A neural network approach for the auto matic selection of a complex of rehabilitation exercises

Butsenko, M. O.; Afanasieva, I. V.; Golian, N. V.; Kameniuk, N.

Публікація:
A neural network approach for the auto matic selection of a complex of rehabilitation exercises

dc.contributor.author	Butsenko, M. O.
dc.contributor.author	Afanasieva, I. V.
dc.contributor.author	Golian, N. V.
dc.contributor.author	Kameniuk, N.
dc.date.accessioned	2023-06-10T17:37:00Z
dc.date.available	2023-06-10T17:37:00Z
dc.date.issued	2021
dc.description.abstract	This article is devoted to solving the problem of automatic selection of a set of rehabilitation exercises during injuries, considering the state of the human cardiovascular system through the use of neural networks. To solve this problem, it was necessary to choose one of two classical approaches – multiclass classification or multilabel classification, each of which solves the problem of data classification through its own algorithm, and use the selected neural network architecture to create a software system. While working on this system, it was also necessary to solve certain problems related to each of these approaches (the need for a large sample due to the large number of exercises that the system should recommend) or a specific approach (inability to select multiple exercises at once – for Multiclass Classification, lower productivity and the number of supported programming languages – for Multilabel Classification). Samples of different sizes (from 1 million records and more) were used to train the neural network, which were generated through a self-written program that generated a given number of records and wrote them to a .CSV (commaseparated values) file.
dc.identifier.citation	A neural network approach for the auto matic selection of a complex of rehabilitation exercises / M. O. Butsenko, I. V. Afanasieva, N. V. Golian, N. Kameniuk // Бионика интеллекта : научно-технический журнал. – 2021. – № (96). – С. 50–55.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/23320
dc.language.iso	en
dc.publisher	ХНУРЭ
dc.subject	analy sis
dc.subject	exercise
dc.subject	multiclass classification
dc.subject	software system
dc.title	A neural network approach for the auto matic selection of a complex of rehabilitation exercises
dc.type	Article
dspace.entity.type	Publication