Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Iman Mousavian"'
Autor:
Majid Eslami, Iman Mousavian, Farideh Eskandari Farsani, Reyhane Dadgostar, Mohamad Asadollahi, Negar Rahimi, Atefeh Hatami, Samaneh Mohammadkhani
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 9, Iss 1, Pp 1-11 (2022)
Introduction: Rehabilitation is one of the priorities that should be performed on patients with stroke injuries or accidents leading to disability. This study aimed to evaluate the equipment and designed virtual reality environment to improve the tre
Externí odkaz:
https://doaj.org/article/fc928e84df964af4b952cdc5d414cb49
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 1, Pp 144-159 (2020)
Fetal electrocardiogram (fECG) monitoring is a beneficial method for assessing fetal health and diagnosing the fetal cardiac condition during pregnancy. In this study, an algorithm is proposed to extract fECG from maternal abdominal signals based on
Externí odkaz:
https://doaj.org/article/5a292dfd4cd7464aa3099cfa197e7437
Publikováno v:
تحقیقات بازار یابی نوین, Vol 4, Iss 1, Pp 194-173 (2014)
Partaking the movement in reaching a more sustainable planet, organizations should reconsider their marketing strategies according to the social and environmental impacts. Even though, attaining sustainability would become a serious challenge for the
Externí odkaz:
https://doaj.org/article/6346d4b3a34d420592fb433b953c7fb5
Autor:
Ali Asghar Kamali Kashab, Alireza Seifzadeh, Davood Toghraie, Ali Mokhtarian, Seyed Iman Mousavian
Publikováno v:
The European Physical Journal Plus. 137
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2090196a3e7cbb143d9b7d58f2c7c242
https://doi.org/10.1140/epjp/s13360-022-03192-7
https://doi.org/10.1140/epjp/s13360-022-03192-7
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 1, Pp 144-159 (2020)
Fetal electrocardiogram (fECG) monitoring is a beneficial method for assessing fetal health and diagnosing the fetal cardiac condition during pregnancy. In this study, an algorithm is proposed to extract fECG from maternal abdominal signals based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::780ab2e480cb09398c01946a68000661
https://doi.org/10.3934/mbe.2020008
https://doi.org/10.3934/mbe.2020008
Publikováno v:
ICSIPA
The automatic recognition of speech language is called diagnosis of language by signals. These systems often make decision by comparing the privilege of speech signal dependence to various languages. A new method has been applied to improve the resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c177940b8d3f30aa4cce03b8e4d5c88
https://doi.org/10.1109/icsipa.2011.6144165
https://doi.org/10.1109/icsipa.2011.6144165