Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD
Само за регистроване кориснике
2014
Аутори
Đurić-Jovičić, MilicaBobić, 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 документуАпстракт
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 diseaseИзвор:
2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers, 2014, 541-544Издавач:
- IEEE, New York
Финансирање / пројекти:
Институција/група
Institut za medicinska istraživanjaTY - 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 . .