An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool
<italic>Goal:</italic> This paper introduces an automated post-traumatic stress disorder (PTSD) screening tool that could potentially be used as a self-assessment or inserted into routine medical visits to aid in PTSD diagnosis and treatment. <italic>Methods:</italic> With an...
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10149847/ |
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| author | Thomas F. Quatieri Jing Wang James R. Williamson Richard DeLaura Tanya Talkar Nancy P. Solomon Stefanie E. Kuchinsky Megan Eitel Tracey Brickell Sara Lippa Kristin J. Heaton Douglas S. Brungart Louis French Rael Lange Jeffrey Palmer Hayley Reynolds |
| author_facet | Thomas F. Quatieri Jing Wang James R. Williamson Richard DeLaura Tanya Talkar Nancy P. Solomon Stefanie E. Kuchinsky Megan Eitel Tracey Brickell Sara Lippa Kristin J. Heaton Douglas S. Brungart Louis French Rael Lange Jeffrey Palmer Hayley Reynolds |
| author_sort | Thomas F. Quatieri |
| collection | DOAJ |
| description | <italic>Goal:</italic> This paper introduces an automated post-traumatic stress disorder (PTSD) screening tool that could potentially be used as a self-assessment or inserted into routine medical visits to aid in PTSD diagnosis and treatment. <italic>Methods:</italic> With an emotion estimation algorithm providing arousal (excited to calm) and valence (pleasure to displeasure) levels through discourse, we select regions of the acoustic signal that are most salient for PTSD detection. Our algorithm was tested on a subset of data from the DVBIC-TBICoE TBI Study, which contains PTSD Check List Civilian (PCL-C) assessment scores. <italic>Results:</italic> Speech from low-arousal and positive-valence regions provide the highest discrimination for PTSD. Our model achieved an AUC (area under the curve) of 0.80 in detecting PCL-C ratings, outperforming models with no emotion filtering (AUC = 0.68). <italic>Conclusions:</italic> This result suggests that emotion drives the selection of the most salient temporal regions of an audio recording for PTSD detection. |
| format | Article |
| id | doaj-art-fab60860d17f47afa81789cbb1f4af66 |
| institution | Kabale University |
| issn | 2644-1276 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-fab60860d17f47afa81789cbb1f4af662025-01-30T00:03:45ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-01562162610.1109/OJEMB.2023.328479810149847An Emotion-Driven Vocal Biomarker-Based PTSD Screening ToolThomas F. Quatieri0https://orcid.org/0000-0003-1925-6340Jing Wang1https://orcid.org/0000-0002-7953-6718James R. Williamson2https://orcid.org/0000-0001-9449-3616Richard DeLaura3https://orcid.org/0000-0003-2971-9441Tanya Talkar4https://orcid.org/0000-0002-1999-6843Nancy P. Solomon5https://orcid.org/0000-0002-5018-7569Stefanie E. Kuchinsky6https://orcid.org/0000-0001-9320-486XMegan Eitel7Tracey Brickell8Sara Lippa9Kristin J. Heaton10https://orcid.org/0000-0001-8366-6294Douglas S. Brungart11Louis French12Rael Lange13Jeffrey Palmer14https://orcid.org/0000-0001-8919-1285Hayley Reynolds15MIT Lincoln Laboratory (MIT LL), Lexington, MA, USAMIT Lincoln Laboratory (MIT LL), Lexington, MA, USAMIT Lincoln Laboratory (MIT LL), Lexington, MA, USAMIT Lincoln Laboratory (MIT LL), Lexington, MA, USAMIT Lincoln Laboratory (MIT LL), Lexington, MA, USAWalter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USAWalter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USAWalter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USATraumatic Brain Injury Center of Excellence, Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USANational Intrepid Center of Excellence, WRNMMC, Bethesda, MD, USAU.S. Army Research Institute of Environmental Medicine (USARIEM), Natick, MA, USAWalter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USATraumatic Brain Injury Center of Excellence, Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USATraumatic Brain Injury Center of Excellence, Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD, USAMIT Lincoln Laboratory (MIT LL), Lexington, MA, USAMIT Lincoln Laboratory (MIT LL), Lexington, MA, USA<italic>Goal:</italic> This paper introduces an automated post-traumatic stress disorder (PTSD) screening tool that could potentially be used as a self-assessment or inserted into routine medical visits to aid in PTSD diagnosis and treatment. <italic>Methods:</italic> With an emotion estimation algorithm providing arousal (excited to calm) and valence (pleasure to displeasure) levels through discourse, we select regions of the acoustic signal that are most salient for PTSD detection. Our algorithm was tested on a subset of data from the DVBIC-TBICoE TBI Study, which contains PTSD Check List Civilian (PCL-C) assessment scores. <italic>Results:</italic> Speech from low-arousal and positive-valence regions provide the highest discrimination for PTSD. Our model achieved an AUC (area under the curve) of 0.80 in detecting PCL-C ratings, outperforming models with no emotion filtering (AUC = 0.68). <italic>Conclusions:</italic> This result suggests that emotion drives the selection of the most salient temporal regions of an audio recording for PTSD detection.https://ieeexplore.ieee.org/document/10149847/Emotional digital twinemotion sensingneuromotor coordinationPTSDvocal biomarkers |
| spellingShingle | Thomas F. Quatieri Jing Wang James R. Williamson Richard DeLaura Tanya Talkar Nancy P. Solomon Stefanie E. Kuchinsky Megan Eitel Tracey Brickell Sara Lippa Kristin J. Heaton Douglas S. Brungart Louis French Rael Lange Jeffrey Palmer Hayley Reynolds An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool IEEE Open Journal of Engineering in Medicine and Biology Emotional digital twin emotion sensing neuromotor coordination PTSD vocal biomarkers |
| title | An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool |
| title_full | An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool |
| title_fullStr | An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool |
| title_full_unstemmed | An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool |
| title_short | An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool |
| title_sort | emotion driven vocal biomarker based ptsd screening tool |
| topic | Emotional digital twin emotion sensing neuromotor coordination PTSD vocal biomarkers |
| url | https://ieeexplore.ieee.org/document/10149847/ |
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