We found the highest effect sizes ( r = 0.56) for the facial EMG.Ĭonclusion: The results of the present study, findings from research based on the BioVid and X-ITE pain datasets, staff and patient acceptance indicate that it would now be appropriate to develop an APR prototype. Results: Almost every biosignal feature is able to distinguish significantly between ‘ before’ and ‘ after’ pain medication. Biosignals were recorded and all doses of analgesic sedations were carefully documented until they were transferred back to the general ward. After the procedure the patients were transferred to intermediate care. Methods: N = 38 patients scheduled for surgical intervention where prospectively recruited. Explicitly, the significance of the facial EMG regarding the operationalization of the effect of analgesia was tested. In the present study, specific physiological signals were analyzed to determine, whether a distinction can be made between pre-and post-analgesic administration in a postoperative setting. In this context, facial electromyography (EMG) represents an alternative to recording facial expressions via video in terms of data security. Primary, the automated monitoring of pain during the onset of analgesic sedation has the highest relevance in intensive care medicine. Hereby, pain responses are captured using mainly video cams and biosignal sensors. Automated pain recognition (APR) could make a significant contribution here.

2Department of Anaesthesiology and Intensive Care Medicine, University Hospital of Ulm, Ulm, Germanyīackground: In the clinical context, the assessment of pain in patients with inadequate communication skills is standardly performed externally by trained medical staff.

1Department of Psychosomatic Medicine and Psychotherapy, University Hospital of Ulm, Ulm, Germany.Sascha Gruss 1 *, Matthias Schmid 1, Steffen Walter 1, Benedikt Schick 2, Lena Holler 1 and Eberhard Barth 2

Will pain meds affect an emg test