19 June 2017 Cloud storage based mobile assessment facility for patients with post-traumatic stress disorder using integrated signal processing algorithm
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Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104431K (2017) https://doi.org/10.1117/12.2280814
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore
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.
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Jessie R. Balbin, Jessie R. Balbin, Jasmine Nadja J. Pinugu, Jasmine Nadja J. Pinugu, Abigail Joy S. Basco, Abigail Joy S. Basco, Myla B. Cabanada, Myla B. Cabanada, Patrisha Melrose V. Gonzales, Patrisha Melrose V. Gonzales, Juan Carlos C. Marasigan, Juan Carlos C. Marasigan, } "Cloud storage based mobile assessment facility for patients with post-traumatic stress disorder using integrated signal processing algorithm", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104431K (19 June 2017); doi: 10.1117/12.2280814; https://doi.org/10.1117/12.2280814
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