Although proper pain evaluation is mandatory for establishing the appropriate therapy, self‐
reported pain level assessment has several limitations. Data‐driven artificial intelligence (AI) …

A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique
widely used in the healthcare domain to extract valuable health-related information, eg …

Critically ill patients often lack cognitive or communicative functions, making it challenging to
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …

Pain, a pervasive global health concern, affects a large segment of population worldwide.
Accurate pain assessment remains a challenge due to the limitations of conventional self …

This study aims to design a time-continuous pain level assessment system for
temporomandibular joint therapy. Our objectives cover verifying literature suggestions on …

Access to large amounts of data is essential for successful machine learning research.
However, there is insufficient data for many applications, as data collection is often …

eHealth systems deliver critical digital healthcare and wellness services for users by
continuously monitoring physiological and contextual data. eHealth applications use multi …

Background Acute pain management is critical in postoperative care, especially in
vulnerable patient populations that may be unable to self-report pain levels effectively …

Pain represents a multifaceted sensory and emotional experience often linked to tissue
damage, bearing substantial healthcare costs and profound effects on patient well-being …

Objective Evaluating pain in individuals with dementia can be difficult when verbal
communication is limited. Vocalization has emerged as a potential avenue for assessments …