Computer aided interactive remote diagnosis using self-organizing maps

T. Vörös; Z. Keresztényi; Cs Fazekas; J. Laczkó

doi:10.1109/IEMBS.2004.1403899

Computer aided interactive remote diagnosis using self-organizing maps

T. Vörös^*, Z. Keresztényi, Cs Fazekas, J. Laczkó

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract (may include machine translation)

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.

Original language	English
Pages (from-to)	3190-3193
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	26
DOIs	https://doi.org/10.1109/IEMBS.2004.1403899
State	Published - 2004
Externally published	Yes
Event	Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: 1 Sep 2004 → 5 Sep 2004

Keywords

Neural network
Objective diagnosis
Parkinson's Disease
Self-organizing map

Access to Document

10.1109/IEMBS.2004.1403899

Cite this

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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.",

keywords = "Neural network, Objective diagnosis, Parkinson's Disease, Self-organizing map",

author = "T. V{\"o}r{\"o}s and Z. Kereszt{\'e}nyi and Cs Fazekas and J. Laczk{\'o}",

year = "2004",

doi = "10.1109/IEMBS.2004.1403899",

language = "English",

volume = "26",

pages = "3190--3193",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

note = "Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 ; Conference date: 01-09-2004 Through 05-09-2004",

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TY - JOUR

T1 - Computer aided interactive remote diagnosis using self-organizing maps

AU - Vörös, T.

AU - Keresztényi, Z.

AU - Fazekas, Cs

AU - Laczkó, J.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Neural network

KW - Objective diagnosis

KW - Parkinson's Disease

KW - Self-organizing map

UR - https://www.scopus.com/pages/publications/11144305196

U2 - 10.1109/IEMBS.2004.1403899

DO - 10.1109/IEMBS.2004.1403899

M3 - Conference article

AN - SCOPUS:11144305196

SN - 0589-1019

VL - 26

SP - 3190

EP - 3193

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

Y2 - 1 September 2004 through 5 September 2004

ER -

Computer aided interactive remote diagnosis using self-organizing maps

Abstract (may include machine translation)

Keywords

Access to Document

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