Open AccessMeasuring pain
Author(s) -
F Reitz,
Alexandre Nixon Soratto
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1065/18/182006
Subject(s) - subjectivity , medical diagnosis , scale (ratio) , computer science , psychology , graph , artificial intelligence , medicine , pathology , theoretical computer science , geography , epistemology , cartography , philosophy
A system of evaluation and quantification of pain in the human body that considers anatomical, physiological, environmental and psychological measurements of the patients is presented. The measured variables are compiled by algorithms that generate a graph where the pain level is presented in a scale from 0 to 10 called the rtz scale. A report with information and images relevant to the decision making of health professionals, reducing the subjectivity of the diagnoses, is generated. The proposed system represents an advance in the measurement of pain in humans and the rtz scale creates reference parameters for its quantification.