Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Zhu, Y.; Falk, T.
WavRx: A Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model Journal Article
In: IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 9, pp. 6353–6365, 2025, ISSN: 21682194 (ISSN).
Abstract | Links | BibTeX | Tags: Agnostic, area under the curve, article, artificial neural network, asthma, autoencoder, Benchmarking, breathing, chronic obstructive lung disease, Computer-Assisted, controlled study, convolutional neural network, coronavirus disease 2019, Cross-domain, Databases, Diagnosis, Diagnostic, Diagnostic model, diagnostic test accuracy study, diagnostics, Differential privacy, Dynamics, dysarthria, Electronic health record, embedding, Embeddings, Factual, factual database, Generalizability, Health embedding, Health embeddings, Health monitoring, human, Humans, Machine learning, malignant neoplasm, model, Pathological speech, pathophysiology, physiology, pneumonia, Privacy, Privacy preserving, privacy preserving speech health diagnostic model, privacy-preserving, Privacy-preserving techniques, receiver operating characteristic, short time Fourier transform, Signal processing, speech, speech articulation, speech disorder, Speech Disorders, State of the art, temporal representation encoder, training, waveform
@article{zhuWavRxDiseaseAgnosticGeneralizable2025,
title = {WavRx: A Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model},
author = {Y. Zhu and T. Falk},
url = {https://www.scopus.com/pages/publications/85203439930?origin=resultslist},
doi = {10.1109/JBHI.2024.3454550},
issn = {21682194 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume = {29},
number = {9},
pages = {6353–6365},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Speech is known to carry health-related attributes, which has emerged as a novel venue for remote and long-term health monitoring. However, existing models are usually tailored for a specific type of disease, and have been shown to lack generalizability across datasets. Furthermore, concerns have been raised recently towards the leakage of speaker identity from health embeddings. To mitigate these limitations, we propose WavRx, a speech health diagnostics model that captures the respiration and articulation related dynamics from a universal speech representation. Our in-domain and cross-domain experiments on six pathological speech datasets demonstrate WavRx as a new state-of-the-art health diagnostic model. Furthermore, we show that the amount of speaker identity entailed in the WavRx health embeddings is significantly reduced without extra guidance during training. An in-depth analysis of the model was performed, thus providing physiological interpretation of its improved generalizability and privacy-preserving ability. © 2013 IEEE.},
keywords = {Agnostic, area under the curve, article, artificial neural network, asthma, autoencoder, Benchmarking, breathing, chronic obstructive lung disease, Computer-Assisted, controlled study, convolutional neural network, coronavirus disease 2019, Cross-domain, Databases, Diagnosis, Diagnostic, Diagnostic model, diagnostic test accuracy study, diagnostics, Differential privacy, Dynamics, dysarthria, Electronic health record, embedding, Embeddings, Factual, factual database, Generalizability, Health embedding, Health embeddings, Health monitoring, human, Humans, Machine learning, malignant neoplasm, model, Pathological speech, pathophysiology, physiology, pneumonia, Privacy, Privacy preserving, privacy preserving speech health diagnostic model, privacy-preserving, Privacy-preserving techniques, receiver operating characteristic, short time Fourier transform, Signal processing, speech, speech articulation, speech disorder, Speech Disorders, State of the art, temporal representation encoder, training, waveform},
pubstate = {published},
tppubtype = {article}
}
Speech is known to carry health-related attributes, which has emerged as a novel venue for remote and long-term health monitoring. However, existing models are usually tailored for a specific type of disease, and have been shown to lack generalizability across datasets. Furthermore, concerns have been raised recently towards the leakage of speaker identity from health embeddings. To mitigate these limitations, we propose WavRx, a speech health diagnostics model that captures the respiration and articulation related dynamics from a universal speech representation. Our in-domain and cross-domain experiments on six pathological speech datasets demonstrate WavRx as a new state-of-the-art health diagnostic model. Furthermore, we show that the amount of speaker identity entailed in the WavRx health embeddings is significantly reduced without extra guidance during training. An in-depth analysis of the model was performed, thus providing physiological interpretation of its improved generalizability and privacy-preserving ability. © 2013 IEEE.
2.
Savard, J.; Ivers, H.; Savard, M. -H.; Morin, C. M.; Caplette-Gingras, A.; Bouchard, S.; Lacroix, G.
In: Sleep, vol. 44, no. 11, 2021, ISSN: 01618105 (ISSN), (Publisher: Oxford University Press).
Abstract | Links | BibTeX | Tags: adult, Anxiety, Anxiety disorder, cancer, cancer diagnosis, cancer patient, cognitive behavioral therapy, Cognitive-behavioral therapy, comparative study, complication, controlled study, cost effectiveness analysis, Depression, disease severity, drug use, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, fatigue, female, Hospital Anxiety and Depression Scale, human, Humans, insomnia, Insomnia Severity Index, long term care, major clinical study, male, malignant neoplasm, Middle Aged, Montreal cognitive assessment, neoplasm, Neoplasms, outcome assessment, procedures, psychotropic agent, quality of life, randomized controlled trial, remission, review, Self Care, short course therapy, sleep, sleep efficiency, Sleep Initiation and Maintenance Disorders, sleep pattern, stepped care, stepped care approach, Structured Clinical Interview for DSM Disorders, therapy effect, treatment outcome, web-based intervention
@article{savard_efficacy_2021,
title = {Efficacy of a stepped care approach to deliver cognitive-behavioral therapy for insomnia in cancer patients: A noninferiority randomized controlled trial},
author = {J. Savard and H. Ivers and M. -H. Savard and C. M. Morin and A. Caplette-Gingras and S. Bouchard and G. Lacroix},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121217599&doi=10.1093%2fsleep%2fzsab166&partnerID=40&md5=8c3390082d345b725c47465f96bb8e44},
doi = {10.1093/sleep/zsab166},
issn = {01618105 (ISSN)},
year = {2021},
date = {2021-01-01},
journal = {Sleep},
volume = {44},
number = {11},
publisher = {Oxford University Press},
abstract = {Study Objectives: Cognitive-behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for cancer-related insomnia, but its accessibility is very limited in routine care. A stepped care approach has been recommended as a cost-effective way to make CBT-I more widely accessible. However, no controlled study has yet been published about the efficacy of this approach. The goal of this noninferiority randomized controlled trial (RCT) was to compare the short and long-term efficacy of a stepped care CBT-I (StepCBT-I) to a standard face-to-face CBT-I (StanCBT-I). Methods: A total of 177 cancer patients were randomized to: (1) StanCBT-I (6 face-to-face CBT-I sessions; n = 59) or (2) StepCBT-I (n = 118). In the StepCBT-I group, patients with less severe insomnia first received a web-based CBT-I (n = 65), while those with more severe insomnia received 6 face-to-face CBT-I sessions (n = 53). In both cases, patients could receive up to three booster sessions of CBT-I if they still had insomnia symptoms following this first step. Results: Results indicated that the Step-CBT-I group showed an Insomnia Severity Index score reduction and a sleep efficiency (on a sleep diary) increase that was not significantly inferior to that of StanCBT-I at all post-treatment time points. Analyses of secondary outcomes indicated significant time effects (ps <. 001) and no significant group-by-time interactions (ps from. 07 to. 91) on other sleep diary parameters, sleep medication use, depression, anxiety, fatigue, and quality of life scores. Conclusion(s): The efficacy of stepped care CBT-I is not inferior to that of a standard face-to-face intervention and is a valuable approach to making this treatment more widely accessible to cancer patients. Trial registration: ClinicalTrials.gov Identifier: NCT01864720 (https://clinicaltrials.gov/ct2/show/NCT01864720?term=Savard&draw=2&rank=6; Stepped Care Model for the Wider Dissemination of Cognitive-Behavioural Therapy for Insomnia Among Cancer Patients). © 2021 Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society.},
note = {Publisher: Oxford University Press},
keywords = {adult, Anxiety, Anxiety disorder, cancer, cancer diagnosis, cancer patient, cognitive behavioral therapy, Cognitive-behavioral therapy, comparative study, complication, controlled study, cost effectiveness analysis, Depression, disease severity, drug use, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, fatigue, female, Hospital Anxiety and Depression Scale, human, Humans, insomnia, Insomnia Severity Index, long term care, major clinical study, male, malignant neoplasm, Middle Aged, Montreal cognitive assessment, neoplasm, Neoplasms, outcome assessment, procedures, psychotropic agent, quality of life, randomized controlled trial, remission, review, Self Care, short course therapy, sleep, sleep efficiency, Sleep Initiation and Maintenance Disorders, sleep pattern, stepped care, stepped care approach, Structured Clinical Interview for DSM Disorders, therapy effect, treatment outcome, web-based intervention},
pubstate = {published},
tppubtype = {article}
}
Study Objectives: Cognitive-behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for cancer-related insomnia, but its accessibility is very limited in routine care. A stepped care approach has been recommended as a cost-effective way to make CBT-I more widely accessible. However, no controlled study has yet been published about the efficacy of this approach. The goal of this noninferiority randomized controlled trial (RCT) was to compare the short and long-term efficacy of a stepped care CBT-I (StepCBT-I) to a standard face-to-face CBT-I (StanCBT-I). Methods: A total of 177 cancer patients were randomized to: (1) StanCBT-I (6 face-to-face CBT-I sessions; n = 59) or (2) StepCBT-I (n = 118). In the StepCBT-I group, patients with less severe insomnia first received a web-based CBT-I (n = 65), while those with more severe insomnia received 6 face-to-face CBT-I sessions (n = 53). In both cases, patients could receive up to three booster sessions of CBT-I if they still had insomnia symptoms following this first step. Results: Results indicated that the Step-CBT-I group showed an Insomnia Severity Index score reduction and a sleep efficiency (on a sleep diary) increase that was not significantly inferior to that of StanCBT-I at all post-treatment time points. Analyses of secondary outcomes indicated significant time effects (ps <. 001) and no significant group-by-time interactions (ps from. 07 to. 91) on other sleep diary parameters, sleep medication use, depression, anxiety, fatigue, and quality of life scores. Conclusion(s): The efficacy of stepped care CBT-I is not inferior to that of a standard face-to-face intervention and is a valuable approach to making this treatment more widely accessible to cancer patients. Trial registration: ClinicalTrials.gov Identifier: NCT01864720 (https://clinicaltrials.gov/ct2/show/NCT01864720?term=Savard&draw=2&rank=6; Stepped Care Model for the Wider Dissemination of Cognitive-Behavioural Therapy for Insomnia Among Cancer Patients). © 2021 Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society.
3.
Savard, J.; Ivers, H.; Savard, M. -H.; Morin, C. M.; Caplette-Gingras, A.; Bouchard, S.; Lacroix, G.
In: Sleep, vol. 44, no. 11, 2021, ISSN: 01618105 (ISSN).
Abstract | Links | BibTeX | Tags: adult, Anxiety, Anxiety disorder, cancer, cancer diagnosis, cancer patient, cognitive behavioral therapy, Cognitive-behavioral therapy, comparative study, complication, controlled study, cost effectiveness analysis, Depression, disease severity, drug use, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, fatigue, female, Hospital Anxiety and Depression Scale, human, Humans, insomnia, Insomnia Severity Index, long term care, major clinical study, male, malignant neoplasm, Middle Aged, Montreal cognitive assessment, neoplasm, Neoplasms, outcome assessment, procedures, psychotropic agent, quality of life, randomized controlled trial, remission, review, Self Care, short course therapy, sleep, sleep efficiency, Sleep Initiation and Maintenance Disorders, sleep pattern, stepped care, stepped care approach, Structured Clinical Interview for DSM Disorders, therapy effect, treatment outcome, web-based intervention
@article{savardEfficacySteppedCare2021,
title = {Efficacy of a stepped care approach to deliver cognitive-behavioral therapy for insomnia in cancer patients: A noninferiority randomized controlled trial},
author = {J. Savard and H. Ivers and M. -H. Savard and C. M. Morin and A. Caplette-Gingras and S. Bouchard and G. Lacroix},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121217599&doi=10.1093%2fsleep%2fzsab166&partnerID=40&md5=8c3390082d345b725c47465f96bb8e44},
doi = {10.1093/sleep/zsab166},
issn = {01618105 (ISSN)},
year = {2021},
date = {2021-01-01},
journal = {Sleep},
volume = {44},
number = {11},
publisher = {Oxford University Press},
abstract = {Study Objectives: Cognitive-behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for cancer-related insomnia, but its accessibility is very limited in routine care. A stepped care approach has been recommended as a cost-effective way to make CBT-I more widely accessible. However, no controlled study has yet been published about the efficacy of this approach. The goal of this noninferiority randomized controlled trial (RCT) was to compare the short and long-term efficacy of a stepped care CBT-I (StepCBT-I) to a standard face-to-face CBT-I (StanCBT-I). Methods: A total of 177 cancer patients were randomized to: (1) StanCBT-I (6 face-to-face CBT-I sessions; n = 59) or (2) StepCBT-I (n = 118). In the StepCBT-I group, patients with less severe insomnia first received a web-based CBT-I (n = 65), while those with more severe insomnia received 6 face-to-face CBT-I sessions (n = 53). In both cases, patients could receive up to three booster sessions of CBT-I if they still had insomnia symptoms following this first step. Results: Results indicated that the Step-CBT-I group showed an Insomnia Severity Index score reduction and a sleep efficiency (on a sleep diary) increase that was not significantly inferior to that of StanCBT-I at all post-treatment time points. Analyses of secondary outcomes indicated significant time effects (ps <. 001) and no significant group-by-time interactions (ps from. 07 to. 91) on other sleep diary parameters, sleep medication use, depression, anxiety, fatigue, and quality of life scores. Conclusion(s): The efficacy of stepped care CBT-I is not inferior to that of a standard face-to-face intervention and is a valuable approach to making this treatment more widely accessible to cancer patients. Trial registration: ClinicalTrials.gov Identifier: NCT01864720 (https://clinicaltrials.gov/ct2/show/NCT01864720?term=Savard&draw=2&rank=6; Stepped Care Model for the Wider Dissemination of Cognitive-Behavioural Therapy for Insomnia Among Cancer Patients). © 2021 Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society.},
keywords = {adult, Anxiety, Anxiety disorder, cancer, cancer diagnosis, cancer patient, cognitive behavioral therapy, Cognitive-behavioral therapy, comparative study, complication, controlled study, cost effectiveness analysis, Depression, disease severity, drug use, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, fatigue, female, Hospital Anxiety and Depression Scale, human, Humans, insomnia, Insomnia Severity Index, long term care, major clinical study, male, malignant neoplasm, Middle Aged, Montreal cognitive assessment, neoplasm, Neoplasms, outcome assessment, procedures, psychotropic agent, quality of life, randomized controlled trial, remission, review, Self Care, short course therapy, sleep, sleep efficiency, Sleep Initiation and Maintenance Disorders, sleep pattern, stepped care, stepped care approach, Structured Clinical Interview for DSM Disorders, therapy effect, treatment outcome, web-based intervention},
pubstate = {published},
tppubtype = {article}
}
Study Objectives: Cognitive-behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for cancer-related insomnia, but its accessibility is very limited in routine care. A stepped care approach has been recommended as a cost-effective way to make CBT-I more widely accessible. However, no controlled study has yet been published about the efficacy of this approach. The goal of this noninferiority randomized controlled trial (RCT) was to compare the short and long-term efficacy of a stepped care CBT-I (StepCBT-I) to a standard face-to-face CBT-I (StanCBT-I). Methods: A total of 177 cancer patients were randomized to: (1) StanCBT-I (6 face-to-face CBT-I sessions; n = 59) or (2) StepCBT-I (n = 118). In the StepCBT-I group, patients with less severe insomnia first received a web-based CBT-I (n = 65), while those with more severe insomnia received 6 face-to-face CBT-I sessions (n = 53). In both cases, patients could receive up to three booster sessions of CBT-I if they still had insomnia symptoms following this first step. Results: Results indicated that the Step-CBT-I group showed an Insomnia Severity Index score reduction and a sleep efficiency (on a sleep diary) increase that was not significantly inferior to that of StanCBT-I at all post-treatment time points. Analyses of secondary outcomes indicated significant time effects (ps <. 001) and no significant group-by-time interactions (ps from. 07 to. 91) on other sleep diary parameters, sleep medication use, depression, anxiety, fatigue, and quality of life scores. Conclusion(s): The efficacy of stepped care CBT-I is not inferior to that of a standard face-to-face intervention and is a valuable approach to making this treatment more widely accessible to cancer patients. Trial registration: ClinicalTrials.gov Identifier: NCT01864720 (https://clinicaltrials.gov/ct2/show/NCT01864720?term=Savard&draw=2&rank=6; Stepped Care Model for the Wider Dissemination of Cognitive-Behavioural Therapy for Insomnia Among Cancer Patients). © 2021 Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society.