Back

Preliminary exploration of facial electromyographic indices of pain in people undergoing hand surgery

Panchevski, F.; Mavridou, I.; Gjoreski, H.; Gjoreski, M.; Kiprijanovska, I.; Stankoski, S.; Nduka, C.; Broulidakis, J.

2022-11-29 health informatics
10.1101/2022.11.23.22282655 medRxiv
Show abstract

Assessing pain levels in real-world conditions, such as during active surgery, can be challenging. Self-reports, often considered globally as ground-truth can be unreliable, episodic and ill-suited to routine monitoring or use with non-verbal patients. Lately, physiological measurements have been explored as an objective method for assessing the symptoms of pain increase on the body. We investigated the effects of pain (high pain) using facial mask - emteqPRO, equipped with seven facial electromyographic (fEMG) sensors. Our aims were to: (i) investigate the efficacy of continuous physiological monitoring within surgery at a hospital environment, and (ii) to produce initial findings and show how pain increase affects the data from fEMG sensors.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.