| Форма представления | Зарубежные монографии |
| Год публикации | 2017 |
| Язык | английский |
|
Русанова Инна Александровна, автор
Таюрский Дмитрий Альбертович, автор
|
| Библиографическое описание на языке оригинала |
The Fractal Analysis of the Images and Signals in Medical Diagnostics/ D.A.Tayurskii and I.A.Rusanova// - Fractal Analysis, Applications in Health Sciences and Social Sciences, Dr. Fernando Brambila (Ed.) ISBN 978-953-51-3214-1, InTech, 2017. - Chapter 3. - P. 57-86.
|
| Аннотация |
In the present chapter, we summarize our results concerning fractal analysis of some medical data. The aim of this study is to identify the inherent human body ?chaotic? dynamics and insufficient disclosure of the physical essence of the processes observed, depending on the extent of developing a pathology that is characterized by a decrease or increase in the degree of complexity and as a consequence?randomness, for which, in some cases, hidden fractal. The proposed approach based on identifying the presence of the properties of self-similarity can be useful in preliminary clinical trials for the diagnosis of cancerous epithelial diseases, blood, and liver in the initial stage, the analysis of digital images, the structure of correlations biomedical parameters, as well as in the study of pathologies of the central nervous system?the neurological, neurodegenerative disorders, psychiatric disorders. |
| Ключевые слова |
fractal dimension, EEG signals, magnetoencephalography signals, photo- sensitive epilepsy, malignant tissue, leukemia, brain-computer |
| URL |
https://www.intechopen.com/books/fractal-analysis-applications-in-health-sciences-and-social-sciences/the-fractal-analysis-of-the-images-and-signals-in-medical-diagnostics |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=161853 |
| Файлы ресурса | |
|
|
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Русанова Инна Александровна |
ru_RU |
| dc.contributor.author |
Таюрский Дмитрий Альбертович |
ru_RU |
| dc.date.accessioned |
2017-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2017-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2017 |
ru_RU |
| dc.identifier.citation |
The Fractal Analysis of the Images and Signals in Medical Diagnostics/ D.A.Tayurskii and I.A.Rusanova// - Fractal Analysis, Applications in Health Sciences and Social Sciences, Dr. Fernando Brambila (Ed.) ISBN 978-953-51-3214-1, InTech, 2017. - Chapter 3. - P. 57-86.
|
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=161853 |
ru_RU |
| dc.description.abstract |
In the present chapter, we summarize our results concerning fractal analysis of some medical data. The aim of this study is to identify the inherent human body ?chaotic? dynamics and insufficient disclosure of the physical essence of the processes observed, depending on the extent of developing a pathology that is characterized by a decrease or increase in the degree of complexity and as a consequence?randomness, for which, in some cases, hidden fractal. The proposed approach based on identifying the presence of the properties of self-similarity can be useful in preliminary clinical trials for the diagnosis of cancerous epithelial diseases, blood, and liver in the initial stage, the analysis of digital images, the structure of correlations biomedical parameters, as well as in the study of pathologies of the central nervous system?the neurological, neurodegenerative disorders, psychiatric disorders. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
fractal dimension |
ru_RU |
| dc.subject |
EEG signals |
ru_RU |
| dc.subject |
magnetoencephalography signals |
ru_RU |
| dc.subject |
photo- sensitive epilepsy |
ru_RU |
| dc.subject |
malignant tissue |
ru_RU |
| dc.subject |
leukemia |
ru_RU |
| dc.subject |
brain-computer |
ru_RU |
| dc.title |
The Fractal Analysis of the Images and Signals in Medical Diagnostics |
ru_RU |
| dc.type |
Зарубежные монографии |
ru_RU |
|
EN 
中文 
ES 
Карта сайта
