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pro vyhledávání: '"Berrenur Saylam"'
Autor:
Berrenur Saylam, Özlem Durmaz İncel
Publikováno v:
Diagnostics, Vol 14, Iss 5, p 501 (2024)
This study investigates the prediction of mental well-being factors—depression, stress, and anxiety—using the NetHealth dataset from college students. The research addresses four key questions, exploring the impact of digital biomarkers on these
Externí odkaz:
https://doaj.org/article/bf7800559fdf481e87b58877533e39e3
Autor:
Berrenur Saylam, Özlem Durmaz İncel
Publikováno v:
Sensors, Vol 23, Iss 21, p 8987 (2023)
Wearable devices have become ubiquitous, collecting rich temporal data that offers valuable insights into human activities, health monitoring, and behavior analysis. Leveraging these data, researchers have developed innovative approaches to classify
Externí odkaz:
https://doaj.org/article/bc98555aaf5244fbaa6abd0bbd4752cf
Autor:
Berrenur Saylam, Özlem Durmaz İncel
Publikováno v:
Berrenur Saylam
With the development of wearable technologies, a new kind of healthcare data has become valuable as medical information. These data provide meaningful information regarding an individual's physiological and psychological states, such as activity leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee74a2b4c581f0eb92bb45ee5d1a5da5
Brain computer interface (BCI) is a system which allows communication between human and machine. BCI systems that control wheelchairs, robotic arms etc. by means of brain activity are being developed to facilitate the daily life of people who can not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4117bb195249afc9b40b0c84875eaec3
https://avesis.gsu.edu.tr/publication/details/629979b9-d300-4011-aeb7-c58aae970ebb/oai
https://avesis.gsu.edu.tr/publication/details/629979b9-d300-4011-aeb7-c58aae970ebb/oai