Literature DB >> 22357057

A voice-based automated system for PTSD screening and monitoring.

Roger Xu1, Gang Mei, Guangfan Zhang, Pan Gao, Timothy Judkins, Michael Cannizzaro, Jiang Li.   

Abstract

Comprehensive evaluation of PTSD includes diagnostic interviews, self-report testing, and physiological reactivity measures. It is often difficult and costly to diagnose PTSD due to patient access and the variability in symptoms presented. Additionally, potential patients are often reluctant to seek help due to the stigma associated with the disorder. A voice-based automated system that is able to remotely screen individuals at high risk for PTSD and monitor their symptoms during treatment has the potential to make great strides in alleviating the barriers to cost effective PTSD assessment and progress monitoring. In this paper we present a voice-based automated Tele-PTSD Monitor (TPM) system currently in development, designed to remotely screen, and provide assistance to clinicians in diagnosing PTSD. The TPM system can be accessed via a Public Switched Telephone Network (PSTN) or the Internet. The acquired voice data is then sent to a secure server to invoke the PTSD Scoring Engine (PTSD-SE) where a PTSD mental health score is computed. If the score exceeds a predefined threshold, the system will notify clinicians (via email or short message service) for confirmation and/or an appropriate follow-up assessment and intervention. The TPM system requires only voice input and performs computer-based automated PTSD scoring, resulting in low cost and easy field-deployment. The concept of the TPM system was supported using a limited dataset with an average detection accuracy of up to 95.88%.

Entities:  

Mesh:

Year:  2012        PMID: 22357057

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  7 in total

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Authors:  Apiwat Ditthapron; Emmanuel O Agu; Adam C Lammert
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Review 3.  e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD).

Authors:  Alexis Bourla; Stephane Mouchabac; Wissam El Hage; Florian Ferreri
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Review 4.  Automated assessment of psychiatric disorders using speech: A systematic review.

Authors:  Daniel M Low; Kate H Bentley; Satrajit S Ghosh
Journal:  Laryngoscope Investig Otolaryngol       Date:  2020-01-31

5.  A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder.

Authors:  Markus Bertl; Janek Metsallik; Peeter Ross
Journal:  Front Psychiatry       Date:  2022-08-09       Impact factor: 5.435

6.  Patient-centered technological assessment and monitoring of depression for low-income patients.

Authors:  Shinyi Wu; Irene Vidyanti; Pai Liu; Caitlin Hawkins; Magaly Ramirez; Jeffrey Guterman; Sandra Gross-Schulman; Laura Myerchin Sklaroff; Kathleen Ell
Journal:  J Ambul Care Manage       Date:  2014 Apr-Jun

Review 7.  The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review.

Authors:  Madison Milne-Ives; Caroline de Cock; Ernest Lim; Melissa Harper Shehadeh; Nick de Pennington; Guy Mole; Eduardo Normando; Edward Meinert
Journal:  J Med Internet Res       Date:  2020-10-22       Impact factor: 5.428

  7 in total

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