A Vision-Based System for Movement Analysis in Medical Applications: The Example of Parkinson Disease
Само за регистроване кориснике
2015
Аутори
Spasojević, SofijaSantos-Victor, Jose
Ilić, Tihomir V.
Milanović, Slađan
Potkonjak, Veljko
Rodić, Aleksandar
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
We present a vision-based approach for analyzing a Parkinson patient's movements during rehabilitation treatments. We describe therapeutic movements using relevant quantitative measurements, which can be applied both for diagnosis and monitoring of the disease progress. Since our long-term goal is to develop an affordable and portable system, suitable for home usage, we use the Kinect device for data acquisition. All recorded exercises are approved by neurologists and therapists and designed to examine the presence of characteristic symptoms caused by neurological disorders. In this study, we focus on Parkinson's patients in the early stages of the disease. Our approach underlines relevant rehabilitation measurements and allows to determine which ones are more informative for separating healthy from non-healthy subjects. Finally, we propose the symmetry ratio, well known in motor control, as a novel feature that can be extracted from rehabilitation exercises and used in the decision-ma...king (diagnosis support) and monitoring procedures.
Кључне речи:
Movement analysis / Medical applications / KinectИзвор:
Computer Vision Systems (ICVS 2015), 2015, 9163, 424-434Издавач:
- Springer-Verlag Berlin, Berlin
Финансирање / пројекти:
- Истраживање и развој амбијентално интелигентних сервисних робота антропоморфних карактеристика (RS-MESTD-Technological Development (TD or TR)-35003)
- Развој робота као средства за помоћ у превазилажењу тешкоћа у развоју деце (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-44008)
DOI: 10.1007/978-3-319-20904-3_38
ISSN: 0302-9743
WoS: 000364183300038
Scopus: 2-s2.0-84949035037
Институција/група
Institut za medicinska istraživanjaTY - CONF AU - Spasojević, Sofija AU - Santos-Victor, Jose AU - Ilić, Tihomir V. AU - Milanović, Slađan AU - Potkonjak, Veljko AU - Rodić, Aleksandar PY - 2015 UR - http://rimi.imi.bg.ac.rs/handle/123456789/619 AB - We present a vision-based approach for analyzing a Parkinson patient's movements during rehabilitation treatments. We describe therapeutic movements using relevant quantitative measurements, which can be applied both for diagnosis and monitoring of the disease progress. Since our long-term goal is to develop an affordable and portable system, suitable for home usage, we use the Kinect device for data acquisition. All recorded exercises are approved by neurologists and therapists and designed to examine the presence of characteristic symptoms caused by neurological disorders. In this study, we focus on Parkinson's patients in the early stages of the disease. Our approach underlines relevant rehabilitation measurements and allows to determine which ones are more informative for separating healthy from non-healthy subjects. Finally, we propose the symmetry ratio, well known in motor control, as a novel feature that can be extracted from rehabilitation exercises and used in the decision-making (diagnosis support) and monitoring procedures. PB - Springer-Verlag Berlin, Berlin C3 - Computer Vision Systems (ICVS 2015) T1 - A Vision-Based System for Movement Analysis in Medical Applications: The Example of Parkinson Disease EP - 434 SP - 424 VL - 9163 DO - 10.1007/978-3-319-20904-3_38 ER -
@conference{ author = "Spasojević, Sofija and Santos-Victor, Jose and Ilić, Tihomir V. and Milanović, Slađan and Potkonjak, Veljko and Rodić, Aleksandar", year = "2015", abstract = "We present a vision-based approach for analyzing a Parkinson patient's movements during rehabilitation treatments. We describe therapeutic movements using relevant quantitative measurements, which can be applied both for diagnosis and monitoring of the disease progress. Since our long-term goal is to develop an affordable and portable system, suitable for home usage, we use the Kinect device for data acquisition. All recorded exercises are approved by neurologists and therapists and designed to examine the presence of characteristic symptoms caused by neurological disorders. In this study, we focus on Parkinson's patients in the early stages of the disease. Our approach underlines relevant rehabilitation measurements and allows to determine which ones are more informative for separating healthy from non-healthy subjects. Finally, we propose the symmetry ratio, well known in motor control, as a novel feature that can be extracted from rehabilitation exercises and used in the decision-making (diagnosis support) and monitoring procedures.", publisher = "Springer-Verlag Berlin, Berlin", journal = "Computer Vision Systems (ICVS 2015)", title = "A Vision-Based System for Movement Analysis in Medical Applications: The Example of Parkinson Disease", pages = "434-424", volume = "9163", doi = "10.1007/978-3-319-20904-3_38" }
Spasojević, S., Santos-Victor, J., Ilić, T. V., Milanović, S., Potkonjak, V.,& Rodić, A.. (2015). A Vision-Based System for Movement Analysis in Medical Applications: The Example of Parkinson Disease. in Computer Vision Systems (ICVS 2015) Springer-Verlag Berlin, Berlin., 9163, 424-434. https://doi.org/10.1007/978-3-319-20904-3_38
Spasojević S, Santos-Victor J, Ilić TV, Milanović S, Potkonjak V, Rodić A. A Vision-Based System for Movement Analysis in Medical Applications: The Example of Parkinson Disease. in Computer Vision Systems (ICVS 2015). 2015;9163:424-434. doi:10.1007/978-3-319-20904-3_38 .
Spasojević, Sofija, Santos-Victor, Jose, Ilić, Tihomir V., Milanović, Slađan, Potkonjak, Veljko, Rodić, Aleksandar, "A Vision-Based System for Movement Analysis in Medical Applications: The Example of Parkinson Disease" in Computer Vision Systems (ICVS 2015), 9163 (2015):424-434, https://doi.org/10.1007/978-3-319-20904-3_38 . .