Pub_Madison Archives - SAM3 AGE-WELL National Innovation Hub

Pub_Madison Archives - SAM3 AGE-WELL National Innovation Hub /sam3/category/publications/pub_madison/ �Ӱ�ԭ�� University Fri, 20 Feb 2026 18:14:57 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 M. Cohen-McFarlane, F., Hassan, P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Impact of face covering models on respiratory sound classification applications” 2022 IEEE Sensors Applications Symposium (SAS), 2022. /sam3/2022/c-30m-cohen-mcfarlane-f-hassan-p-xi-b-wallace-r-goubran-f-knoefel-impact-of-face-covering-models-on-respiratory-sound-classification-applications-accepted-for-2022-ieee/ Wed, 03 Aug 2022 20:52:40 +0000 /sam3/?p=1043 Link to Paper

The post M. Cohen-McFarlane, F., Hassan, P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Impact of face covering models on respiratory sound classification applications” 2022 IEEE Sensors Applications Symposium (SAS), 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

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M. Cohen-McFarlane, F., Hassan, P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Impact of face covering models on respiratory sound classification applications” 2022 IEEE Sensors Applications Symposium (SAS), 2022.

August 3, 2022

Pub_NRC_Pandemic

The post M. Cohen-McFarlane, F., Hassan, P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Impact of face covering models on respiratory sound classification applications” 2022 IEEE Sensors Applications Symposium (SAS), 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> K. Habashy, J. Valdes, M. Cohen-McFarlane, F., P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Cough Classification Using Audio Spectrogram Transformer” 2022 IEEE Sensors Applications Symposium (SAS), 2022 /sam3/2022/c-35k-habashy-j-valdes-m-cohen-mcfarlane-f-p-xi-b-wallace-r-goubran-f-knoefel-cough-classification-using-audio-spectrogram-transformer-accepted-for-2022-ieee-sensors/ Wed, 03 Aug 2022 20:49:31 +0000 /sam3/?p=1026 Link to Paper

The post K. Habashy, J. Valdes, M. Cohen-McFarlane, F., P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Cough Classification Using Audio Spectrogram Transformer” 2022 IEEE Sensors Applications Symposium (SAS), 2022 appeared first on SAM3 AGE-WELL National Innovation Hub.

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K. Habashy, J. Valdes, M. Cohen-McFarlane, F., P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Cough Classification Using Audio Spectrogram Transformer” 2022 IEEE Sensors Applications Symposium (SAS), 2022

August 3, 2022

Pub_NRC_Pandemic

The post K. Habashy, J. Valdes, M. Cohen-McFarlane, F., P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Cough Classification Using Audio Spectrogram Transformer” 2022 IEEE Sensors Applications Symposium (SAS), 2022 appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> M. Cohen-McFarlane, B. Wallace, P. Xi, R. Goubran, F. Knoefel, “Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations”, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022. /sam3/2022/c-37m-cohen-mcfarlane-bruce-wallace-pengcheng-xi-rafik-goubran-frank-knoefel-feasibility-analysis-of-the-fusion-of-pressure-sensors-and-audio-measurements-for-respiratory-evaluations/ Wed, 03 Aug 2022 20:48:27 +0000 /sam3/?p=1020 Link to Paper

The post M. Cohen-McFarlane, B. Wallace, P. Xi, R. Goubran, F. Knoefel, “Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations”, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

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M. Cohen-McFarlane, B. Wallace, P. Xi, R. Goubran, F. Knoefel, “Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations”, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022.

August 3, 2022

Pub_NRC_Pandemic

The post M. Cohen-McFarlane, B. Wallace, P. Xi, R. Goubran, F. Knoefel, “Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations”, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> Cohen-McFarlane, M., Xi, P., Wallace, B., Habashy, K., Huq, S., Goubran, R., Knoefel, F., “Evaluation of Respiratory Sounds using Image-based Approaches for Health Measurement Applications”, IEEE Open Journal of Engineering in Medicine and Biology, 2022. /sam3/2022/j-8cohen-mcfarlane-m-xi-p-wallace-b-habashy-k-huq-s-goubran-r-knoefel-f-evaluation-of-respiratory-sounds-using-image-based-approaches-for-health-measurement-applications-acc/ Mon, 01 Aug 2022 13:13:40 +0000 /sam3/?p=763 Link to Paper

The post Cohen-McFarlane, M., Xi, P., Wallace, B., Habashy, K., Huq, S., Goubran, R., Knoefel, F., “Evaluation of Respiratory Sounds using Image-based Approaches for Health Measurement Applications”, IEEE Open Journal of Engineering in Medicine and Biology, 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

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Cohen-McFarlane, M., Xi, P., Wallace, B., Habashy, K., Huq, S., Goubran, R., Knoefel, F., “Evaluation of Respiratory Sounds using Image-based Approaches for Health Measurement Applications”, IEEE Open Journal of Engineering in Medicine and Biology, 2022.

August 3, 2022

Time to read: 1 minutes

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Pub_NRC_Pandemic

The post Cohen-McFarlane, M., Xi, P., Wallace, B., Habashy, K., Huq, S., Goubran, R., Knoefel, F., “Evaluation of Respiratory Sounds using Image-based Approaches for Health Measurement Applications”, IEEE Open Journal of Engineering in Medicine and Biology, 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> Cohen-MacFarlane, M “Human Respiratory Sound Classification for Remote Health Monitoring Applications”, PhD Thesis, �Ӱ�ԭ�� University, 2022. /sam3/2022/cohen-macfarlane-m-human-respiratory-sound-classification-for-remote-health-monitoring-applications-phd-thesis-carleton-university-2022/ Sun, 15 May 2022 19:07:12 +0000 /sam3/?p=523 Link to paper

The post Cohen-MacFarlane, M “Human Respiratory Sound Classification for Remote Health Monitoring Applications”, PhD Thesis, �Ӱ�ԭ�� University, 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

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Cohen-MacFarlane, M “Human Respiratory Sound Classification for Remote Health Monitoring Applications”, PhD Thesis, �Ӱ�ԭ�� University, 2022.

August 3, 2022

Pub_NRC_Pandemic

The post Cohen-MacFarlane, M “Human Respiratory Sound Classification for Remote Health Monitoring Applications”, PhD Thesis, �Ӱ�ԭ�� University, 2022. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> Cohen-McFarlane, M., Xi, P., Wallace, B., Valdés, J., Goubran, R. Knoefel, F., “Impact of face coverings on cough measurement characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. /sam3/2021/c-43cohen-mcfarlane-m-xi-p-wallace-b-valdes-j-goubran-r-knoefel-f-impact-of-face-coverings-on-cough-measurement-characterization-2021-ieee-international-symposium/ Tue, 03 Aug 2021 17:16:26 +0000 /sam3/?p=1002 Link to paper

The post Cohen-McFarlane, M., Xi, P., Wallace, B., Valdés, J., Goubran, R. Knoefel, F., “Impact of face coverings on cough measurement characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

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Cohen-McFarlane, M., Xi, P., Wallace, B., Valdés, J., Goubran, R. Knoefel, F., “Impact of face coverings on cough measurement characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.

August 3, 2022

Pub_NRC_Pandemic

The post Cohen-McFarlane, M., Xi, P., Wallace, B., Valdés, J., Goubran, R. Knoefel, F., “Impact of face coverings on cough measurement characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> Valdés, J., Xi, P., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. /sam3/2021/c-44valdes-j-xi-p-cohen-mcfarlane-m-wallace-b-goubran-r-knoefel-f-analysis-of-cough-sound-measurements-including-covid-19-positive-cases-a-machine-learning-characterization/ Tue, 03 Aug 2021 17:14:26 +0000 /sam3/?p=999 Link to paper

The post Valdés, J., Xi, P., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

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Valdés, J., Xi, P., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.

August 3, 2022

Pub_NRC_Pandemic

The post Valdés, J., Xi, P., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> Bennett, S., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “The Assessment of Cognitive and Physical Well-Being through Ambient Sensor Measures of Movement Towards Longitudinal Assessment of Activities of Daily Living” IEEE Instrumentation Measurement Magazine, Sep 2021. /sam3/2021/j-10bennett-s-cohen-mcfarlane-m-wallace-b-goubran-r-knoefel-f-the-assessment-of-cognitive-and-physical-well-being-through-ambient-sensor-measures-of-movement-towards-longitudin/ Sun, 01 Aug 2021 13:09:55 +0000 /sam3/?p=757 Link to paper

The post Bennett, S., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “The Assessment of Cognitive and Physical Well-Being through Ambient Sensor Measures of Movement Towards Longitudinal Assessment of Activities of Daily Living” IEEE Instrumentation Measurement Magazine, Sep 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

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Bennett, S., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “The Assessment of Cognitive and Physical Well-Being through Ambient Sensor Measures of Movement Towards Longitudinal Assessment of Activities of Daily Living” IEEE Instrumentation Measurement Magazine, Sep 2021.

August 3, 2022

Pub_NRC_Pandemic

The post Bennett, S., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “The Assessment of Cognitive and Physical Well-Being through Ambient Sensor Measures of Movement Towards Longitudinal Assessment of Activities of Daily Living” IEEE Instrumentation Measurement Magazine, Sep 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> Cohen-McFarlane, M., Bennett, S., Wallace, B., Goubran, R. Knoefel, F., “Bed-based Health Monitoring using Pressure Sensitive Technology: A Review”, IEEE Instrumentation Measurement Magazine, April 2021. /sam3/2021/j-11cohen-mcfarlane-m-bennett-s-wallace-b-goubran-r-knoefel-f-bed-based-health-monitoring-using-pressure-sensitive-technology-a-review-ieee-instrumentation-measureme/ Sun, 01 Aug 2021 13:08:14 +0000 /sam3/?p=754 Link to Paper

The post Cohen-McFarlane, M., Bennett, S., Wallace, B., Goubran, R. Knoefel, F., “Bed-based Health Monitoring using Pressure Sensitive Technology: A Review”, IEEE Instrumentation Measurement Magazine, April 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

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Cohen-McFarlane, M., Bennett, S., Wallace, B., Goubran, R. Knoefel, F., “Bed-based Health Monitoring using Pressure Sensitive Technology: A Review”, IEEE Instrumentation Measurement Magazine, April 2021.

August 3, 2022

Pub_NRC_Pandemic

The post Cohen-McFarlane, M., Bennett, S., Wallace, B., Goubran, R. Knoefel, F., “Bed-based Health Monitoring using Pressure Sensitive Technology: A Review”, IEEE Instrumentation Measurement Magazine, April 2021. appeared first on SAM3 AGE-WELL National Innovation Hub.

]]> Detecting COVID-19 Through Cough Sounds /sam3/2020/detecting-covid-19-through-cough-sounds/ Wed, 21 Oct 2020 20:33:50 +0000 /sam3/?p=220 This talk is on the work Madison Cohen-MacFarlane in her PhD within the SAM3 research. CBC Radio Interview with Madison Link to replay Cough is an early recognizable symptom of COVID-19, which presents a set of challenges for diagnosis because coughs are common symptoms of other medical conditions. The creation of unobtrusive remote monitoring tools […]

The post Detecting COVID-19 Through Cough Sounds appeared first on SAM3 AGE-WELL National Innovation Hub.

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Detecting COVID-19 Through Cough Sounds

August 3, 2022

Pub_NRC_Pandemic

This talk is on the work Madison Cohen-MacFarlane in her PhD within the SAM3 research.

Cough is an early recognizable symptom of COVID-19, which presents a set of challenges for diagnosis because coughs are common symptoms of other medical conditions. The creation of unobtrusive remote monitoring tools for medical professionals that may aid in COVID-19 diagnosis, monitoring and contact tracing could lead to more efficient and accurate treatments, especially in this time of physical distancing.

In this talk, graduate student Madison Cohen-McFarlane will discuss the development of what may be one of the first internationally available-upon-request database of COVID-19 cough events, created by a team of researchers at �Ӱ�ԭ�� University. She will review numerous individual cough events obtained through public media interviews with COVID-19 patients and explain how they can be analyzed through audio-based sensing methods that address the frequency, severity and characteristics of the COVID-19 cough. Their work has also been able to differentiate between different cough types (wet vs. dry), which can help in the diagnosis. She will close by offering insights into how this research can be used for rapid exploration and algorithm development, which can then be applied to more extensive datasets and potentially real time applications.

The post Detecting COVID-19 Through Cough Sounds appeared first on SAM3 AGE-WELL National Innovation Hub.

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