Azadeh Yadollahi

Summary

Affiliation: University of Manitoba
Country: Canada

Publications

  1. ncbi A robust method for estimating respiratory flow using tracheal sounds entropy
    Azadeh Yadollahi
    Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
    IEEE Trans Biomed Eng 53:662-8. 2006
  2. doi Detailed analysis of the relationship between tracheal breath sounds and airflow in relation to OSA during wake and sleep
    A Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    Conf Proc IEEE Eng Med Biol Soc 2011:6797-800. 2011
  3. doi The effect of anthropometric variations on acoustical flow estimation: proposing a novel approach for flow estimation without the need for individual calibration
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    IEEE Trans Biomed Eng 58:1663-70. 2011
  4. doi Formant analysis of breath and snore sounds
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    Conf Proc IEEE Eng Med Biol Soc 2009:2563-6. 2009
  5. doi On arithmetic misconceptions of spectral analysis of biological signals, in particular respiratory sounds
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6
    Conf Proc IEEE Eng Med Biol Soc 2009:388-91. 2009
  6. doi Acoustic obstructive sleep apnea detection
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6
    Conf Proc IEEE Eng Med Biol Soc 2009:7110-3. 2009
  7. doi Comparison of flow-sound relationship for different features of tracheal sound
    Azadeh Yadollahi
    University of Manitoba, Winnipeg, MB R3T 5V6, Canada
    Conf Proc IEEE Eng Med Biol Soc 2008:805-8. 2008
  8. doi Respiratory sounds compression
    Azadeh Yadollahi
    Department of Electrical, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
    IEEE Trans Biomed Eng 55:1336-43. 2008
  9. ncbi Feature selection for swallowing sounds classification
    Azadeh Yadollahi
    Faculty of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6
    Conf Proc IEEE Eng Med Biol Soc 2007:3172-5. 2007
  10. ncbi Apnea detection by acoustical means
    Azadeh Yadollahi
    Dept of Electr and Comput Eng, Manitoba Univ, Winnipeg, Canada
    Conf Proc IEEE Eng Med Biol Soc 1:4623-6. 2006

Detail Information

Publications17

  1. ncbi A robust method for estimating respiratory flow using tracheal sounds entropy
    Azadeh Yadollahi
    Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
    IEEE Trans Biomed Eng 53:662-8. 2006
    ..The method was tested on data of 10 healthy subjects at five different flow rates. The overall estimation error was found to be 8.3 +/- 2.8% and 9.6 +/- 2.8% for inspiration and expiration phases, respectively...
  2. doi Detailed analysis of the relationship between tracheal breath sounds and airflow in relation to OSA during wake and sleep
    A Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    Conf Proc IEEE Eng Med Biol Soc 2011:6797-800. 2011
    ..The variations in the model parameters can be used to investigate the characteristics of upper airways and examine the factors that can lead to the upper airways obstruction during sleep...
  3. doi The effect of anthropometric variations on acoustical flow estimation: proposing a novel approach for flow estimation without the need for individual calibration
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    IEEE Trans Biomed Eng 58:1663-70. 2011
    ..This technique simplifies the acoustical flow estimation in general applications including sleep studies and patients' screening in health care facilities...
  4. doi Formant analysis of breath and snore sounds
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    Conf Proc IEEE Eng Med Biol Soc 2009:2563-6. 2009
    ..Statistical t-test showed the 1(st) and 3(rd) formants to be the most characteristic features in distinguishing the breath and snore sounds from each other...
  5. doi On arithmetic misconceptions of spectral analysis of biological signals, in particular respiratory sounds
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6
    Conf Proc IEEE Eng Med Biol Soc 2009:388-91. 2009
    ..Also, if the average powers of the signals are calculated in the wrong scale, the results do not represent the acoustical characteristics of the sounds; this is shown by considering the flow-sound relationship at different flow rates...
  6. doi Acoustic obstructive sleep apnea detection
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6
    Conf Proc IEEE Eng Med Biol Soc 2009:7110-3. 2009
    ..The results show high correlation (96%) between our system and PSG. Also, the method has been found to have sensitivity and specificity values of more than 90% in differentiating simple snorers from OSA patients...
  7. doi Comparison of flow-sound relationship for different features of tracheal sound
    Azadeh Yadollahi
    University of Manitoba, Winnipeg, MB R3T 5V6, Canada
    Conf Proc IEEE Eng Med Biol Soc 2008:805-8. 2008
    ..Also, the distance from origin of the linear model using any feature changes linearly with variations of target flow...
  8. doi Respiratory sounds compression
    Azadeh Yadollahi
    Department of Electrical, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
    IEEE Trans Biomed Eng 55:1336-43. 2008
    ..The results indicate that it is possible to use a predefined set of BAMs for all subjects and remove the training part completely. Moreover, the method is fast enough to be implemented for real-time application...
  9. ncbi Feature selection for swallowing sounds classification
    Azadeh Yadollahi
    Faculty of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6
    Conf Proc IEEE Eng Med Biol Soc 2007:3172-5. 2007
    ..It was found that the overall performances of the feature subset extracted from WHL was superior to the results of the feature subsets extracted from IDS or BTS individually...
  10. ncbi Apnea detection by acoustical means
    Azadeh Yadollahi
    Dept of Electr and Comput Eng, Manitoba Univ, Winnipeg, Canada
    Conf Proc IEEE Eng Med Biol Soc 1:4623-6. 2006
    ..207+/-0.062 and 0.289+/-0.258 s, respectively. The results are encouraging for the use of the proposed method as a fast, easy and promising tool for apnea detection...
  11. ncbi Measuring minimum critical flow for normal breath sounds
    Azadeh Yadollahi
    Department of Electrical Engineering, Sharif University of Technology, Iran
    Conf Proc IEEE Eng Med Biol Soc 3:2726-9. 2005
    ..7.. 1.7 ml/s/kg and 2.7 .. 1.7 ml/s/kg for adults and children, respectively. The minimum critical flows for lung sounds were found as 6.2 .. 1.8 ml/s/kg and 4.0 .. 2.9 ml/s/kg for adults and children, respectively...
  12. ncbi Robust respiratory flow estimation using statistical properties of tracheal sounds
    Azadeh Yadollahi
    Department of Electrical Engineering, Sharif University of Technology, Iran Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    Conf Proc IEEE Eng Med Biol Soc 2:1106-9. 2005
    ..The method was tested on data of 10 healthy subjects at three different flow rates above 15 ml/s/kg. The estimation error was found to be 7.3 ± 2.0% and 7.4 ± 3.2% for inspiration and expiration phases, respectively...
  13. ncbi Robust respiratory flow estimation using statistical properties of tracheal sounds
    Azadeh Yadollahi
    Department of Electrical Engineering, Sharif University of Technology, Iran Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    Conf Proc IEEE Eng Med Biol Soc 4:4220-3. 2005
    ..The method was tested on data of 10 healthy subjects at three different flow rates above 15 ml/s/kg. The estimation error was found to be 7.3 ± 2.0% and 7.4 ± 3.2% for inspiration and expiration phases, respectively...
  14. ncbi A robust method for heart sounds localization using lung sounds entropy
    Azadeh Yadollahi
    Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
    IEEE Trans Biomed Eng 53:497-502. 2006
    ..The proposed method is fully automated and detects HS included segments in a completely unsupervised manner...
  15. doi Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
    Med Biol Eng Comput 48:1087-97. 2010
    ..0001) between the outcomes of our system and those of the PSG. Also, the proposed method has been found to have sensitivity and specificity values of more than 91% in differentiating simple snorers from obstructive sleep apnea patients...
  16. ncbi Acoustical respiratory flow. A review of reliable methods for measuring air flow
    Azadeh Yadollahi
    Dept of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada
    IEEE Eng Med Biol Mag 26:56-61. 2007
  17. doi Automatic breath and snore sounds classification from tracheal and ambient sounds recordings
    Azadeh Yadollahi
    Department of Electrical and Computer Engineering, University of Manitoba, Chancelor St, Winnipeg, MB, Canada R3T 5V6 Telecommunication Research Labs TRLabs, Winnipeg, MB, Canada R3T 6A8
    Med Eng Phys 32:985-90. 2010
    ..The classification was also performed on sounds signals recorded simultaneously with an ambient microphone and the results were compared with those of the tracheal recording...