Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Article
Article Title | Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals |
---|---|
ERA Journal ID | 5040 |
Article Category | Article |
Authors | Koh, Joel.E.W., Ooi, Chui Ping, Lim-Ashworth, Nikki SJ., Vicnesh, Jahmunah, Tor, Hui Tian, Oh, Oh Shu, Tan, Ru-San, Acharya, U.Rajendra and Fung, Daniel Shuen Sheng |
Journal Title | Computers in Biology and Medicine |
Journal Citation | 140 |
Article Number | 105120 |
Number of Pages | 9 |
Year | 2022 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0010-4825 |
1879-0534 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.compbiomed.2021.105120 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0010482521009148 |
Abstract | Background Method Results Conclusion |
Keywords | Ten-fold validation; Attention deficit hyperactivity disorder; Conduct disorder; Ensemble classifiers; Empirical wavelet transform; Entropies; Machine learning |
ANZSRC Field of Research 2020 | 400399. Biomedical engineering not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Ngee Ann Polytechnic, Singapore |
Singapore University of Social Sciences (SUSS), Singapore | |
Institute of Mental Health, Singapore | |
National Heart Centre, Singapore | |
Asia University, Taiwan | |
School of Management and Enterprise |
https://research.usq.edu.au/item/z023z/automated-classification-of-attention-deficit-hyperactivity-disorder-and-conduct-disorder-using-entropy-features-with-ecg-signals
46
total views0
total downloads0
views this month0
downloads this month