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 ...

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 ...

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

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 ...

Algorithms that can detect subtle changes in a person's voice are emerging as a potential new diagnostic tool for Parkinson's disease, according to researchers from Iraq and Australia. Speech ...

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 ...

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 ...

A new study has revealed promising progress in developing a non-invasive sampling method to detect early signs of Parkinson's disease—up to seven years before motor symptoms appear—by analyzing the ...

Two trained dogs learned to detect Parkinson’s disease by sniffing scent samples from human skin. They were part of a study aiming to improve early diagnosis of the condition. Bumper and Peanut ...

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 ...