| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2021 |
| Язык | английский |
|
Кугуракова Влада Владимировна, автор
|
|
Madrigal Omar Correa , автор
Vega Alieski Veliz , автор
|
| Библиографическое описание на языке оригинала |
Vega, A.V., Madrigal, O.C., & Kugurakova, V.V. Fuzzy Control Model to Determine the Score in Virtual Reality-Based Appendectomy Practices // Lecture Notes in Networks and Systems. 2021. Vol.232. P. 899-906. |
| Аннотация |
Virtual Reality simulators allow surgical training in a safe and controlled environment. Through simulation, procedures can be repeated until a certain level of skill is acquired. This paper presents a fuzzy logic model implemented separately from the Virtual Reality simulator so that it can be used from other simulators. Multiple linear regression is applied for training using a Python library. The model is part of a self-adaptive model for a Virtual Reality-based surgery simulator. ? 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Ключевые слова |
Appendectomy, Fuzzy logic, Surgery, Virtual reality |
| Название журнала |
Lecture Notes in Networks and Systems
|
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=260860 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Кугуракова Влада Владимировна |
ru_RU |
| dc.contributor.author |
Madrigal Omar Correa |
ru_RU |
| dc.contributor.author |
Vega Alieski Veliz |
ru_RU |
| dc.date.accessioned |
2021-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2021-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2021 |
ru_RU |
| dc.identifier.citation |
Vega, A.V., Madrigal, O.C., & Kugurakova, V.V. Fuzzy Control Model to Determine the Score in Virtual Reality-Based Appendectomy Practices // Lecture Notes in Networks and Systems. 2021. Vol.232. P. 899-906. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=260860 |
ru_RU |
| dc.description.abstract |
Lecture Notes in Networks and Systems |
ru_RU |
| dc.description.abstract |
Virtual Reality simulators allow surgical training in a safe and controlled environment. Through simulation, procedures can be repeated until a certain level of skill is acquired. This paper presents a fuzzy logic model implemented separately from the Virtual Reality simulator so that it can be used from other simulators. Multiple linear regression is applied for training using a Python library. The model is part of a self-adaptive model for a Virtual Reality-based surgery simulator. ? 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
Appendectomy |
ru_RU |
| dc.subject |
Fuzzy logic |
ru_RU |
| dc.subject |
Surgery |
ru_RU |
| dc.subject |
Virtual reality |
ru_RU |
| dc.title |
Fuzzy Control Model to Determine the Score in Virtual Reality-Based Appendectomy Practices |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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