Adoption of artificial intelligence (AI) by the medical community has long been anticipated, endorsed by a stream of [machine learning](https://www.sciencedirect.com/topics/computer-science/machine-learning) literature showcasing AI systems that …
Resting-state electroencephalography (RSEEG) is a method under consideration as a potential biomarker that could support early and accurate diagnosis of Parkinson’s disease (PD). RSEEG data is often contaminated by signals arising from other …
Parkinson’s Disease (PD) is a progressive chronic disorder with a high misdiagnosis rate. Because finger-tapping tasks correlate with its fine-motor symptoms, they could be used to help diagnose and assess PD. We first designed and developed an …
Current tests of disease status in Parkinson's disease suffer from high variability, limiting their ability to determine disease severity and prognosis. Event-related potentials, in conjunction with machine learning, may provide a more objective …
Computer-assisted quantification and analysis of postural sway may support identifying individuals affected by Parkinson's disease (PD). Balancing, and its associated postural sway, is a complex process that requires the cooperation of several …
We measured postural sway in individuals diagnosed with Parkinson's disease and age-matched controls. Individuals with Parkinson's swayed more, as expected, especially when their eyes were closed. In the people with Parkinson's, sway correlated strongly with cognitive measures, as well as with measures of quality of life and clinical status.
Background: Postural sway may be useful as an objective measure of Parkinson's disease (PD). Existing studies have analyzed many different features of sway using different experimental paradigms. We aimed to determine what features have been used to …