Archives: ExpVitals

Sunday, September 22, 2024

Elhajjar, Diane “A Confidence Framework for Heart Rate Estimation in Video Magnification.” MASc diss., Carleton University, 2023.

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Saturday, August 31, 2024

Stewart, Matthew, Caitlin Higginson, Julien Lariviere-Chartier, Elliott Lee, James Green, Rafik Goubran, Frank Knoefel, and Rebecca Robillard. “Classification of Central and Obstructive Sleep Apnea Using Respiratory Inductance Plethysmography and Convolutional Neural Networks.” In 2024 IEEE Sensors Applications Symposium (SAS), pp. 1-6. IEEE, 2024.

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Friday, March 1, 2024

Saiful Huq, “Differentiation of Dry and Wet Cough Sounds using A Deep Learning Model and Data Augmentation”, M.A.Sc. Thesis Carleton University, 2023.

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Sunday, February 25, 2024

Brady Laska, Julio J. Valdés, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel, “Cough Sound Analysis using Vocal Tract Models” 2024 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2024

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Sunday, December 31, 2023

D. Elhajjar, B. Wallace, A. Law, R. Goubran, F. Knoefel, “Machine Learning Assessment of Heart Rate Confidence from Video Magnification “, 23rd IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2023

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Saturday, October 14, 2023

R. Goubran, F. Knoefel, B. Wallace, N. Thomas, C. Herdman K. van Benthem, H. Sveistrup, K. Fraser, M. Kunz, P. Xi, A. Law, J. Keillor, “AGE-WELL SAM3 collaborative projects with NRC Aging-in-Place program”, AGE-WELL AGM, 2023.

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Friday, October 6, 2023

SAM3 Book “Supportive Smart Homes: Their Role in Aging in Place” now available

Supportive Smart Homes: Their Role in Aging in Place By: Frank Knoefel, Bruce Wallace, Neil Thomas, Heidi Sveistrup, Rafik Goubran, Christine L. Laurin Our book is now available for purchase as an ebook or hardcover. Significant health-industry human resource needs increase the reliance on family and friends to support older adults hoping to age... More

Friday, August 25, 2023

S. Huq, P. Xi, R. Goubran, J. J. Valdés, F. Knoefel and J. R. Green, “Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification,” 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jeju, Korea, Republic of, 2023, pp. 1-6.

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Wednesday, June 7, 2023

Elhajjar, D., Wallace, B., Law, A., Goubran, R. Knoefel, F., “A Confidence Framework through Temporal Averaging for Heart Rate Estimation in Video Magnification” 2023 IEEE Sensors Applications Symposium (SAS), 2023.

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Wednesday, June 7, 2023

A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, J. Goheen, F. Knoefel, S. Marshall, “Assessing Driver Task Engagement Through Machine Learning Classification of Physiological Response” 2023 IEEE Sensors Applications Symposium (SAS), 2023.

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Tuesday, March 21, 2023

A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, J. Goheen, F. Knoefel, S. Marshall, “Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures”, 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2023.

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Friday, February 24, 2023

D. Elhajjar, B. Wallace, A. Law, R. Goubran, F. Knoefel, “Assessing Confidence in Video Magnification Heart Rate Measurement using Multiple ROIs”, 2023 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2023.

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