Bayreuth. Sensors in clothing, combined with an algorithm, can simplify the diagnosis of diseases that cause changes in movement behavior. About two case studies of Friedreich ataxia (Night with 2023 Online Jan 19th) and Duchenne muscular dystrophy on Mondays from the University of Bayreuth (Night with 2023 Online Jan 19th).

For case studies, research groups have used sensors embedded in clothing that record patients’ daily body movements. The algorithm processes the signals and brings them into an overall context.

Digital biomarkers are superior to established methods

The University of Bayreuth reports that this new algorithm system can identify distinct movement patterns so small they remain invisible to even experienced neurologists. From a diagnostic standpoint, these digital biomarkers are already outperforming established clinical methods for diagnosing neurodegenerative diseases, and disease diagnosis is about twice as fast.

In addition, the algorithm can predict the further course of the disease with high accuracy. “Once a treatment is started, our biomarkers can help check its effectiveness and make any necessary adjustments,” says Professor Aldo Faysal of the University of Bayreuth. (Father)

See also  Increased interest in research

LEAVE A REPLY

Please enter your comment!
Please enter your name here