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Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD

Само за регистроване кориснике
2014
Аутори
Đurić-Jovičić, Milica
Bobić, Vladislava
Ječmenica-Lukić, Milica
Petrović, Igor
Radovanović, Saša M.
Jovičić, Nenad S.
Kostić, Vladimir S.
Popović, Mirjana B.
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документу
Апстракт
In this paper we propose a methodology for objective evaluation and classification of repetitive finger tapping performance based solely on its spectral behavior. We used miniature sensor system with gyroscope placed over fingertip of index finger for finger tapping recording. The study included 20 subjects 10 patients with Parkinson's disease (PD) and 10 age and gender matched healthy controls. Acquired data were preprocessed using continuous wavelet transformation (CWT), and their coefficients were used in further analysis. Based on cross-sections of CWT in time and frequency, we introduced parameters describing characteristic tapping frequencies and vigor of the performed movements, its decrement and isolated characteristic frequency areas. These parameters were further used in classification for distinction between PD patients and controls, achieving 95% classification accuracy.
Кључне речи:
repetitive finger tapping / continuous wavelet transformation / Parkinson's disease
Извор:
2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers, 2014, 541-544
Издавач:
  • IEEE, New York
Финансирање / пројекти:
  • Ефекти асистивних система у неурорехабилитацији: опоравак сензорно-моторних функција (RS-175016)

DOI: 10.1109/TELFOR.2014.7034466

WoS: 000392912300112

Scopus: 2-s2.0-84962318663
[ Google Scholar ]
8
4
URI
http://rimi.imi.bg.ac.rs/handle/123456789/573
Колекције
  • Radovi istraživača / Researchers' publications
Институција/група
Institut za medicinska istraživanja
TY  - CONF
AU  - Đurić-Jovičić, Milica
AU  - Bobić, Vladislava
AU  - Ječmenica-Lukić, Milica
AU  - Petrović, Igor
AU  - Radovanović, Saša M.
AU  - Jovičić, Nenad S.
AU  - Kostić, Vladimir S.
AU  - Popović, Mirjana B.
PY  - 2014
UR  - http://rimi.imi.bg.ac.rs/handle/123456789/573
AB  - In this paper we propose a methodology for objective evaluation and classification of repetitive finger tapping performance based solely on its spectral behavior. We used miniature sensor system with gyroscope placed over fingertip of index finger for finger tapping recording. The study included 20 subjects 10 patients with Parkinson's disease (PD) and 10 age and gender matched healthy controls. Acquired data were preprocessed using continuous wavelet transformation (CWT), and their coefficients were used in further analysis. Based on cross-sections of CWT in time and frequency, we introduced parameters describing characteristic tapping frequencies and vigor of the performed movements, its decrement and isolated characteristic frequency areas. These parameters were further used in classification for distinction between PD patients and controls, achieving 95% classification accuracy.
PB  - IEEE, New York
C3  - 2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers
T1  - Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD
EP  - 544
SP  - 541
DO  - 10.1109/TELFOR.2014.7034466
ER  - 
@conference{
author = "Đurić-Jovičić, Milica and Bobić, Vladislava and Ječmenica-Lukić, Milica and Petrović, Igor and Radovanović, Saša M. and Jovičić, Nenad S. and Kostić, Vladimir S. and Popović, Mirjana B.",
year = "2014",
abstract = "In this paper we propose a methodology for objective evaluation and classification of repetitive finger tapping performance based solely on its spectral behavior. We used miniature sensor system with gyroscope placed over fingertip of index finger for finger tapping recording. The study included 20 subjects 10 patients with Parkinson's disease (PD) and 10 age and gender matched healthy controls. Acquired data were preprocessed using continuous wavelet transformation (CWT), and their coefficients were used in further analysis. Based on cross-sections of CWT in time and frequency, we introduced parameters describing characteristic tapping frequencies and vigor of the performed movements, its decrement and isolated characteristic frequency areas. These parameters were further used in classification for distinction between PD patients and controls, achieving 95% classification accuracy.",
publisher = "IEEE, New York",
journal = "2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers",
title = "Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD",
pages = "544-541",
doi = "10.1109/TELFOR.2014.7034466"
}
Đurić-Jovičić, M., Bobić, V., Ječmenica-Lukić, M., Petrović, I., Radovanović, S. M., Jovičić, N. S., Kostić, V. S.,& Popović, M. B.. (2014). Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD. in 2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers
IEEE, New York., 541-544.
https://doi.org/10.1109/TELFOR.2014.7034466
Đurić-Jovičić M, Bobić V, Ječmenica-Lukić M, Petrović I, Radovanović SM, Jovičić NS, Kostić VS, Popović MB. Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD. in 2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers. 2014;:541-544.
doi:10.1109/TELFOR.2014.7034466 .
Đurić-Jovičić, Milica, Bobić, Vladislava, Ječmenica-Lukić, Milica, Petrović, Igor, Radovanović, Saša M., Jovičić, Nenad S., Kostić, Vladimir S., Popović, Mirjana B., "Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD" in 2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers (2014):541-544,
https://doi.org/10.1109/TELFOR.2014.7034466 . .

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