The software also detected the ‘sequence effect’ in both iRBD and Parkinson’s patients—a progressive decline in movement speed and amplitude during repetitive actions. This effect could serve as an ...

Researchers have developed a smart pen designed not only for writing, but as a potential tool to make early detection of ...

Using machine learning to analyze video recordings of individuals performing simple movements, researchers developed a method to automaticaly quanitfy motor systems in early-stage Parkinson's disease ...

In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing ...

This pen truly is mightier than the sword. A team of researchers at UCLA has developed a high-tech diagnostic pen that can detect signs of Parkinson’s disease with over 96% accuracy, offering a ...

Detecting early rising Parkinson's disease (PD) symptoms could improve treatment outcomes by enabling earlier treatment interventions. In a new eNeuro paper, Daniil Berezhnoi, from Georgetown ...

Monitoring and automatically identifying the symptoms of Parkinson’s disease patients can be achieved using just a single soft wearable sensor placed on the back of the hand, according to an ...

Share on Pinterest Does Parkinson’s disease have different subtypes? Image credit: Olga Sibirskaya/Stocksy. A machine-learning study at Weill Cornell Medicine was able to classify Parkinson’s disease ...

Detecting early rising Parkinson’s disease (PD) symptoms could improve treatment outcomes by enabling earlier treatment interventions. In a new eNeuro paper, Daniil Berezhnoi, from Georgetown ...