Prototype of a system for collecting inertial data with a focus in Parkinson's disease

  • Wanghley Martins IFB
  • Fábio Henrique Oliveira IFB
DOI: https://doi.org/10.5753/encompif.2020.11062

Abstract


Currently, the diagnosis and monitoring of people affected by neurodegenerative diseases are made subjectively. Parkinson's disease (PD), for example, is a neurodegenerative disease that affects the motor part of the individual. The evaluation of PD usually is done through scales based on questionnaires. Thus, this research is dedicated to the study and development of a computational system capable of performing the collection, transmission and visual presentation of data related to the human movement, in order to assist the diagnosis and monitoring of PD.

Keywords: Parkinson’s disease, Wearable system, Signal processing, Biomedical Engineering

References

Baumann, C. R. (2012). Epidemiology, diagnosis and differential diagnosis in parkinson’s disease tremor. Parkinsonism and Related Disorders.

Jankovic, J. (2008). Parkinson’s disease: clinical features and diagnosis. Journal of Neurology, Neurosurgery & Psychiatry, 79:368–376.

Keijsers, N. L. W.; Horstink, M. W. I. M. . G. S. C. A. M. (2003). Online monitoring of dyskinesia in patients with parkinson’s disease. Engineering in Medicine and Biology Magazine, pages 96–103.

Lauren C. Benson, Christian A. Clermont, E. R. (2018). The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review. Elsevier.
Published
2020-06-30
How to Cite

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MARTINS, Wanghley; OLIVEIRA, Fábio Henrique. Prototype of a system for collecting inertial data with a focus in Parkinson's disease. In: NATIONAL COMPUTING MEETING OF FEDERAL INSTITUTES (ENCOMPIF), 7. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 17-20. ISSN 2763-8766. DOI: https://doi.org/10.5753/encompif.2020.11062.