ArticlePloS one2018
Head movements and postures as pain behavior.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 43 citations in OpenAlex.
- Editorial: Advancements in equine pain management.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Review
- Automated Electrodermal Activity and Facial Expression Analysis for Continuous Pain Intensity Monitoring on the X-ITE Pain Database.Life (Basel, Switzerland) · 2023Article
- Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.Pain research & management · 2023Review
- Development, refinement, and validation of an equine musculoskeletal pain scale.Frontiers in pain research (Lausanne, Switzerland) · 2023Article
- Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit.Frontiers in digital health · 2022Review
- How to objectively assess and observe maladaptive pain behaviors in clinical rehabilitation: a systematic search and review.Archives of physiotherapy · 2021Review
- Automatic vs. Human Recognition of Pain Intensity from Facial Expression on the X-ITE Pain Database.Sensors (Basel, Switzerland) · 2021Article
- Facial features and head movements obtained with a webcam correlate with performance deterioration during prolonged wakefulness.Attention, perception & psychophysics · 2021Article
- [From external assessment of pain to automated multimodal measurement of pain intensity : Narrative review of state of research and clinical perspectives].Schmerz (Berlin, Germany) · 2020Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pain assessment can benefit from observation of pain behaviors, such as guarding or facial expression, and observational pain scales are widely used in clinical practice with nonverbal patients. However, little is known about head movements and postures in the context of pain. In this regard, we analyze videos of three publically available datasets. The BioVid dataset was recorded with healthy participants subjected to painful heat stimuli. In the BP4D dataset, healthy participants performed a cold-pressor test and several other tasks (meant to elicit emotion). The UNBC dataset videos show shoulder pain patients during range-of-motion tests to their affected and unaffected limbs. In all videos, participants were sitting in an upright position. We studied head movements and postures that occurred during the painful and control trials by measuring head orientation from video over time, followed by analyzing posture and movement summary statistics and occurrence frequencies of typical postures and movements. We found significant differences between pain and control trials with analyses of variance and binomial tests. In BioVid and BP4D, pain was accompanied by head movements and postures that tend to be oriented downwards or towards the pain site. We also found differences in movement range and speed in all three datasets. The results suggest that head movements and postures should be considered for pain assessment and research. As additional pain indicators, they possibly might improve pain management whenever behavior is assessed, especially in nonverbal individuals such as infants or patients with dementia. However, in advance more research is needed to identify specific head movements and postures in pain patients.
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