Computer aided diagnosis for mental health care: On the clinical validation of sensitive machines
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
This study explores the feasibility of sensitive machines; that is, machines with empathic abilities, at least to some extent. A signal processing and machine learning pipeline is presented that is used to analyze data from two studies in which 25 Post-Traumatic Stress Disorder (PTSD) patients participated. The feasibility of speech as a stress detector was validated in a clinical setting, using the Subjective Unit of Distress (SUD). 13 statistical parameters were derived from five speech features, namely: amplitude, zero crossings, power, high-frequency power, and pitch. To achieve a low dimensional representation, a subset of 28 parameters was selected and, subsequently, compressed into 11 principal components (PC). Using a Multi-Layer Perceptron neural network (MLP), the set of 11 PC were mapped upon 9 distinct quantizations of the SUD. The MLP was able to discriminate between 2 stress levels with 82.4% accuracy and up to 10 stress levels with 36.3% accuracy. With stress baptized as being the black death of the 21st century, this work can be conceived as an important step towards computer aided mental health care.
Original language | English |
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Title of host publication | HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics |
Number of pages | 6 |
Publication date | 2012 |
Pages | 493-498 |
ISBN (Print) | 9789898425881 |
Publication status | Published - 2012 |
Event | HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics - Vilamoura, Algarve, Portugal Duration: 1 Feb 2012 → 4 Feb 2012 |
Conference
Conference | HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics |
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Land | Portugal |
By | Vilamoura, Algarve |
Periode | 01/02/2012 → 04/02/2012 |
Sponsor | Inst. Syst. Technol. Inf., Control Commun. (INSTICC) |
Series | HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics |
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- Artificial neural network, Computer aided diagnostics (CAD), Mental health care, Speech, Stress, Validation
Research areas
ID: 337215884