Pain management is a significant clinical challenge, particularly because pain is subjective and difficult to measure objectively. Current pain assessment relies on patient self-reporting, which can be unreliable, especially for patients who cannot communicate effectively (infants, elderly with dementia, etc.).
Painometry introduces an objective pain assessment system using physiological signals captured from wearable sensors. By analyzing biosignals such as galvanic skin response, heart rate variability, and facial expressions, we can provide healthcare providers with objective pain level estimates.
This technology has important applications in post-operative care, chronic pain management, and pediatric medicine where objective pain assessment can improve treatment outcomes.