Dr. Nasim Montazeri is an Assistant Professor in the Department of Electrical and Computer Engineering. Before joining Queen's, she was a postdoctoral fellow at the Sunnybrook Research Institute and University Health Network. She received a double PhD degree in signal processing and biomedical engineering from the University of Rennes 1 in France and Sharif University of Technology in Iran. Dr. Montazeri holds BSc degrees in biomedical and control engineering and a MSc degree in biomedical engineering. Dr. Montazeri was a woman entrepreneur and the co-founder of the BioSenseTex, a start-up company with expertise in developing innovative medical textile-based wearables. Dr. Montazeri was the recipient of several entrepreneurship awards, such as "Borealis AI/RBC" for her innovative research on analyzing respiratory system using acoustics and the Entrepreneurship for Cardiovascular Health Opportunities, ECHO" award for developing a textile-based sensor to measure lung edema in heart failure. To date her research has led to more than 40 journal article publications, conference presentations, abstracts and invited talks in major scientific venues such as American Thoracic Society (ATS), European Respiratory Society (ERS), World Sleep Congress, IEEE-EMBS, IEEE-ISSPIT, and Canadian Consortium on Neurodegeneration in Aging (CCNA). Her research interests include the development of medical wearables that promote remote health monitoring, the analysis of health data, and the use of artificial intelligence in healthcare—more specifically in sleep.
Refereed Journal Articles
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18. |
N. Montazeri, D. Balmer-Minnes, B. Taghibeyglou, B. Moineau, G. Chaves, M. Alizadeh-Meghrazi, B. Cifra, A. Jeewa, A. Yadollahi , “ Textile-based Wearable to Monitor Heart Activity in Pediatric Population: a Pilot study”, Canadian Journal of Cardiology - Pediatric and Congenital Heart Disease, 2023. |
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17. |
J. Lim, H. Alshaer, N. Montazeri, T. D. Bradley,” Relationship between Airflow Limitation in Response to Upper Airway Negative Pressure During Wakefulness: An Index of Obstructive Sleep Apnea Severity”, Sleep and Breathing, pp.1-9, 2023. |
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16. |
N. Montazeri, C. Aguiar, R. Hummel, X. Cao, J. Yu, T. D. Bradley, “Sleep apnea diagnosis using Tracheal motions and sounds”. Nature and Science of Sleep, 423-432, 2023. |
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15. |
N. Montazeri, W. Fan, C. Aguiar, J. Yu, T. D. Bradley, “Respiratory Airflow and Motion Estimation during Sleep using Tracheal Sounds and Movement”, Nature and Science of Sleep, 14, p.1213, 2022. |
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14. |
X. Cao, C. Francisco, T. D. Bradley, N. Montazeri, S. Tarlo, M. Stanbrook, K. Chapman, M. Inman, A. Yadollahi “Association of Obstructive Apnea with Thoracic Fluid Shift and Small Airways Narrowing in Asthma During Sleep”, Nature and Science of Sleep,14:891-899, 2022. |
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13. |
N. Montazeri, S. Saha, K. Zhu, B. Gavrilovic, A. Yadollahi, “Sleep Apnea Severity based on Estimated Tidal Volume and Extracted Snoring from Tracheal Signals”, Sleep Research, 31(2), e13490, 2022. |
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12. |
S. Akbarian, N. Montazeri, A. Yadollahi, B. Taati, “Non-contact Sleep Monitoring in Infrared Video Data: Estimating Sleep Apnea Severity and Distinguishing Positional vs. Non-positional Sleep Apnea”, Journal of Medical Internet Research, 23(11): e26524, 2021. |
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11. |
N. Montazeri, M. Kabir, B. Gavrilovic, S. Saha, K. Zhu, B. Taati, H. Alshaer, A. Yadollahi, “Respiratory Signal Estimation using Tracheal Sound and Movements”, Sleep research Journal, e13279, 2021. |
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10. |
A. Sadoughi, M. B. Shamsollahi, E. Fatemizadeh, A. Beuchée, A. I. Hernández, N. Montazeri, “Prediction of Apnea Bradycardia from ECG signals of Preterm Infants using Layered Hidden Markov Model”, Annals of Biomedical Engineering, pp. 1-11, 2021. |
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9. |
N. Montazeri, M. B. Shamsollahi, D. Ge, A. Beuchée, A. I. Hernández, “Coupled Hidden semi-Markov Model based algorithm to Detect Apnea Bradycardia in Preterm Infants using Electrocardiography”, Medical & Biomedical Engineering & Computing, 59(1), pp. 1-11, 2020. |
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8. |
N. Montazeri, S. Akbarian, M. Hafezi, B. Gavrilovic, S. Saha, K. Zhu, B. Taati, A. Yadollahi, “Sleep/wakefulness Detection using Tracheal Sounds and Movements”. Nature and Science of Sleep, 12:1009-1021, 2020. |
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7. |
N. Montazeri, M. Kabir, B. Gavrilovic, S. Saha, K. Zhu, B. Taati, A. Yadollahi, “Breath-phase Identification using respiratory tracheal sound and movement during sleep”, Annals of Biomedical Engineering, pp. 1-13, 2020. |
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6. |
S. Akbarian, N. Montazeri, A. Yadollahi, B. Taati, “Distinguishing Obstructive vs. Central Sleep Apnea Events in Infrared Video”, Journal of Medical Internet Research, 2020. |
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5. |
M. Hafezi, N. Montazeri, S. Saha, K. Zhu, B. Gavrilovic, A. Yadollahi, and B. Taati. “Sleep Apnea Severity Estimation using a Deep Learning Model from Tracheal Movements”, IEEE Access, 8, pp. 22641-22649, 2020. |
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4. |
S. Saha, M. Kabir, N. Montazeri, B. Gavrilovic, K. Zhu, H. Alshaer, A. Yadollahi, “Portable diagnosis of sleep apnea with the validation of individual event detection”, Sleep Medicine, 69C, pp. 51-57, 2020. |
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3. |
M. Akhbari, N. Montazeri, M. B. Shamsollahi, C. Jutten, “ECG Fiducial Point Extraction Using Switching Kalman Filter”, Computer Methods and Programs in Biomedicine, vol 157, pp. 129-136, 2018. |
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2. |
N. Montazeri, S. Masoudi, M. B. Shamsollahi, D. Ge, A. Hernandez, “Coupled Hidden Markov Model based on Conditional Probabilities Definitions”, IEEE journal of biomedical and health informatics, 20.2, pp. 527- 538, 2016. |
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1. |
N. Montazeri, M. B. Shamsollahi, D. Ge, A. Hernandez, “Switching Kalman Filter based methods for apnea bradycardia detection from ECG signals”, Journal of Physiological Measurement, vol. 36, N. 9, page 1763, 2015. |
Conference Proceeding
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9. |
X. Cao, N. Montazeri, B. Taghibeyglou, S. Valaee, J. H. T. Bates, A. Yadollahi, “Modeling Respiratory System Impedance During Supine Position In Asthma” accepted in 44th Annual International Conference of EMBC 2022, Glasgow, Scotland, UK, 2022. |
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8. |
S. Saha, K. Viswanathan, N. Montazeri, A. Yadollahi, “Relationship between Vowel Sound Features and Pharyngeal Airway Cross-Sectional Area during Normal Breathing”, Accepted for Oral Presentation, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBS), Montreal, Canada, 2020. |
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7. |
N. Montazeri, S. Saha, B. Gavrilovic, A Yadollahi, “Removing Snoring Sounds From Tracheal Breathing Sounds Using Iterative Wavelet Filtering”, Accepted for Oral Presentation, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBS), Montreal, Canada, 2020. |
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6. |
Q. Zhang, C. Francisco, M. Kabir, J. Zhang, N. Montazeri, B. Taati, A. Yadollahi, “Noise Removal of Tracheal Sound Recorded During CPET to Determine Respiratory Rate”, 41st Annual International Conference of EMBC, Berlin Germany, 2019. |
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5. |
M. Hafezi, N. Montazeri, K. Zhu, H. Alshaer, A. Yadollahi, B. Taati, “Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning”, 41st Annual International Conference of EMBC, Berlin, Germany, 2019. |
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4. |
F. Nazarimehr, N. Montazeri, M. B. Shamsollahi, A. Kachenoura, and F. Wendung. "Detection Of Fast Ripples Using Hidden Markov Model." In Biomedical Engineering (ICBME), 2014 21th Iranian IEEE Conference, pp. 348-352, 2014. |
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3. |
S. Masoudi, N. Montazeri, M.B. Shamsolahi, A. Hernandez, “Prediction of Apnea- Bradycardia Episodes in Preterm Infants based on Coupled Hidden Markov Model”, Accepted for Oral Presentation at IEEE International Symposium on Signal Processing and Information Technology, Athens, Greece, Dec. 21-23, 2013. |
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2. |
N. Montazeri, M. B. Shamsollahi, A. Hernandez, G. Carrault, “Paroxysmal Atrial Fibrillation prediction using Kalman filter”, 4th International Symposium on Applied Science in Biomedical and Communication Technology (ISABEL), Barcelona, Catalonia, Spain, October 26-29, 2011. |
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1. |
N. Montazeri, M.B. Shamsollahi, S. Hajipour, “MEG Based Classification of Wrist Movement”, Accepted for Oral Presentation at 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota, USA, September 2-6, 2009. |
Abstract Presentations
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13. |
N. Montazeri, W. Fan, C. Aguiar, J. Yu, T. D. Bradley, “Sleep apnea detection using tracheal sounds and motions”. Poster presentation at Sleep Meeting Conference, 2022. |
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12. |
N. Montazeri, W. Fan, C. Aguiar, J. Yu, T. D. Bradley, “Respiratory Airflow and Motion Estimation during Sleep using Tracheal Sounds and Movement”. Poster presentation at American Thoracic Society, 2022. |
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11. |
N. Montazeri, M. Kabir, S. Saha, K. Zhu, B. Gavrilovic, A. Yadollahi, “Estimating Sleep Apnea Severity from Tracheal Signals using Snore Related Features” Accepted for American Thoracic Society, San-Diego, 2021. |
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10. |
N. Montazeri, Q. Zhang, C. Francisco, M. Kabir, S. Kharabian, A. Yadollahi, “Estimation of Peak Oxygen Uptake during Cycle Ergometer Cardiopulmonary Exercise Test using Tracheal Sound” Accepted for American thoracic Society, San-Diego, 2021. |
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9. |
N. Montazeri, M. Kabir, B. Gavrilovic, S. Saha, K. Zhu, B. Taati, A. Yadollahi, “Estimation of Respiratory Signals using Tracheal Sound and Movement” European Respiratory Journal 2019 54: OA3278 (Oral presentation in European Respiratory Society (ERS), Spain, 2019). |
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8. |
N. Montazeri, M. Kabir, B. Gavrilovic, S. Saha, K. Zhu, B. Taati, A. Yadollahi, “Breath-Phase Identification using Respiratory Tracheal Sound and Movement during Sleep” Sleep Medicine, 64, S264-S265 (Poster Presentation in World Sleep Congress, Canada, 2019). |
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7. |
N. Montazeri, S. Akbarian, M. Hafezi, B. Gavrilovic, S. Saha, K. Zhu, B. Taati, A. Yadollahi, “Sleep/Wakefulness Detection using the Tracheal Respiratory Sound and Movements”, Sleep Medicine, 64, S265-S265 (Poster Presentation in World Sleep Congress, Canada, 2019). |
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6. |
S. Saha, M. Kabir, N. Montazeri, B. Gavrilovic, K. Zhu, A. Yadollahi, H. Alshaer, “Apnea-Hypopnea Index (AHI) Estimation using Breathing Sounds, Accelerometer and Pulse Oximeter” ERJ Open Research Apr 2019, 5, P63; DOI: 10.1183/23120541 |
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5. |
M. Hafezi, N. Montazeri, K. Zhu, A. Yadollahi, B. Taati, “Sleep Apnea Diagnosis based on Respiratory Related Movements”, Sleep Medicine, 64, S141-S141, (Oral presentation in World Sleep Congress, Canada, 2019). |
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4. |
S. Saha, G. Gruenspan, M. Kabir, N. Montazeri, M. Hafezi, T. Meisami, A. Yadollahi, “Investigation of the Relationship between Snoring Sounds Features and Response to the Mandibular Advancement Devices”, Sleep Medicine, 64, S331-S331, (Poster presentation in World Sleep Congress, Canada, 2019). |
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3. |
S. Saha, M. Kabir, N. Montazeri, B. Gavrilovic, K. Zhu, H. Alshaer, A. Yadollahi, “Sleep Apnea Diagnosis using Tracheal Respiratory Sounds and Movement”, Sleep Medicine, 64, S331, (Poster presentation in World Sleep Congress, Canada, 2019). |
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2. |
S. Akbarian, K. Zhu, N. Montazeri, G. Delfi, A. Yadollahi, B. Taati, “Non-Contact Detection of Head Posture during Sleep”, Sleep Medicine, 64, S6-S7, (Poster presentation in World Sleep Congress, Canada, 2019). |
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1. |
M. Kabir, N. Montazeri, M. Hafezi, B. Gavrilovic, J. Wong, C. Ryan, F. Chung, A. Yadollahi, “Higher Morphine Administration was Associated with Increased Central Sleep Apnea Episodes and more Severe Hypoxia during Sleep”, Sleep Medicine, 64, S182, (Poster presentation in World Sleep Congress, Canada, 2019). |
Invited Talks
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2. |
N. Montazeri, A. Lim, “Innovative Sleep Monitoring Technologies for Older Adults”, at Canadian Consortium on Neurodegeneration in Aging (CCNA), Oct. 2022. |
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1. |
N. Montazeri, A. Yadollahi, “Tracheal signals analysis for sleep apnea screening”. MiniSymposia Series in Advances in Sleep Bioengineering at 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Oct. 2021. |