Machine learning leads to novel way to track tremor severity in Parkinson’s patients

Machine learning leads to novel way to track tremor severity in Parkinson’s patients
Physical exams only provide a snapshot of a Parkinson's patient's daily tremor experience. Scientists have developed algorithms that, combined with wearable sensors, can continuously monitor patients at home or elsewhere to estimate the severity rating of their tremors based on the way that it manifests itself in movement patterns. This approach has the potential to provide clinicians with a full ... read more
Source: Science DailyPublished on 2019-10-30