AI Article Synopsis
- A new software tool aids in the objective diagnosis of Parkinson's Disease by analyzing hand exercises performed on a computer mouse.
- Data collected from these exercises will be used for further research on patient status.
- The study recommends using specific parameters, like median and standard deviation values, along with self-organizing feature maps (SOFM) to improve diagnostic accuracy and track daily changes in patients.
Article Abstract
A software tool has been developed to support the objective diagnosis of patients with Parkinson's Disease (PD). Patients completed hand exercises using a personal computer mouse and data has been gathered for further studies. We have analyzed different parameters and suggest using a particular parameter vector containing median and standard deviation values for tracking the daily changes in PD patients' status. Using the classification abilities of self-organizing feature maps (SOFM) we were able to provide support for the diagnostic process.
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| http://dx.doi.org/10.1109/IEMBS.2004.1403899 | DOI Listing |
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