Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tugce Kantar"'
Publikováno v:
IEEE Access, Vol 11, Pp 120997-121012 (2023)
Diagnosis of obstructive sleep apnea (OSA) from speech has become a popular research area in recent years, which can be an alternative way to the application difficulties in polysomnography (PSG). The promising results obtained in our previous study,
Externí odkaz:
https://doaj.org/article/6fa2d5f1ee1743bdb4c2975d1bfca9b1
Autor:
Ugur, Tugce Kantar, Erdamar, Aykut
Publikováno v:
In Computer Methods and Programs in Biomedicine May 2019 173:131-138
Akademický článek
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Autor:
Aykut Erdamar, Tugce Kantar Ugur
Publikováno v:
Computer methods and programs in biomedicine. 173
Background and objective Electroencephalographic arousal is a transient waveform that instantaneously happens in sleep as an inherent component. It has distinctive amplitude and frequency features. However, it is visually difficult to distinguish aro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf514fe8ac8ef401611ed27556b3eb4
https://pubmed.ncbi.nlm.nih.gov/31046987
https://pubmed.ncbi.nlm.nih.gov/31046987
Autor:
Mehmet Feyzi Aksahin, Busra Kubra Karaca, Erkin Kilic, Tugce Kantar, Burcu Oltu, Aykut Erdamar
Publikováno v:
SIU
Cardiovascular diseases are the major cause of death in the world. Early diagnosis of heart diseases provide an effective treatment. Heart diseases can be diagnosed using data obtained from heart sounds. Heart sounds are listened by a physician with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7cf04c787a32caf367682fcdd2b86ed
https://doi.org/10.1109/siu.2018.8404450
https://doi.org/10.1109/siu.2018.8404450
Publikováno v:
SIU
Sleep, is in the event of temporary loss of consciousness. Sleep and wakefulness causes some different kind of potential changes in brain. Transient waveforms observed in sleep electroencephalography are structures with specific amplitude and frequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd43ad5146a8b834387e37739476b641
https://doi.org/10.1109/siu.2018.8404572
https://doi.org/10.1109/siu.2018.8404572
Publikováno v:
SIU
In the diagnosis of sleep disorders, analyzing the patient's sleep stage scores is the basic clinical procedure. The signals obtained from the polysomnography device are used in the sleep stage scoring studies. The polysomnography device records the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8227ed84237eacb55659973a0b246002
https://doi.org/10.1109/siu.2018.8404489
https://doi.org/10.1109/siu.2018.8404489
Autor:
Tugce Kantar, Aykut Erdamar
Publikováno v:
SIU
Sleep is a state that can be characterized by the electrical oscillations of nerve cells, where brain activity is more stable than waking. Transient waveforms observed in sleep electroencephalography are structures with specific amplitude and frequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d47855cf7c4ec20a4786bff54e76be4
https://doi.org/10.1109/siu.2017.7960311
https://doi.org/10.1109/siu.2017.7960311
Publikováno v:
SIU
The diagnosis of the epilepsy diseases are made by physicians with analyzing the electroencephalography (EEG) records. The epilepsy diseases can be determined with observing the main properties of before and on-time seizure signals in time and freque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0300fb7154f8f5d2c1de3e439a168b23
https://doi.org/10.1109/siu.2016.7495834
https://doi.org/10.1109/siu.2016.7495834
Publikováno v:
2014 18th National Biomedical Engineering Meeting.
At the present time, the main method used in the diagnosis of heart disease is the electrocardiography (ECG). The purpose of this study is design a decision support algorithm which automatically detect the normal sinus rhythm or other pathologies. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794cf64010da36daef6e1e697d89c221
https://doi.org/10.1109/biyomut.2014.7026342
https://doi.org/10.1109/biyomut.2014.7026342