Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Suwicha Jirayucharoensak"'
Publikováno v:
JMIR Serious Games, Vol 9, Iss 2, p e26872 (2021)
BackgroundThe aging population is one of the major challenges affecting societies worldwide. As the proportion of older people grows dramatically, so does the number of age-related illnesses such as dementia-related illnesses. Preventive care should
Externí odkaz:
https://doaj.org/article/cb9d187736344ccabe96b853a9e1e3d2
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Automatic emotion recognition is one of the most challenging tasks. To detect emotion from nonstationary EEG signals, a sophisticated learning algorithm that can represent high-level abstraction is required. This study proposes the utilization of a d
Externí odkaz:
https://doaj.org/article/253c4feaf1f8450ea306845cca235d42
Publikováno v:
JMIR Serious Games
JMIR Serious Games, Vol 9, Iss 2, p e26872 (2021)
JMIR Serious Games, Vol 9, Iss 2, p e26872 (2021)
Background The aging population is one of the major challenges affecting societies worldwide. As the proportion of older people grows dramatically, so does the number of age-related illnesses such as dementia-related illnesses. Preventive care should
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4199885e3412418b9adb28d0050823d
https://pubmed.ncbi.nlm.nih.gov/34128816
https://pubmed.ncbi.nlm.nih.gov/34128816
BACKGROUND The aging population is one of the major challenges affecting societies worldwide. As the proportion of older people grows dramatically, so does the number of age-related illnesses such as dementia-related illnesses. Preventive care should
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3139956836e9aa52ddbf70db3c7866bb
https://doi.org/10.2196/preprints.26872
https://doi.org/10.2196/preprints.26872
Publikováno v:
Clinical Interventions in Aging
Suwicha Jirayucharoensak,1,2 Pasin Israsena,1 Setha Pan-ngum,2 Solaphat Hemrungrojn,3 Michael Maes3 1Neural Signal Processing Research Team, Artificial Intelligence Research Unit, National Electronics and Computer Technology Center, Pathum Thani 1212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66117b2526e5d03b5345717c520666f5
https://pubmed.ncbi.nlm.nih.gov/30863028
https://pubmed.ncbi.nlm.nih.gov/30863028
Autor:
Umaporn Udomsubpayakul, Khemika Khemakanok Sudnawa, Vilawan Chirdkiatgumchai, Nichara Ruangdaraganon, Chaiyos Khongkhatithum, Suwicha Jirayucharoensak, Pasin Israsena
Publikováno v:
Pediatrics international : official journal of the Japan Pediatric Society. 60(9)
Background Neurofeedback (NF) is an operant conditioning procedure that trains participants to self-regulate brain activity. NF is a promising treatment for attention-deficit/hyperactivity disorder (ADHD), but there have been only a few randomized co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36cee19876974d4084879496e81c2d43
https://pubmed.ncbi.nlm.nih.gov/29931709
https://pubmed.ncbi.nlm.nih.gov/29931709
Publikováno v:
The Scientific World Journal
The Scientific World Journal, Vol 2014 (2014)
The Scientific World Journal, Vol 2014 (2014)
Automatic emotion recognition is one of the most challenging tasks. To detect emotion from nonstationary EEG signals, a sophisticated learning algorithm that can represent high-level abstraction is required. This study proposes the utilization of a d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a3e29505844fb0723ebefdb2caefde4
https://pubmed.ncbi.nlm.nih.gov/25258728
https://pubmed.ncbi.nlm.nih.gov/25258728
Publikováno v:
PervasiveHealth
There is a strong relationship between sustained attention and cognitive performance. The ability to sustain attention potentially leads to enhance cognitive functions. Attention Training provides a promising alternative therapy to enhance cognitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d83a06041b353413dc629e58c777b28
https://doi.org/10.4108/icst.pervasivehealth.2014.255448
https://doi.org/10.4108/icst.pervasivehealth.2014.255448
Publikováno v:
The 6th 2013 Biomedical Engineering International Conference.
Online EEG artifact suppression system is a crucial function of real-time Brain Computer Interface (BCI) applications. EEG artifacts significantly affect the accuracy of feature extraction and data classification for estimating cognitive states in Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc958d1438ec6ca21e4de10fd8f6849
https://doi.org/10.1109/bmeicon.2013.6687708
https://doi.org/10.1109/bmeicon.2013.6687708