@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}

}

@article{du_sert_virtual_2018,

title = {Virtual reality therapy for refractory auditory verbal hallucinations in schizophrenia: A pilot clinical trial},

author = {O. P. Sert and S. Potvin and O. Lipp and L. Dellazizzo and M. Laurelli and R. Breton and P. Lalonde and K. Phraxayavong and K. O'Connor and J. -F. Pelletier and T. Boukhalfi and P. Renaud and A. Dumais},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042420594&doi=10.1016%2fj.schres.2018.02.031&partnerID=40&md5=fe98669ecfdfb69d05cc9ebb58fecdcc},

doi = {10.1016/j.schres.2018.02.031},

issn = {09209964},

year  = {2018},

date = {2018-01-01},

journal = {Schizophrenia Research},

volume = {197},

pages = {176–181},

publisher = {Elsevier B.V.},

abstract = {Schizophrenia is a chronic and severe mental illness that poses significant challenges. While many pharmacological and psychosocial interventions are available, many treatment-resistant schizophrenia patients continue to suffer from persistent psychotic symptoms, notably auditory verbal hallucinations (AVH), which are highly disabling. This unmet clinical need requires new innovative treatment options. Recently, a psychological therapy using computerized technology has shown large therapeutic effects on AVH severity by enabling patients to engage in a dialogue with a computerized representation of their voices. These very promising results have been extended by our team using immersive virtual reality (VR). Our study was a 7-week phase-II, randomized, partial cross-over trial. Nineteen schizophrenia patients with refractory AVH were recruited and randomly allocated to either VR-assisted therapy (VRT) or treatment-as-usual (TAU). The group allocated to TAU consisted of antipsychotic treatment and usual meetings with clinicians. The TAU group then received a delayed 7 weeks of VRT. A follow-up was ensured 3 months after the last VRT therapy session. Changes in psychiatric symptoms, before and after TAU or VRT, were assessed using a linear mixed-effects model. Our findings showed that VRT produced significant improvements in AVH severity, depressive symptoms and quality of life that lasted at the 3-month follow-up period. Consistent with previous research, our results suggest that VRT might be efficacious in reducing AVH related distress. The therapeutic effects of VRT on the distress associated with the voices were particularly prominent (d = 1.2). VRT is a highly novel and promising intervention for refractory AVH in schizophrenia. © 2018},

note = {Publisher: Elsevier B.V.},

keywords = {adult, article, auditory hallucination, auditory verbal hallucination, clinical article, clinical effectiveness, computer assisted therapy, Computer-Assisted, controlled study, Cross-Over Studies, crossover procedure, disease severity, distress syndrome, female, follow up, Follow-Up Studies, hallucination, Hallucinations, human, Humans, male, Middle Aged, neuroleptic agent, outcome assessment, Outcome Assessment (Health Care), phase 2 clinical trial, physiology, Pilot Projects, pilot study, priority journal, procedures, psychotherapy, quality of life, randomized controlled trial, schizophrenia, Speech Perception, symptom, Therapy, therapy delay, therapy effect, treatment duration, treatment response, virtual reality, virtual reality exposure therapy},

pubstate = {published},

tppubtype = {article}

}

@article{dusertVirtualRealityTherapy2018,

title = {Virtual reality therapy for refractory auditory verbal hallucinations in schizophrenia: A pilot clinical trial},

author = {O. P. Sert and S. Potvin and O. Lipp and L. Dellazizzo and M. Laurelli and R. Breton and P. Lalonde and K. Phraxayavong and K. O'Connor and J. -F. Pelletier and T. Boukhalfi and P. Renaud and A. Dumais},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042420594&doi=10.1016%2fj.schres.2018.02.031&partnerID=40&md5=fe98669ecfdfb69d05cc9ebb58fecdcc},

doi = {10.1016/j.schres.2018.02.031},

issn = {09209964},

year  = {2018},

date = {2018-01-01},

journal = {Schizophrenia Research},

volume = {197},

pages = {176–181},

publisher = {Elsevier B.V.},

abstract = {Schizophrenia is a chronic and severe mental illness that poses significant challenges. While many pharmacological and psychosocial interventions are available, many treatment-resistant schizophrenia patients continue to suffer from persistent psychotic symptoms, notably auditory verbal hallucinations (AVH), which are highly disabling. This unmet clinical need requires new innovative treatment options. Recently, a psychological therapy using computerized technology has shown large therapeutic effects on AVH severity by enabling patients to engage in a dialogue with a computerized representation of their voices. These very promising results have been extended by our team using immersive virtual reality (VR). Our study was a 7-week phase-II, randomized, partial cross-over trial. Nineteen schizophrenia patients with refractory AVH were recruited and randomly allocated to either VR-assisted therapy (VRT) or treatment-as-usual (TAU). The group allocated to TAU consisted of antipsychotic treatment and usual meetings with clinicians. The TAU group then received a delayed 7 weeks of VRT. A follow-up was ensured 3 months after the last VRT therapy session. Changes in psychiatric symptoms, before and after TAU or VRT, were assessed using a linear mixed-effects model. Our findings showed that VRT produced significant improvements in AVH severity, depressive symptoms and quality of life that lasted at the 3-month follow-up period. Consistent with previous research, our results suggest that VRT might be efficacious in reducing AVH related distress. The therapeutic effects of VRT on the distress associated with the voices were particularly prominent (d = 1.2). VRT is a highly novel and promising intervention for refractory AVH in schizophrenia. © 2018},

keywords = {adult, article, auditory hallucination, auditory verbal hallucination, clinical article, clinical effectiveness, computer assisted therapy, Computer-Assisted, controlled study, Cross-Over Studies, crossover procedure, disease severity, distress syndrome, female, follow up, Follow-Up Studies, hallucination, Hallucinations, human, Humans, male, Middle Aged, neuroleptic agent, outcome assessment, Outcome Assessment (Health Care), phase 2 clinical trial, physiology, Pilot Projects, pilot study, priority journal, procedures, psychotherapy, quality of life, randomized controlled trial, schizophrenia, Speech Perception, symptom, Therapy, therapy delay, therapy effect, treatment duration, treatment response, virtual reality, virtual reality exposure therapy},

pubstate = {published},

tppubtype = {article}

}

@article{corno_usability_2014,

title = {Usability assessment of the virtual multitasking test (V-MT) for elderly people},

author = {G. Corno and S. Bouchard and H. Forget},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928056933&partnerID=40&md5=b0e0cc4d1c5203678a24bbdcf36d7686},

issn = {15548716},

year  = {2014},

date = {2014-01-01},

journal = {Annual Review of CyberTherapy and Telemedicine},

volume = {12},

pages = {168–172},

publisher = {Virtual reality med institute},

abstract = {In the last decades an increasing number of psychological researches have used Virtual Reality (VR) technology in different fields. Nevertheless, few studies used Virtual Environments (VEs) with a sample of older users. The aim of the present study is to assess the usability of the Virtual Multitasking Test (V-MT), which consists in a virtual apartment created to assess cognitive functions in elderly people. This study reports the preliminary results to support the development of a VE in which elderly people feel present and fully immersed. © 2014, Virtual reality med institute. All rights reserved.},

note = {Publisher: Virtual reality med institute},

keywords = {80 and over, aged, behavior, cognition, cognitive defect, Cognitive Dysfunction, Cognitive functions, computer assisted diagnosis, Computer-Assisted, Diagnosis, Elderly, Elderly people, female, Geriatric Assessment, human, human experiment, Humans, male, Middle Aged, Multitasking, Multitasking Behavior, Older users, Presence, procedures, Psychological research, Usability, Usability assessment, very elderly, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{cornoUsabilityAssessmentVirtual2014,

title = {Usability assessment of the virtual multitasking test (V-MT) for elderly people},

author = {G. Corno and S. Bouchard and H. Forget},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928056933&partnerID=40&md5=b0e0cc4d1c5203678a24bbdcf36d7686},

issn = {15548716},

year  = {2014},

date = {2014-01-01},

journal = {Annual Review of CyberTherapy and Telemedicine},

volume = {12},

pages = {168–172},

publisher = {Virtual reality med institute},

abstract = {In the last decades an increasing number of psychological researches have used Virtual Reality (VR) technology in different fields. Nevertheless, few studies used Virtual Environments (VEs) with a sample of older users. The aim of the present study is to assess the usability of the Virtual Multitasking Test (V-MT), which consists in a virtual apartment created to assess cognitive functions in elderly people. This study reports the preliminary results to support the development of a VE in which elderly people feel present and fully immersed. © 2014, Virtual reality med institute. All rights reserved.},

keywords = {80 and over, aged, behavior, cognition, cognitive defect, Cognitive Dysfunction, Cognitive functions, computer assisted diagnosis, Computer-Assisted, Diagnosis, Elderly, Elderly people, female, Geriatric Assessment, human, human experiment, Humans, male, Middle Aged, Multitasking, Multitasking Behavior, Older users, Presence, procedures, Psychological research, Usability, Usability assessment, very elderly, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{allili_wavelet_2012,

title = {Wavelet modeling using finite mixtures of generalized Gaussian distributions: Application to texture discrimination and retrieval},

author = {M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859096106&doi=10.1109%2fTIP.2011.2170701&partnerID=40&md5=0420facdc04978ad84bea3126bc1183a},

doi = {10.1109/TIP.2011.2170701},

issn = {10577149},

year  = {2012},

date = {2012-01-01},

journal = {IEEE Transactions on Image Processing},

volume = {21},

number = {4},

pages = {1452–1464},

abstract = {This paper addresses statistical-based texture modeling using wavelets. We propose a new approach to represent the marginal distribution of the wavelet coefficients using finite mixtures of generalized Gaussian (MoGG) distributions. The MoGG captures a wide range of histogram shapes, which provides better description and discrimination of texture than using single probability density functions (pdf's), as proposed by recent state-of-the-art approaches. Moreover, we propose a model similarity measure based on Kullback-Leibler divergence (KLD) approximation using Monte Carlo sampling methods. Through experiments on two popular texture data sets, we show that our approach yields significant performance improvements for texture discrimination and retrieval, as compared with recent methods of statistical-based wavelet modeling. © 2011 IEEE.},

keywords = {algorithm, Algorithms, article, Automated, automated pattern recognition, computer assisted diagnosis, Computer Simulation, Computer-Assisted, Data Interpretation, Finite mixtures, Generalized Gaussian, Generalized Gaussian Distributions, Image Enhancement, Image Interpretation, Image segmentation, Imaging, Kullback Leibler divergence, Marginal distribution, methodology, Mixtures, Models, Monte Carlo methods, Monte Carlo sampling, Normal Distribution, Pattern Recognition, Performance improvements, reproducibility, Reproducibility of Results, Sensitivity and Specificity, Similarity measure, State-of-the-art approach, Statistical, statistical analysis, statistical model, Texture data set, Texture discrimination, Texture modeling, Textures, three dimensional imaging, Three-Dimensional, Wavelet Analysis, Wavelet coefficients, Wavelet decomposition, Wavelet modeling},

pubstate = {published},

tppubtype = {article}

}

@article{alliliWaveletModelingUsing2012,

title = {Wavelet modeling using finite mixtures of generalized Gaussian distributions: Application to texture discrimination and retrieval},

author = {M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859096106&doi=10.1109%2fTIP.2011.2170701&partnerID=40&md5=0420facdc04978ad84bea3126bc1183a},

doi = {10.1109/TIP.2011.2170701},

issn = {10577149},

year  = {2012},

date = {2012-01-01},

journal = {IEEE Transactions on Image Processing},

volume = {21},

number = {4},

pages = {1452–1464},

abstract = {This paper addresses statistical-based texture modeling using wavelets. We propose a new approach to represent the marginal distribution of the wavelet coefficients using finite mixtures of generalized Gaussian (MoGG) distributions. The MoGG captures a wide range of histogram shapes, which provides better description and discrimination of texture than using single probability density functions (pdf's), as proposed by recent state-of-the-art approaches. Moreover, we propose a model similarity measure based on Kullback-Leibler divergence (KLD) approximation using Monte Carlo sampling methods. Through experiments on two popular texture data sets, we show that our approach yields significant performance improvements for texture discrimination and retrieval, as compared with recent methods of statistical-based wavelet modeling. © 2011 IEEE.},

keywords = {algorithm, Algorithms, article, Automated, automated pattern recognition, computer assisted diagnosis, Computer Simulation, Computer-Assisted, Data Interpretation, Finite mixtures, Generalized Gaussian, Generalized Gaussian Distributions, Image Enhancement, Image Interpretation, Image segmentation, Imaging, Kullback Leibler divergence, Marginal distribution, methodology, Mixtures, Models, Monte Carlo methods, Monte Carlo sampling, Normal Distribution, Pattern Recognition, Performance improvements, reproducibility, Reproducibility of Results, Sensitivity and Specificity, Similarity measure, State-of-the-art approach, Statistical, statistical analysis, statistical model, Texture data set, Texture discrimination, Texture modeling, Textures, three dimensional imaging, Three-Dimensional, Wavelet Analysis, Wavelet coefficients, Wavelet decomposition, Wavelet modeling},

pubstate = {published},

tppubtype = {article}

}

@article{robillard_development_2011,

title = {The development of the SWEAT questionnaire: a scale measuring costs and efforts inherent to conducting exposure sessions.},

author = {G. Robillard and S. Bouchard and S. Dumoulin and T. Guitard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054121010&partnerID=40&md5=10bd1de5d9c38b5a975dab3b477c1d4d},

issn = {09269630},

year  = {2011},

date = {2011-01-01},

journal = {Studies in health technology and informatics},

volume = {167},

pages = {105–110},

abstract = {For decades, empirical studies have shown the effectiveness of exposure techniques when used in cognitive-behavioral therapy (CBT) treatment for anxiety disorders. A few studies are now suggesting that using Virtual Reality (VR) may be an effective way to conduct exposure and overcome some of the limitations of in vivo exposure. The aim of this study is to validate the Specific Work for Exposure Applied in Therapy (SWEAT) questionnaire that measures costs and efforts required to conduct in vivo and in virtuo exposure. A total of 265 exposure sessions (in vivo = 140; in virtuo = 125) were rated by experienced psychologists. Reliability analysis revealed three main factors in the construct of the SWEAT questionnaire. Results also showed that conducting exposure in VR is less of a burden and more readily adapted to the patients' needs than in vivo.},

keywords = {adult, Anxiety disorder, Anxiety Disorders, article, behavior therapy, clinical effectiveness, computer assisted therapy, computer interface, Computer Simulation, Computer-Assisted, controlled study, cost benefit analysis, economics, exposure, female, human, Humans, Implosive Therapy, in vivo study, male, methodology, psychologist, Psychometrics, psychometry, questionnaire, Questionnaires, reliability, reproducibility, Reproducibility of Results, specific work for exposure applied in therapy questionnaire, Therapy, User-Computer Interface, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{bouchard_could_2011,

title = {Could virtual reality be effective in treating children with phobias?},

author = {S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951655992&doi=10.1586%2fern.10.196&partnerID=40&md5=a941040ff9b2edf8439f26b36edc7163},

doi = {10.1586/ern.10.196},

issn = {17448360 (ISSN)},

year  = {2011},

date = {2011-01-01},

journal = {Expert Review of Neurotherapeutics},

volume = {11},

number = {2},

pages = {207–213},

abstract = {The use of virtual reality to treat anxiety disorders in adults is gaining popularity and its efficacy is supported by numerous outcome studies. Similar research for children is lagging behind. The outcome studies on the use of virtual reality to treat anxiety disorders in children currently address only specific phobias, and all of the available trials are reviewed in this article. Despite the limited number of studies, results are very encouraging for the treatment of school and spider phobias. A study with adolescents suggests that, at least for social anxiety, exposure stimuli would be more effective if they were developed specifically for younger populations. Virtual reality may not increase children's motivation towards therapy unless their fearful apprehension is addressed before initiating the treatment. © 2011 Expert Reviews Ltd.},

keywords = {Adolescent, Anxiety, Anxiety Disorders, arachnophobia, article, audiovisual equipment, Child, child psychiatry, Children, cognitive therapy, Cognitive-behavior therapy, Computer Simulation, Computer-Assisted, controlled clinical trial (topic), environmental factor, Exposure therapy, groups by age, human, Humans, image display, motivation, phobia, Phobic Disorders, social phobia, spider, Therapy, treatment outcome, User-Computer Interface, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{robillardDevelopmentSWEATQuestionnaire2011,

title = {The development of the SWEAT questionnaire: a scale measuring costs and efforts inherent to conducting exposure sessions.},

author = {G. Robillard and S. Bouchard and S. Dumoulin and T. Guitard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054121010&partnerID=40&md5=10bd1de5d9c38b5a975dab3b477c1d4d},

issn = {09269630},

year  = {2011},

date = {2011-01-01},

journal = {Studies in health technology and informatics},

volume = {167},

pages = {105–110},

abstract = {For decades, empirical studies have shown the effectiveness of exposure techniques when used in cognitive-behavioral therapy (CBT) treatment for anxiety disorders. A few studies are now suggesting that using Virtual Reality (VR) may be an effective way to conduct exposure and overcome some of the limitations of in vivo exposure. The aim of this study is to validate the Specific Work for Exposure Applied in Therapy (SWEAT) questionnaire that measures costs and efforts required to conduct in vivo and in virtuo exposure. A total of 265 exposure sessions (in vivo = 140; in virtuo = 125) were rated by experienced psychologists. Reliability analysis revealed three main factors in the construct of the SWEAT questionnaire. Results also showed that conducting exposure in VR is less of a burden and more readily adapted to the patients' needs than in vivo.},

keywords = {adult, Anxiety disorder, Anxiety Disorders, article, behavior therapy, clinical effectiveness, computer assisted therapy, computer interface, Computer Simulation, Computer-Assisted, controlled study, cost benefit analysis, economics, exposure, female, human, Humans, Implosive Therapy, in vivo study, male, methodology, psychologist, Psychometrics, psychometry, questionnaire, Questionnaires, reliability, reproducibility, Reproducibility of Results, specific work for exposure applied in therapy questionnaire, Therapy, User-Computer Interface, virtual reality},

pubstate = {published},

tppubtype = {article}

}