Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress

Egon van den Broek; Frans van der Sluis; Ton Dijkstra

doi:10.1109/ACII.2009.5349554

Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress

Egon van den Broek, Frans van der Sluis, Ton Dijkstra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

8 Downloads (Pure)

Abstract

A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.

Original language	English
Title of host publication	Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Editors	Jeffrey Cohn, Anton Nijholt, Maja Pantic
Place of Publication	Los Alamitos
Publisher	IEEE
Pages	381-386
Number of pages	6
Volume	1
ISBN (Print)	978-1-4244-4800-5
DOIs	https://doi.org/10.1109/ACII.2009.5349554
Publication status	Published - 9 Sept 2009
Event	3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - De Rode Hoed, Amsterdam, Netherlands Duration: 10 Sept 2009 → 12 Sept 2009 Conference number: 3

Conference

Conference	3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009
Abbreviated title	ACII
Country/Territory	Netherlands
City	Amsterdam
Period	10/09/09 → 12/09/09

Keywords

METIS-260129
EWI-17149
IR-69481

Access to Document

10.1109/ACII.2009.5349554

Cite this

van den Broek, E., van der Sluis, F., & Dijkstra, T. (2009). Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress. In J. Cohn, A. Nijholt, & M. Pantic (Eds.), Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 (Vol. 1, pp. 381-386). IEEE. https://doi.org/10.1109/ACII.2009.5349554

van den Broek, Egon ; van der Sluis, Frans ; Dijkstra, Ton. / Therapy Progress Indicator (TPI) : Combining speech parameters and the subjective unit of distress. Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. editor / Jeffrey Cohn ; Anton Nijholt ; Maja Pantic. Vol. 1 Los Alamitos : IEEE, 2009. pp. 381-386

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title = "Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress",

abstract = "A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.",

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van den Broek, E, van der Sluis, F & Dijkstra, T 2009, Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress. in J Cohn, A Nijholt & M Pantic (eds), Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. vol. 1, IEEE, Los Alamitos, pp. 381-386, 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009, Amsterdam, Netherlands, 10/09/09. https://doi.org/10.1109/ACII.2009.5349554

Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress. / van den Broek, Egon; van der Sluis, Frans; Dijkstra, Ton.
Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. ed. / Jeffrey Cohn; Anton Nijholt; Maja Pantic. Vol. 1 Los Alamitos: IEEE, 2009. p. 381-386.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N2 - A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.

AB - A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.

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ER -

van den Broek E, van der Sluis F, Dijkstra T. Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress. In Cohn J, Nijholt A, Pantic M, editors, Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. Vol. 1. Los Alamitos: IEEE. 2009. p. 381-386 doi: 10.1109/ACII.2009.5349554

Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress

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