Abstract

The monitoring of facial expressions to assess pain intensity provides away to determine the need for pain medication in patients who are not able to do so verbally. In this study two methods for facial expression analysis - Facial Action Coding System (FACS) and electromyography (EMG) of the zygomaticus muscle and corrugator supercilii - were compared to verify the possibility of using EMG for pain monitoring. Eighty-seven subjects received painful heat stimuli via athermode on the right forearm in two identical experimental sequences - with and without EMG recording. With FACS, pain threshold and pain tolerance could be distinguished reliably. Multiple regression analyses indicated that some facial expressions had apredictive value. Correlations between FACS and pain intensity and EMG and pain intensity were high, indicating acloser relationship for EMG and increasing pain intensity. For EMG and FACS, alow correlation was observed, whereas EMG correlates much better with pain intensity. Results show that the facial expression analysis based on FACS represents acredible method to detect pain. Because of the expenditure of time and personal costs, FACS cannot be used properly until automatic systems work accurately. The use of EMG seems to be helpful in the meantime to enable continuous pain monitoring for patients with acute post-operative pain.

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