Heat detection in precurser of tennis elbow and other joint injuries

Abstract: Background: Joint injuries are a complex matter. Due to the low blood flow to the tendons and ligaments, they take months or even years to heal; some fail to heal. This can be devastating for the elite athlete as well as for the labour worker or everyday person. Today, the devices that can detect an upcoming inflammation or injury, cost 15 000 US dollars and more. A cheaper technology would increase the access. This project is investigating the possibility to detect an upcoming inflammation through measuring the local skin temperature. Method: A model of an arm was built in Comsol Multiphysics, where a tennis elbow (lateral epicondylitis) was simulated through local temperature increase. Clinical tests were pursued on two healthy subjects, in order to gain knowledge on how the skin temperature behaves on healthy subjects. Results: At an internal temperature increase in the LE of 0.25 K, a temperature difference on the skin of 0.18 K was detected in the model. The clinical tests on healthy subjects indicated a correlation between the temperatures on and around the elbow joint. Discussion: The model results does not include any error sources, such as deviation in room temperature and factors affecting the subject´s body temperature, such as time of day, eating and exercising routines. The clinical tests show a pattern of the temperature distribution on and around the elbow joint, in healthy subjects. The fact that a pattern is present, is a presumption enabling to find deviations, caused by upcoming inflammation. Conclusion: The model is indicating that a local temperature increase in the LE is detectable at the skin surface. The clinical test indicates that the noise in the temperature data of a healthy person, is small enough to enable to detect a local temperature deviation. At a local skin temperature increase of more than 0.5 K, the results are indicating that the deviation is detectable. Analysing the model data, 0.5 K in skin temperature increase would mean a local temperature increase at the LE of approximately 0.7 K. This is before the stage of inflammation according to literature, which occurs at an increase of 1.5 to 2.2 K. Further studies would be interesting to make, in purpose of developing an affordable device that can detect if an inflammation is about to occur, and thereby enable the subject to stop the course. A prototype should be developed in order to make tests on more subjects. The equine industry is also a target group – the prototype may therefore be developed to fit both humans and horses.