"More than 60,000 people in Denmark are affected by RSI and wear and tear injuries in their arms and shoulders. These injuries may be very painful, and they may be suffered by all kinds of people – office and factory workers, slaughterhouse workers, bus drivers and many others," says Søren Würtz, partner of the start-up company PreCure ApS.
"Pain and discomfort are frequently only noticed when the tissue has been damaged. This is where our product – PreCure Elbow – comes in. It helps people to adopt new, more appropriate working positions before any serious damage occurs," he explains.
PreCure Elbow is made up of a fabric sleeve equipped with sensors, a smartphone app and a cloud solution based on Microsoft Azure. The sleeve records muscle signals and other data and transmits them to the cloud, using the smartphone app as an intermediary.
In a cloud platform, machine learning algorithms analyse the data and return alerts and tips to the user's smartphone when the user is performing "incorrect", potentially harmful movements or subjects themselves to the same stress for too long, for example.
"I wish you could always keep an eye on things..."
As a physiotherapist with more than 20 years of experience, Søren Würtz has provided advice to thousands of people suffering from wear and tear injuries. He has found that variation and good physical working positions have a major impact.
"One day, a patient said she wished I could always keep an eye on things and tell her when she was moving in ways that could cause her more injury and pain. And that was how the idea for PreCure Elbow came about. Because that is exactly what the product does – with the effective assistance of the machine learning algorithms in Microsoft Azure," says Søren Würtz.