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Proceedings Paper

Cloud storage based mobile assessment facility for patients with post-traumatic stress disorder using integrated signal processing algorithm
Author(s): Jessie R. Balbin; Jasmine Nadja J. Pinugu; Abigail Joy S. Basco; Myla B. Cabanada; Patrisha Melrose V. Gonzales; Juan Carlos C. Marasigan
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Paper Abstract

The research aims to build a tool in assessing patients for post-traumatic stress disorder or PTSD. The parameters used are heart rate, skin conductivity, and facial gestures. Facial gestures are recorded using OpenFace, an open-source face recognition program that uses facial action units in to track facial movements. Heart rate and skin conductivity is measured through sensors operated using Raspberry Pi. Results are stored in a database for easy and quick access. Databases to be used are uploaded to a cloud platform so that doctors have direct access to the data. This research aims to analyze these parameters and give accurate assessment of the patient.

Paper Details

Date Published: 19 June 2017
PDF: 5 pages
Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104431K (19 June 2017);
Show Author Affiliations
Jessie R. Balbin, Mapúa Institute of Technology (Philippines)
Jasmine Nadja J. Pinugu, Mapúa Institute of Technology (Philippines)
Abigail Joy S. Basco, Mapúa Institute of Technology (Philippines)
Myla B. Cabanada, Mapúa Institute of Technology (Philippines)
Patrisha Melrose V. Gonzales, Mapúa Institute of Technology (Philippines)
Juan Carlos C. Marasigan, Mapúa Institute of Technology (Philippines)

Published in SPIE Proceedings Vol. 10443:
Second International Workshop on Pattern Recognition
Xudong Jiang; Masayuki Arai; Guojian Chen, Editor(s)

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