Study: Wearable sensors more accurately track Parkinson’s disease progression than traditional observation

In a study from Oxford University, researchers found that by using a combination of wearable sensor data and machine learning algorithms the progression of Parkinson’s disease can be monitored more accurately than in traditional clinical observation. Monitoring movement data collected by sensor technology may not only improve predictions about disease progression but also allows for more precise diagnoses.

Parkinson’s disease is a neurological condition that affects motor control and movement. Although there is currently no cure, early intervention can …

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