A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection-Reference-Cited by-同舟云学术

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A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Mandal Sayantika¹^ORCID,Kumar G. Pradeep²^ORCID,Saini Manali²^ORCID,Satija Udit¹^ORCID,Kumar Yogesh³^ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

2. Department of Electrical Engineering, Shiv Nadar University, Greater Noida, India

3. All India Institute of Medical Sciences (AIIMS) Patna, Patna, India

Funder

Indian Council of Medical Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10339337.pdf?arnumber=10339337

Reference46 articles.

1. FOCUS: Detecting ADHD Patients by an EEG-Based Serious Game

2. DATA AUGMENTATION FOR FMRI-BASED FUNCTIONAL CONNECTIVITY AND ITS APPLICATION TO CROSS-SITE ADHD CLASSIFICATION

3. Objective ADHD Diagnosis Using Convolutional Neural Networks Over Daily-Life Activity Records

4. Prevalence of Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-analysis

5. Using environmental distractors in the diagnosis of ADHD

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