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Diagnosing neurological diseases with sensors in clothes


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 (NatMed 2023; Online Jan 19) and Duchenne muscular dystrophy on Mondays from the University of Bayreuth (NatMed 2023; Online Jan 19).

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 efficacy and make any necessary adjustments,” says Professor Aldo Faisal from the University of Bayreuth. (Father)

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