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Digital pain mapping for diagnostic support in prostate-related conditions: A wearable torso sensing system and a pilot patient-level classification study
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DOI：10.1016/j.bspc.2026.111199.png)
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Abstract
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• A wearable torso sensing system enables digital pain mapping on the body. • Pain location and perceived depth were recorded as a depth-aware point cloud. • All pain indications are preserved without reducing the pain map to descriptors. • Patient-level prediction aggregates class probabilities across pain-cloud points. • Pilot results suggest torso pain patterns may support condition classification.
Keywords:
Digital pain mapping
Wearable sensing
Depth-aware pain representation
Torso pain
Prostate-related conditions
Point-cloud
Machine learning
Patient-level classification
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