Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Roxana Toderean"'
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7406 (2024)
A dangerous side effect of diabetes that can significantly lower quality of life and raise the death rate of diabetic individuals is diabetic autonomic neuropathy. It is essential to identify and anticipate this disease early on for prompt interventi
Externí odkaz:
https://doaj.org/article/2cf93cdcecd041f588f78b60f32ead9e
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11871 (2021)
Humans are facing a devastating epidemic of metabolic syndrome that is linked to the worldwide dramatic increase in obesity and diabetes. Significant evidence suggests that the intestinal microbiota plays a major role in the pathogenesis of metabolic
Externí odkaz:
https://doaj.org/article/cb4e0172e847410e8f364276fad24abd
Publikováno v:
Frontiers in Endocrinology, Vol 10 (2019)
There are more than 2 billion overweight and obese individuals worldwide, surpassing for the first time, the number of people affected by undernutrition. Obesity and its comorbidities inflict a heavy burden on the global economies and have become a s
Externí odkaz:
https://doaj.org/article/7a99b37d26534950928cace05ad377dd
Autor:
Roxana Toderean
Publikováno v:
2020 International Conference on Development and Application Systems (DAS).
Sensorimotor rhythms are represented by mu rhythm with 8-12Hz frequency band and beta rhythm with the 12-30Hz frequency range. The movement or preparation of the movement is typically accompanied by a decrease of the mu and beta rhythms, especially i
Publikováno v:
2019 E-Health and Bioengineering Conference (EHB).
Gut microbiota is intrinsically linked to modulation of physiological behavior of the host in both health and disease. The microDiab project, implemented at "Stefan cel Mare" University in Suceava, Romania has, as one of its objectives, the character
Publikováno v:
2019 E-Health and Bioengineering Conference (EHB).
This paper presents a comparison between different methods of features extraction and classification applied to electroencephalographic signals recorded during motor imagery tasks. For features extraction, two methods were used: multiresolution wavel
Publikováno v:
2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME).
The incidence of type 2 diabetes is increasing throughout the world. For the first time in the history, there are 422 million diabetes patients, according to the World Health Organization (WHO) [1]. Medical records currently account for 350 million o
Publikováno v:
Soft Computing Applications ISBN: 9783319625201
Parkinson’s disease (PD) is the most common degenerative movement disorder and a progressive nervous system disorder. It affects body movement, memory, speaking and daily mental and physical activities, being directly connected to the dopaminergic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10115d8d8262a2245276cf2049d307a3
https://doi.org/10.1007/978-3-319-62521-8_29
https://doi.org/10.1007/978-3-319-62521-8_29
Autor:
Iuliana Chiuchisan, Roxana Toderean
Publikováno v:
2017 E-Health and Bioengineering Conference (EHB).
An approach of Brain Computer Interface (BCI) is to replace the motor function. The motor imagery itself is a common strategy for motor rehabilitation. The aims of this paper are the extraction and classification of sensorimotor rhythms, mu rhythm (8
Publikováno v:
2017 E-Health and Bioengineering Conference (EHB).
Diabetes is one of the most common metabolic diseases and the statistics show that one in eleven adults has diabetes, but one in two adults with diabetes is undiagnosed, and in 2040 one in 10 adults will have diabetes. In this paper is proposed a hyb