Researchers at Florida Atlantic University's College of Engineering and Computer Science in Boca Raton have developed an algorithm- and sensor-based system that can monitor Parkinson's disease patients' responses to medication.
According to a news release, in a study published in Medical Engineering and Physics, the researchers present the wearable motion sensors, which are able to detect changes in patients' motor fluctuations. These medication "on" and "off" fluctuations present in the majority of Parkinson's patients over time, and determine the frequency and dosage of medication.
In the study, patients performed daily activities while wearing the sensors on their wrist and ankle. The algorithm was reportedly able to distinguish between "on" and "off" states with 90 percent accuracy, making AI-powered solutions like the sensors a more practical solution to motor fluctuation monitoring than self-reporting, which is often unreliable, and frequent in-clinic examinations, which may not be possible for all patients.
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