REHABILITATION TRAINING METHOD OF POST INSULT PATIENTS WITH THE HELP OF COMPUTER VISION ALGORITHMS
Vera B Nikishina , Ekaterina A Petrash , Tatyana V Shuteeva , Igor I Nikishin , Elizaveta I Nikishina
Neurology Bulletin ›› 2018, Vol. L ›› Issue (2) : 83 -88.
REHABILITATION TRAINING METHOD OF POST INSULT PATIENTS WITH THE HELP OF COMPUTER VISION ALGORITHMS
The article presents the results of the evaluation of the effectiveness of the rehabilitation training method of neural sampling with the help of computer vision algorithms in comparison with traditional neuropsychological methods of rehabilitative training. Empirically confirmed the increase in accuracy and differentiation of touch, increasing the accuracy of recognition of familiar faces and identification of photos of strangers on a given pattern, as well as the restoration of the integrity of the perception of scene pictures (which indicates the effectiveness of the restoration of Gnostic functions); increase the accuracy and pace of the motor act, as well as the restoration of motor programs.
ischemic stroke / hemispheric localization / profile of lateral organization of the brain in the segment of the leading hand / restorative training by neuroprobe using computer vision algorithms
| [1] |
Дамулин И.В., Екушева Е.В. Клиническое значение феномена нейропластичности при ишемическом инсульте // Анналы клинической и экспериментальной неврологии. 2016. Т. 10, №1. С. 57-64. |
| [2] |
Норман Д. Пластичность мозга. М.: Эксмо, 2011. 544 с. |
| [3] |
Свид. 2017619968 Российская Федерация. Свидетельство о государственной регистрации программы для ЭВМ. Программа по проведению когнитивных тренингов «Визуальная медицина» / В.Б. Никишина, Е.И. Никишина, И.И. Никишин; заявитель и правообладатель ООО «Визми» (RU). - заявл. 18.07.17; опубл. 12.09.17, Реестр программ для ЭВМ. |
| [4] |
Del Din S., Bertoldo A., Sawacha Z. et al. Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study // Journal of NeuroEngineering and Rehabilitation. 2014. №11. Р. 53. http://www.jneuroengrehab.com/content/11/1/53 |
| [5] |
Gye Yeop Kim, Mi Ran Han, Hong Gyun Lee. Effect of Dual-task Rehabilitative Training on Cognitive and Motor Function of Stroke Patients // J. Phys. Ther. Sci. 2014. № 26. Р. 1-6. |
| [6] |
Herbet G. et. al. Mapping neuroplastic potential in brain-damaged patients // Brain. 2016. Vol. 139, Issue 3. P. 829-844. |
| [7] |
Johansen-Berg H., Dawes H., Guy C. et al. Correlation between motor improvements and altered fMRI activity after rehabilitative therapy // Brain. 2002. Vol. 125. P. 2731-2742. |
| [8] |
Okabe N., Shiromoto T., Himi N. et al. Neural network remodeling underlying motor map reorganization induced by rehabilitative training after ischemic stroke // Neuroscience. 2016. October Р. 1-94. doi: http://dx.doi.org/10.1016/j.neuroscience.2016.10.008 |
| [9] |
Steinisch М., Tana M.G., Comani S.A Post-Stroke Rehabilitation System Integrating Robotics, VR and High-Resolution EEG Imaging // IEEE Trans Neural Syst Rehabil Eng. 2013. №21(5). Р. 849-859. DOI: 10.1109/TNSRE.2013.22678512013. |
| [10] |
Traversa R., Cicinelli P., Bassi A. et al. Mapping of motor cortical reorganization after stroke. A brain stimulation study with focal magnetic pulses // Stroke. 1997. №28. Р. 107-111. |
Nikishina V.B., Petrash E.A., Shuteeva T.V., Nikishin I.I., Nikishina E.I.
/
| 〈 |
|
〉 |