Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Evi Septiana Pane"'
Autor:
Diah Risqiwati, Adhi Dharma Wibawa, Evi Septiana Pane, Eko Mulyanto Yuniarno, Wardah Rahmatul Islamiyah, Mauridhi Hery Purnomo
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract A relaxed state is essential for effective hypnotherapy, a crucial component of mental health treatments. During hypnotherapy sessions, neurologists rely on the patient’s relaxed state to introduce positive suggestions. While EEG is a wide
Externí odkaz:
https://doaj.org/article/1e2d6b926a964a1c935ca6bf1b06f75e
Peningkatan Akurasi Pengenalan Emosi pada Sinyal Electroencephalograpy Menggunakan Multiclass Fisher
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 7, Iss 4, Pp 437-443 (2018)
Sinyal EEG memiliki korelasi yang signifikan terhadap emosi bila dibandingkan dengan modalitas lainnya. Dikarenakan akurasi yang rendah pada pengenalan emosi melalui sinyal EEG, makalah ini mengusulkan metode reduksi dimensi pada sinyal EEG untuk men
Externí odkaz:
https://doaj.org/article/7d39f5483f63463687f89d02c5994141
Publikováno v:
2022 Fifth International Conference on Vocational Education and Electrical Engineering (ICVEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d35ad2cbf47f6ede37ce9de5b84a2b2
https://doi.org/10.1109/icvee57061.2022.9930381
https://doi.org/10.1109/icvee57061.2022.9930381
Publikováno v:
2021 International Seminar on Intelligent Technology and Its Applications (ISITIA).
Rehabilitation is the essential key to restore motoric function and brain activity for stroke patients. Electroencephalograph (EEG) has been used widely as an alternative tool to monitor the progress of stroke rehabilitation because EEG represents th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be8171c7774adf47d62a346103ce08fa
https://doi.org/10.1109/isitia52817.2021.9502250
https://doi.org/10.1109/isitia52817.2021.9502250
Autor:
Adhi Dharma Wibawa, Evi Septiana Pane, Mauridhi Hery Purnomo, Agnes Estuning Tyas, Diah Risqiwati, Wardah Rahmatul Islamiyah
Publikováno v:
2020 International Seminar on Intelligent Technology and Its Applications (ISITIA).
Mental fatigue is one kind of exhaustion that occurs in a person's mental state. Mental fatigue will arise if the brain is continuously forced to work. This mental fatigue is also common to happen to the senior high school student, especially in Indo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1424e27f4013d5a1c484a26dc81988c0
https://doi.org/10.1109/isitia49792.2020.9163760
https://doi.org/10.1109/isitia49792.2020.9163760
Autor:
Mauridhi Hery Purnomo, Evi Septiana Pane, Wardah Rahmatul Islamiyah, Dwi Rahmat Mulyanto, Adhi Dharma Wibawa
Publikováno v:
2019 International Seminar on Intelligent Technology and Its Applications (ISITIA).
Nowadays, Stroke has been the second most cause of deaths in the world after Ischaemic heart disease. Rehabilitation of stroke patients after the attack is still the most effective way of restoring the patients to normal. However, most of the rehabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a8329adde855a6a977b9eb5e033e82d
https://doi.org/10.1109/isitia.2019.8937131
https://doi.org/10.1109/isitia.2019.8937131
Publikováno v:
2019 International Seminar on Intelligent Technology and Its Applications (ISITIA).
Signature is the representation of a personal identity that written on a selected medium. Signature can describe people’s personality, which includes character, potential, motivation, emotional stability, mental state, intellectual tendencies, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87fad1439ab1a68f03b82bd57f508370
https://doi.org/10.1109/isitia.2019.8937180
https://doi.org/10.1109/isitia.2019.8937180
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI). 7
Sinyal EEG memiliki korelasi yang signifikan terhadap emosi bila dibandingkan dengan modalitas lainnya. Dikarenakan akurasi yang rendah pada pengenalan emosi melalui sinyal EEG, makalah ini mengusulkan metode reduksi dimensi pada sinyal EEG untuk men
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67464657c5bc76c36ae7d58382ac40de
https://doi.org/10.22146/jnteti.v7i4.462
https://doi.org/10.22146/jnteti.v7i4.462
Publikováno v:
2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM).
EEG has been used by many applications recently, not only in the field of medicine but also telemarketing, games, and cybernetics. Measuring brain signal by involving EEG is complicated and delicate work because it involves many channels, frequency b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a205a2196a271a30fb6958dd1cb18b2
https://doi.org/10.1109/cenim.2018.8711196
https://doi.org/10.1109/cenim.2018.8711196
Publikováno v:
Cognitive processing. 20(4)
For emotion recognition using EEG signals, the challenge is improving accuracy. This study proposes strategies that concentrate on incorporating emotion lateralization and ensemble learning approach to enhance the accuracy of EEG-based emotion recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73768a0846e54e18b273f2cac3c8b1cd
https://pubmed.ncbi.nlm.nih.gov/31338704
https://pubmed.ncbi.nlm.nih.gov/31338704