporal aspect of the Poincaré plot. In contrast to SD1 and SD2, the CCM incorporates point-to-point variation of the signal...
  20. doi request reprint Analyzing temporal variability of standard descriptors of Poincaré plots
    Chandan K Karmakar
    ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Vic, Australia
    J Electrocardiol 43:719-24. 2010
    ....
  21. doi request reprint Modeling respiratory movement signals during central and obstructive sleep apnea events using electrocardiogram
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
    Ann Biomed Eng 39:801-11. 2011
    ..Results also indicate that ECG-based SVR model could act as a potential surrogate signal of respiratory movement during sleep-disordered breathing...
  22. pmc Sensitivity of temporal heart rate variability in Poincaré plot to changes in parasympathetic nervous system activity
    Chandan K Karmakar
    Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
    Biomed Eng Online 10:17. 2011
    ..A novel descriptor (Complex Correlation Measure (CCM)) for measuring the variability in the temporal structure of Poincaré plot has been developed to characterize or distinguish between Poincaré plots with similar shapes...
  23. doi request reprint Antepartum non-invasive evaluation of opening and closing timings of the cardiac valves in fetal cardiac cycle
    Ahsan H Khandoker
    Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Melbourne, Vic, 3010, Australia
    Med Biol Eng Comput 47:1075-82. 2009
    ..7 +/- 9.4 and 294.6 +/- 21.3 ms, respectively. Correlations among the timings in opening and closing of cardiac valves were found to be higher in abnormal fetuses than that in normal ones...