Zobrazeno 1 - 10
of 511
pro vyhledávání: '"Ru-San Tan"'
Autor:
Jie Jun Wong, Jien Sze Ho, Louis L. Y. Teo, Hai Ning Wee, Kee Voon Chua, Jianhong Ching, Fei Gao, Swee Yaw Tan, Ru-San Tan, Jean-Paul Kovalik, Angela S. Koh
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-13 (2024)
Abstract Background We previously reported changes in the serum metabolome associated with impaired myocardial relaxation in an asymptomatic older community cohort. In this prospective parallel-group randomized control pilot trial, we subjected commu
Externí odkaz:
https://doaj.org/article/51a0ad0f56994213962d3f0babbd76a9
Autor:
Sara Bagherzadeh, Ahmad Shalbaf, Afshin Shoeibi, Mahboobeh Jafari, Ru-San Tan, U. Rajendra Acharya
Publikováno v:
IEEE Access, Vol 12, Pp 50949-50965 (2024)
The objective of this paper is to develop a novel emotion recognition system from electroencephalogram (EEG) signals using effective connectivity and deep learning methods. Emotion recognition is an important task for various applications such as hum
Externí odkaz:
https://doaj.org/article/a7fcd399d5854be093f30e78d5f81eba
Autor:
Abigail CC. Chng, Bryan MH. Keng, Xue Fen Teng, Kok Wei Aik, Muhammad Khairulnizar Azman, Larry R. Natividad, Candice SM. Chong, Packrisamy N. Neela, Ru-San Tan, Lohendran Baskaran, Terrance SJ. Chua, Felix YJ. Keng, Angela S. Koh
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29629- (2024)
(a) Background: Technological advancement in the recent years has enabled the application of single photon emission tomography (SPECT) to evaluate myocardial blood flow (MBF). This method offers increased sensitivity in the assessment of coronary hea
Externí odkaz:
https://doaj.org/article/ab59fe1ecb384403ad8b299d11841c97
Autor:
Xiaodan Zhao, Ru-San Tan, Pankaj Garg, Ping Chai, Shuang Leng, Jennifer Ann Bryant, Lynette L. S. Teo, Tee Joo Yeo, Marielle V. Fortier, Ting Ting Low, Ching Ching Ong, Shuo Zhang, Rob J. Van der Geest, John C. Allen, Teng Hong Tan, James W. Yip, Ju Le Tan, Marina Hughes, Sven Plein, Jos J. M. Westenberg, Liang Zhong
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 25, Iss 1, Pp 1-14 (2023)
Abstract Background Advances in four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) have allowed quantification of left ventricular (LV) and right ventricular (RV) blood flow. We aimed to (1) investigate age and sex differences of 4
Externí odkaz:
https://doaj.org/article/75414d2fae8e4bd4bcb7bdb871d27c62
Autor:
Hongzhou Zhang, Shuang Leng, Fei Gao, Jean-Paul Kovalik, Hai Ning Wee, Kee Voon Chua, Jianhong Ching, John C. Allen, Xiaodan Zhao, Ru-San Tan, Qinghua Wu, Tim Leiner, Angela S. Koh, Liang Zhong
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundPulmonary artery (PA) strain is associated with structural and functional alterations of the vessel and is an independent predictor of cardiovascular events. The relationship of PA strain to metabolomics in participants without cardiovascul
Externí odkaz:
https://doaj.org/article/5f9898e300864cfa93eb460503e603ee
Autor:
Arif Metehan Yildiz, Masayuki Tanabe, Makiko Kobayashi, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya
Publikováno v:
IEEE Access, Vol 11, Pp 108705-108715 (2023)
Most emotion classification schemes to date have concentrated on individual inputs rather than crowd-level signals. In addressing this gap, we introduce Sound-based Community Emotion Recognition (SCED) as a fresh challenge in the machine learning dom
Externí odkaz:
https://doaj.org/article/5db78aa60ba14b0f8b715794a7678961
Autor:
Prabal Datta Barua, Makiko Kobayashi, Masayuki Tanabe, Mehmet Baygin, Jose Kunnel Paul, Thomas Iype, Sengul Dogan, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya
Publikováno v:
IEEE Access, Vol 11, Pp 101359-101372 (2023)
Fibromyalgia is a chronic pain syndrome associated with sleep disturbances, which may manifest as altered electroencephalography and electrocardiography (ECG) signal alterations during sleep. We aimed to develop a lightweight machine learning model f
Externí odkaz:
https://doaj.org/article/283dfcc0c7b1440eb13f2155d3e1a224
Autor:
Xiaodan Zhao, Shuang Leng, Ru-San Tan, Ping Chai, Tee Joo Yeo, Jennifer Ann Bryant, Lynette L. S. Teo, Marielle V. Fortier, Wen Ruan, Ting Ting Low, Ching Ching Ong, Shuo Zhang, Rob J. van der Geest, John C. Allen, Marina Hughes, Pankaj Garg, Teng Hong Tan, James W. Yip, Ju Le Tan, Liang Zhong
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 24, Iss 1, Pp 1-18 (2022)
Abstract Background Cardiovascular magnetic resonance (CMR) offers comprehensive right ventricular (RV) evaluation in pulmonary arterial hypertension (PAH). Emerging four-dimensional (4D) flow CMR allows visualization and quantification of intracardi
Externí odkaz:
https://doaj.org/article/fa23b2292ffe44c4b74aa728b197fb70
Publikováno v:
BMC Geriatrics, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Implementation of physical activity strategies in older populations may be influenced by underlying psychosocial and gender-based factors to physical activity. We explored associations between these factors and physical activity b
Externí odkaz:
https://doaj.org/article/efbce761fa13402e818e9cfb6f75ad0d
Autor:
Prabal Datta Barua, Nursena Baygin, Sengul Dogan, Mehmet Baygin, N. Arunkumar, Hamido Fujita, Turker Tuncer, Ru-San Tan, Elizabeth Palmer, Muhammad Mokhzaini Bin Azizan, Nahrizul Adib Kadri, U. Rajendra Acharya
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Pain intensity classification using facial images is a challenging problem in computer vision research. This work proposed a patch and transfer learning-based model to classify various pain intensities using facial images. The input facial i
Externí odkaz:
https://doaj.org/article/ea13b91f8a8f4b7294176718587b6c62