These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
153 related articles for article (PubMed ID: 38534873)
1. ADHD-AID: Aiding Tool for Detecting Children's Attention Deficit Hyperactivity Disorder via EEG-Based Multi-Resolution Analysis and Feature Selection. Attallah O Biomimetics (Basel); 2024 Mar; 9(3):. PubMed ID: 38534873 [TBL] [Abstract][Full Text] [Related]
2. Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals. Tor HT; Ooi CP; Lim-Ashworth NS; Wei JKE; Jahmunah V; Oh SL; Acharya UR; Fung DSS Comput Methods Programs Biomed; 2021 Mar; 200():105941. PubMed ID: 33486340 [TBL] [Abstract][Full Text] [Related]
3. An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals. Khare SK; Acharya UR Comput Biol Med; 2023 Mar; 155():106676. PubMed ID: 36827785 [TBL] [Abstract][Full Text] [Related]
4. Comparative analysis of electroencephalogram (EEG) data gathered from the frontal region with other brain regions affected by attention deficit hyperactivity disorder (ADHD) through multiresolution analysis and machine learning techniques. Deshmukh M; Khemchandani M; Thakur PM Appl Neuropsychol Child; 2024 Oct; ():1-15. PubMed ID: 39352008 [TBL] [Abstract][Full Text] [Related]
5. LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals. Atila O; Deniz E; Ari A; Sengur A; Chakraborty S; Barua PD; Acharya UR Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631569 [TBL] [Abstract][Full Text] [Related]
6. Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals. Koh JEW; Ooi CP; Lim-Ashworth NS; Vicnesh J; Tor HT; Lih OS; Tan RS; Acharya UR; Fung DSS Comput Biol Med; 2022 Jan; 140():105120. PubMed ID: 34896884 [TBL] [Abstract][Full Text] [Related]
7. Optimal interval and feature selection in activity data for detecting attention deficit hyperactivity disorder. V S; S D MK Comput Biol Med; 2024 Sep; 179():108909. PubMed ID: 39053333 [TBL] [Abstract][Full Text] [Related]
9. A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning. Sanchis J; García-Ponsoda S; Teruel MA; Trujillo J; Song IY Heliyon; 2024 Feb; 10(4):e26028. PubMed ID: 38379973 [TBL] [Abstract][Full Text] [Related]
10. Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning. Ahire N; Awale RN; Wagh A Appl Neuropsychol Adult; 2023 Aug; ():1-12. PubMed ID: 37647332 [TBL] [Abstract][Full Text] [Related]
11. EEG characteristics of children with attention-deficit/hyperactivity disorder. Chen H; Chen W; Song Y; Sun L; Li X Neuroscience; 2019 May; 406():444-456. PubMed ID: 30926547 [TBL] [Abstract][Full Text] [Related]
12. Automated and ERP-Based Diagnosis of Attention-Deficit Hyperactivity Disorder in Children. Jahanshahloo HR; Shamsi M; Ghasemi E; Kouhi A J Med Signals Sens; 2017; 7(1):26-32. PubMed ID: 28487830 [TBL] [Abstract][Full Text] [Related]
13. Wavelet-based approach for diagnosing attention deficit hyperactivity disorder (ADHD). Vimalajeewa D; McDonald E; Bruce SA; Vidakovic B Sci Rep; 2022 Dec; 12(1):21928. PubMed ID: 36535997 [TBL] [Abstract][Full Text] [Related]
14. Detection of ADHD from EEG signals using new hybrid decomposition and deep learning techniques. Esas MY; Latifoğlu F J Neural Eng; 2023 Jun; 20(3):. PubMed ID: 36996836 [No Abstract] [Full Text] [Related]
15. Gabor filter-based statistical features for ADHD detection. Sathiya E; Rao TD; Kumar TS Front Hum Neurosci; 2024; 18():1369862. PubMed ID: 38660014 [TBL] [Abstract][Full Text] [Related]
16. Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity. Öztoprak H; Toycan M; Alp YK; Arıkan O; Doğutepe E; Karakaş S Clin Neurophysiol; 2017 Dec; 128(12):2400-2410. PubMed ID: 29096213 [TBL] [Abstract][Full Text] [Related]
17. Machine Learning Techniques for the Diagnosis of Attention-Deficit/Hyperactivity Disorder from Magnetic Resonance Imaging: A Concise Review. Periyasamy R; Vibashan VS; Varghese GT; Aleem MA Neurol India; 2021; 69(6):1518-1523. PubMed ID: 34979636 [TBL] [Abstract][Full Text] [Related]
18. Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models. Maya-Piedrahita MC; Herrera-Gomez PM; Berrío-Mesa L; Cárdenas-Peña DA; Orozco-Gutierrez AA Int J Neural Syst; 2022 Mar; 32(3):2250008. PubMed ID: 34996341 [TBL] [Abstract][Full Text] [Related]
19. Classification of attention deficit/hyperactivity disorder based on EEG signals using a EEG-Transformer model He Y; Wang X; Yang Z; Xue L; Chen Y; Ji J; Wan F; Mukhopadhyay SC; Men L; Tong MCF; Li G; Chen S J Neural Eng; 2023 Sep; 20(5):. PubMed ID: 37683665 [No Abstract] [Full Text] [Related]