Executive Summary : | ADHD is a common childhood psychiatric disorder that often leads to academic and interpersonal difficulties in children. As adults, they are more prone to car accidents, crimes, and drug abuse. Early diagnosis is crucial to prevent ADHD-driven brain alterations. However, screening for ADHD is less developed than for other disorders. Acoustic vocal profiling has the potential to detect early ADHD traits, and this study aims to develop a voice-based endophenotype for ADHD.
The objectives of this study include examining the correlation of differential vocal features in ADHD children's recorded speech and assessing the accuracy of visual attention tasks in ADHD detection. The study will involve recruitment of ADHD children from the Department of Child Psychiatry, Department of Physiology, and data analysis using Matlab and SPSS 22.0. The impact of this study is twofold: establishing a vocal profile method as an endophenotype for early detection of ADHD before it becomes clinically evident, and developing a low-cost method to detect ADHD at home. References for this research include studies on serious transport accidents in adults with ADHD, the effect of medication on transport accidents in adults with ADHD, and the role of visual attention tasks in ADHD detection. In conclusion, this study aims to develop a voice-based endophenotype for early ADHD detection and develop a low-cost method for home detection. |