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A novel approach for acoustic estimation of neck fluid volume between men and women

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Abstract

Obstructive Sleep apnea can be caused by fluid shift from the legs to the neck that narrows the upper airway (UA) and contributes to changes in tracheal sound. Tracheal sound is generated from the turbulent airflow in the pharynx and respiratory airways and it has recently been used to estimate increases in neck fluid volume (NFV). However, tracheal sound is also highly variable among people, especially across the sexes. In this paper, a novel method is proposed to select tracheal sound features towards estimating NFV in men and women separately. To validate this method, it was applied to the tracheal sound data of 28 healthy individuals. Our proposed feature selection algorithm is based on sparse representations and incorporates NFV to maximize the relevance of selected features. This feature selection eliminates the dependence of the previous methods on calibrating the model for every individual. Two models, regression and Kalman filters, are then used to estimate NFV from selected features. Kalman filter obtains the highest performance, estimating NFV with more than 90% accuracy in both men and women. This algorithm can be used to develop non-invasive acoustic technologies to investigate the effects of fluid on UA anatomy in general applications. These results could be used to develop convenient devices to monitor the neck edema and its contribution to sleep apnea severity in fluid retaining patients such as heart or renal failure.

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Abbreviations

AHI:

Apnea-hypopnea index

ANOVA:

Analysis of variance

BMI:

Body mass index, kg/m2

MFCC:

Mel-frequency cepstral coefficients

NC:

Neck circumference

NFV:

Neck fluid volume

OSA:

Obstructive sleep apnea

RPDE:

Recurrence period density entropy

UA:

Upper airway

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Acknowledgements

This project was supported by Canadian Institutes of Health Research (CIHR) operating grant MOP-82731, and the CIHR Training Grant in Sleep and Biological Rhythms. M. Shokrollahi is funded through Mitacs Elevate and AGE-WELL fellowships. Frank Rudzicz’s contribution to this work is funded by an NSERC Discovery grant (RGPIN 435874), a Young Investigator award by the Alzheimer Society of Canada, and a grant from the AGE-WELL National Centers of Excellence (WP2.3). D. Vena by Mitacs Ph.D. fellowship. T.D. Bradley is funded by the Clifford Nordal Chair in Sleep Apnea and Rehabilitation Research and the Godfrey S. Pettit Chair in Respiratory Medicine.

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Authors and Affiliations

  1. Toronto Rehabilitation Institute, University Health Network, Toronto, Canada

    Mehrnaz Shokrollahi, Frank Rudzicz, Daniel Vena, T. Douglas Bradley & Azadeh Yadollahi

  2. Department of Computer Science, University of Toronto, Toronto, Canada

    Mehrnaz Shokrollahi & Frank Rudzicz

  3. Institute of Biomaterials and Biomedical Engineering, University of Toronto, Room 12-106, 550 University Ave., Toronto, ON, M5G 2A2, Canada

    Daniel Vena & Azadeh Yadollahi

  4. Centre for Sleep Medicine and Circadian Biology, University of Toronto, Toronto, Canada

    T. Douglas Bradley

Authors
  1. Mehrnaz Shokrollahi
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  2. Frank Rudzicz
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  3. Daniel Vena
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  4. T. Douglas Bradley
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  5. Azadeh Yadollahi
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Correspondence to Azadeh Yadollahi.

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Shokrollahi, M., Rudzicz, F., Vena, D. et al. A novel approach for acoustic estimation of neck fluid volume between men and women. Med Biol Eng Comput 56, 113–123 (2018). https://doi.org/10.1007/s11517-017-1675-1

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  • DOI: https://doi.org/10.1007/s11517-017-1675-1

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