Deep neural network technique for automated detection of ADHD and CD using ECG signal
Background and objective: Attention Deficit Hyperactivity problem (ADHD) is a common neurodevelopment problem in children and adolescents that can lead to long-term challenges in life outcomes if left untreated. Also, ADHD is frequently associated with Conduct Disorder (CD), and multiple research ha...
Saved in:
Main Authors: | Loh, Hui Wen, Ooi, Chui Ping, Oh, Shu Lih, Barua, Prabal Datta, Tan, Yi Ren, Molinari, Filippo, March, Sonja, Acharya, U. Rajendra, Fung, Daniel Shuen Sheng |
---|---|
Other Authors: | Lee Kong Chian School of Medicine (LKCMedicine) |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/174063 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Towards explaining sequences of actions in multi-agent deep reinforcement learning models
by: KHAING, Phyo Wai, et al.
Published: (2023) -
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals
by: Jahmunah, V., et al.
Published: (2022) -
NEW PARADIGMS FOR APPLICATION OF INTELLIGENT TECHNIQUES IN HYDROLOGY: BRIDGING MONITORING, MODELING AND UNDERSTANDING
by: JIANG SHIJIE
Published: (2021) -
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types
by: Oh, Shu Lih, et al.
Published: (2020) -
(Mis)leading the COVID-19 vaccination discourse on Twitter: an exploratory study of infodemic around the pandemic
by: Sharma, Shakshi, et al.
Published: (2023)