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Scope of physiological and behavioural pain assessment techniques in children - a review
Saranya Devi Subramaniam1, Brindha Doss1, Lakshmi Deepika Chanderasekar2
1Department of Biomedical Engineering, PSG College of Technology, Coimbatore 641004, India.
Insights
Objective pain assessment in children is crucial. This review explores automatic coding techniques and physiological signals like facial expressions and electrocardiogram to objectively measure pain, especially in children with cognitive disorders.
Area of Science:
- Biomedical Engineering
- Pain Medicine
- Pediatrics
Background:
- Current pain assessment methods (self-report, scales) are subjective and limited in children with cognitive impairments.
- These methods are also inefficient for precise analgesic dosage titration post-surgery.
- There is a need for objective, automated pain evaluation tools.
Purpose of the Study:
- To highlight the demand for automatic pain coding techniques.
- To review objective methods for pain assessment in children.
- To explore alternative approaches beyond traditional pain scales.
Main Methods:
- Review of existing literature on objective pain indicators.
- Analysis of techniques utilizing facial expressions (RGB imaging) and thermal imaging.
- Examination of physiological signals: electrocardiogram, skin conductance, body temperature, surgical pleth index, pupillary reflex dilation, analgesia nociception index, photoplethysmography, and perfusion index.
Main Results:
- Facial expressions and thermal imaging offer visual pain cues.
- Physiological signals provide quantifiable data for pain monitoring.
- Several validated physiological indicators show promise for objective pain measurement.
Conclusions:
- Objective pain assessment in children, particularly those with cognitive disorders, requires advanced techniques.
- Automatic coding and analysis of physiological signals present a viable alternative to subjective pain scales.
- Further research into these objective methods can improve pain management and treatment efficacy in pediatric patients.
Abstract:
Pain is an unpleasant subjective experience. At present, clinicians are using self-report or pain scales to recognise and monitor pain in children. However, these techniques are not efficient to observe the pain in children having cognitive disorder and also require highly skilled observers to measure pain. Using these techniques it is also difficult to choose the analgesic drug dosages to the patients after surgery. Thus, this conceptual work explains the demand for automatic coding techniques to evaluate pain and also it documents some evidence of techniques that act as an alternative approach for objectively determining pain in children. In this review, some good indicators of pain in children are explained in detail; they are facial expressions from an RGB image, thermal image and also feature from well proven physiological signals such as electrocardiogram, skin conductance, body temperature, surgical pleth index, pupillary reflex dilation, analgesia nociception index, photoplethysmography, perfusion index etc.
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