Prospective clinical study for assessing real-time objective pain using a signal processing algorithm in conjunction with wearable forehead sensors
Authors' conclusion
Overall, we successfully distinguished between pain levels
Study context
- Population
- Women in labor receiving neuraxial analgesia
- Participants
- 130 women
- Exposure
- ForeSight Elite vs CereVu
- Outcome
- Discrimination of pain levels (ROC AUC) vs patient NRS rating as ground truth
Methodological detailsdiagnostic accuracy
- Diagnostic accuracy
Main finding
As reported in the abstract
ROC AUC for pain level discrimination
| Strategy | AUC no/mild vs severe | AUC no/mild/moderate vs severe | AUC no/mild vs moderate/severe |
|---|---|---|---|
| ForeSight Elite | 0.95 | 0.90 | 0.88 |
| CereVu | 0.93 | 0.86 | 0.87 |
AUC no/mild vs severe
ForeSight Elite0.95
CereVu0.93
AUC no/mild/moderate vs severe
ForeSight Elite0.90
CereVu0.86
AUC no/mild vs moderate/severe
ForeSight Elite0.88
CereVu0.87
Observational data: associations, not effects.
Original publication
Prospective clinical study for assessing real-time objective pain using a signal processing algorithm in conjunction with wearable forehead sensors. J Clin Anesth. Published 22 May 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →