title: Computer aided interactive remote diagnosis using self-organizing maps.
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.
authors.affiliation: Department of Bioengineering, Research Institute for Technical Physics and Material Sciences, Budapest, Hungary.
authors.forename: T
authors.initials: T
authors.lastname: Vörös
authors.forename: Z
authors.initials: Z
authors.lastname: Keresztényi
authors.forename: Cs
authors.initials: C
authors.lastname: Fazekas
authors.forename: J
authors.initials: J
authors.lastname: Laczkó