PHYSIOLOGICAL FEATURE EXTRACTION AND FUSION TO ASSIST IN THE DIAGNOSIS OF POST-TRAUMATIC STRESS DISORDER

摘要

Post-traumatic stress disorder (PTSD), and other anxiety disorders, are diagnosed via clinical interviews in which subjective self-reports of traumatic events and associated experiences are discussed with a mental health professional. The system and methods described herein classify and diagnose patients as suffering from anxiety disorders by measuring objective physiological measures, such as inter-heartbeat interval and skin conductance. The system measures various physiological measures and then extracts features from the physiological measures. A diagnosis is then made by classifying the extracted features using one of a neural network, Bayesian network, or a support vector machine.

主权项

1. A method for detecting a stress disorder:
exposing a subject to a stimulus; collecting, with a plurality of sensors, a plurality of physiological signals during the subject's exposure to the stimuli, the plurality of physiological signals comprising at least an interbeat interval signal and a skin conductance signal; extracting a feature from each of the plurality of physiological signals; and classifying the subject into one of a plurality of diagnostic categories based on a function of the extracted features.