Camera-based Pain Assessment during Surgical Interventions

Abstract

Pain assessment in clinical settings can be a challenging task for clinic staff and patients. An automatic and contactless pain estimation system via facial expression is a decisive advantage. In the following article we present a method for pain classification based on mimic descriptors. To automatically process facial expressions from video data we applied the Facial Action Coding System (FACS). First, we employed a logistic regression model to predict pain using a publicly available database. Second, we utilized this procedure to predict pain in individual intraprocedural patient data. We reached a mean accuracy of 80.94% for the publicly available data and 73.14% for our individual patient data by classifying data as pain and non-pain.

Keywords

• camera-based pain assessment
• facs
• logistic regression
• unbc-mcmaster
• individual patient data