Prospective clinical study for assessing real-time objective pain using a signal processing algorithm in conjunction...

Area of Science:

• Biomedical Engineering
• Pain Medicine
• Signal Processing

Background:

• Pain assessment relies heavily on subjective patient self-report using scales like the Numerical Rating Scale (NRS).
• Subjective pain ratings have inherent limitations, necessitating the development of objective pain assessment methods.
• There is a significant need for noninvasive, objective, and real-time pain measurement tools.

Purpose of the Study:

• To evaluate the efficacy of the Real-time Objective Pain Assessment (ROPA) algorithm for objective pain measurement.
• To assess the performance of two wearable sensors utilizing the ROPA algorithm in distinguishing pain levels.
• To establish a foundation for objective pain assessment in clinical settings.

Main Methods:

• A prospective cohort study was conducted with 130 women in labor receiving neuraxial analgesia.
• The Real-time Objective Pain Assessment (ROPA) algorithm was implemented using optical spectrometry and signal processing.
• Two wearable sensors, ForeSight Elite and a novel CereVu Medical forehead sensor, were tested against patient-reported Numerical Rating Scale (NRS) pain ratings.

Main Results:

• The ROPA algorithm demonstrated high accuracy in distinguishing between pain levels using both sensors.
• The ForeSight Elite and CereVu devices achieved receiver operating characteristic area-under-the-curve values ranging from 0.87 to 0.95.
• The algorithm successfully differentiated between various pain severities (no/mild vs. severe, no/mild/moderate vs. severe, no/mild vs. moderate/severe).

Conclusions:

• The Real-time Objective Pain Assessment (ROPA) algorithm, integrated with wearable optical spectrometry sensors, can objectively measure pain in real-time.
• The tested wearable sensors show significant potential for accurate, noninvasive pain assessment.
• Further multi-center clinical validation is planned to confirm the widespread applicability of this objective pain assessment technology.