Expertise: Vital Sign Acquisition
SAM3 Expertise Areas: Vital Sign Acquisition
SAM3 researchers have explored a number of methods to measure vital signs within the smart home through passive and non-contact means. These provide an option for the measurement of these vital signs without the need for the use of a device that is worn or directly used by the subject.
Application Areas
- Video Magnification for the assessment of heart rate, respiration rate and blood pressure
- Pressure mats for the assessment of respiration rate and other respiratory conditions including cough.
- Acoustics analysis to assess cough and respiration.
- Applications of vital sign measurement to assess driver attention
IEEE Video Tutorial: 鈥淭he Supportive Smart Home: Solutions Enabling Independence 鈥 Ambient Sensing, Artificial Intelligence in Ethical Context鈥
Smart homes helping older adults live safely and independently
NRC Article on our recent projectOne morning, an older man doesn’t go to the kitchen for breakfast as he usually does. Instead, he’s still sitting …
Bruce Wallace, Phillippe Forster, Rafik Goubran, Heidi Sveistrup, William Jones, Thomas Fletcher 鈥淪mall ECG Device Dry Electrode Lead Analysis to Ensure ECG Signal Quality鈥, AGEWELL AGM, 2025
B. Laska, P. Xi, J. Vald茅s, B. Wallace, J. Green, R. Goubran, F. Knoefel, 鈥淐oughprint: Distilled Cough Representations from Speech Foundation Model Embeddings鈥, in IEEE Transactions on Instrumentation and Measurement, 2025
P. Forster, B. Laska, R. Goubran, B. Wallace, P. Liu, H. Sveistrup, 鈥淢ethod for the Measurement of the Dicrotic Notch in the Photoplethysmogram Signal鈥 at 2025 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2025
Elhajjar, Diane 鈥淎 Confidence Framework for Heart Rate Estimation in Video Magnification.鈥 MASc diss., 杏吧原创 University, 2023.
Link to Thesis
Stewart, Matthew, Caitlin Higginson, Julien Lariviere-Chartier, Elliott Lee, James Green, Rafik Goubran, Frank Knoefel, and Rebecca Robillard. 鈥淐lassification of Central and Obstructive Sleep Apnea Using Respiratory Inductance Plethysmography and Convolutional Neural Networks.鈥 In 2024 IEEE Sensors Applications Symposium (SAS), pp. 1-6. IEEE, 2024.
Link to Paper
Saiful Huq, 鈥淒ifferentiation of Dry and Wet Cough Sounds using A Deep Learning Model and Data Augmentation鈥, M.A.Sc. Thesis 杏吧原创 University, 2023.
Link to Thesis
Brady Laska, Julio J. Vald茅s, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel, 鈥淐ough Sound Analysis using Vocal Tract Models鈥 2024 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2024
Link to Paper
D. Elhajjar, B. Wallace, A. Law, R. Goubran, F. Knoefel, 鈥淢achine Learning Assessment of Heart Rate Confidence from Video Magnification 鈥, 23rd IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2023
Link to Paper
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, 鈥淎GE-WELL SAM3 collaborative projects with NRC Aging-in-Place program鈥, AGE-WELL AGM, 2023.
SAM3 Book 鈥淪upportive Smart Homes: Their Role in Aging in Place鈥 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 …