Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Vladislava Bobic"'
Publikováno v:
2020 28th Telecommunications Forum (TELFOR).
In this paper an open-source application for real-time gait analysis using Xsens inertial measurement units is presented. The application enables real-time data acquisition, visualization, gait segmentation, spatio-temporal parameter estimation and r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4faf37667164266d83295616b7bcc4fb
https://doi.org/10.1109/telfor51502.2020.9306636
https://doi.org/10.1109/telfor51502.2020.9306636
Autor:
Milica Badža, Milica Đurić-Jovičić, Nikola Šolaja, Vladimir S. Kostic, Vladislava Bobic, Minja Belić
Publikováno v:
Clinical neurology and neurosurgery. 184
Artificial intelligence, specifically machine learning, has found numerous applications in computer-aided diagnostics, monitoring and management of neurodegenerative movement disorders of parkinsonian type. These tasks are not trivial due to high int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea2a183264a2a6551f9b13c7b855cf7f
https://pubmed.ncbi.nlm.nih.gov/31351213
https://pubmed.ncbi.nlm.nih.gov/31351213
Autor:
Igor Petrović, Milica Đurić-Jovičić, Nataša Dragašević-Mišković, Kosta Dimitrijević, Sasa Radovanovic, Marina Svetel, Iva Stankovic, Vladislava Bobic, Milutin Kostić
Publikováno v:
Clinical Neurology & Neurosurgery
Objective The goal of this study was to analyze how depression associated with Parkinson’s disease (PD) affected gait variability in these patients using a dual-task paradigm. Additionally, the dependency of the executive functions and the impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23f39aa20f1c7f3a29a69de6f2aa5b07
https://doi.org/10.1016/j.clineuro.2020.106324
https://doi.org/10.1016/j.clineuro.2020.106324
Autor:
Mirjana Popovic, Vladimir S. Kostic, Nataa T. Dragaevic, Milica D. Djuric-Jovieic, Vladislava Bobic, Saa M. Radovanovic
Publikováno v:
EMBC
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S
Stride segmentation represents important but challenging part of the gait analysis. Different methods and sensor systems have been proposed for detection of markers for segmentation of gait sequences. This task is often performed with wearable sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099b177aaa0a78acae3dbfd5be197f51
https://doi.org/10.1109/embc.2018.8512836
https://doi.org/10.1109/embc.2018.8512836
Autor:
Mirjana Popovic, Vladimir S. Kostic, Nataša Dragašević, Vladislava Bobic, Goran Kvascev, Milica Djuric-Jovicic
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 11
Sensors, Vol 19, Iss 11, p 2644 (2019)
Sensors
Volume 19
Issue 11
Sensors, Vol 19, Iss 11, p 2644 (2019)
Wearable sensors and advanced algorithms can provide significant decision support for clinical practice. Currently, the motor symptoms of patients with neurological disorders are often visually observed and evaluated, which may result in rough and su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d534941d970301b1aa0ef1c7065d45
https://doi.org/10.3390/s19112644
https://doi.org/10.3390/s19112644
Autor:
Nathanaël Jarrassé, S Vladimir Kostic, N Igor Petrovic, Nataša Dragašević, Milica Jecmenica-Lukic, N Vladislava Bobic, D Milica Djuric-Jovicic, M Sasa Radovanovic
Publikováno v:
Facta Universitatis, Series: Electronics and Energetics
Facta Universitatis, Series: Electronics and Energetics, 2017, 30 (4), pp.585-597. ⟨10.2298/FUEE1704585B⟩
Facta Universitatis-series: Electronics & Energetics
Facta Universitatis, Series: Electronics and Energetics, 2017, 30 (4), pp.585-597. ⟨10.2298/FUEE1704585B⟩
Facta Universitatis-series: Electronics & Energetics
A miniature inertial sensor placed on fingertip of index finger while performing finger tapping test can be used for an objective quantification of finger tapping motion. Temporal and spatial parameters such as cadence, tapping duration, and tapping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac1801f1e924231ebadfcd67fe051a9
https://hal.archives-ouvertes.fr/hal-02109743
https://hal.archives-ouvertes.fr/hal-02109743
Publikováno v:
2016 13th Symposium on Neural Networks and Applications (NEUREL).
In this paper, two neural network based methods were implemented for recognition of images showing 10 hand gestures. Images were available from 24 subjects and captured on two different backgrounds and with several space orientations. Firstly, Histog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5d6af00b1ca66b0a71a2af99450863
https://doi.org/10.1109/neurel.2016.7800104
https://doi.org/10.1109/neurel.2016.7800104
Autor:
Bosko Nikolic, Milica Djuric-Jovicic, Milos Roglic, Nataša Dragašević, Mirjana Djordjevic, Vladislava Bobic
Publikováno v:
2016 13th Symposium on Neural Networks and Applications (NEUREL)
In this paper, a new, serious Kinect-based game for autistic children in Serbia is presented. The main purpose of this game is fine-tuning of motor skills, and performance improvement of basic cognitive tasks through practicing five game categories:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b43cf3443542b59eb417633cea099cf8
https://doi.org/10.1109/neurel.2016.7800105
https://doi.org/10.1109/neurel.2016.7800105
Autor:
Stevica Graovac, Vladislava Bobic
Publikováno v:
2016 24th Telecommunications Forum (TELFOR).
In this paper, eye tracking methodology is presented. It is a commercial camera based system for detection of eye pupil, its trajectory and classification of eye movements that led to the formation of assessed eye path. Methodology was examined on 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e0207772c58148e4fd9bc4b30fb1cbe
https://doi.org/10.1109/telfor.2016.7818800
https://doi.org/10.1109/telfor.2016.7818800
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e14824- (2023)
Background: Parkinson's disease (PD) is the second most common neurodegenerative disorder whose prevalence rises with age, yet clinical diagnosis is still a challenging task due to similar manifestations of other neurodegenerative movement disorders.
Externí odkaz:
https://doaj.org/article/4a30748d5c6349dbac4c177dc52c9c18