Publications by authors named "Dahiru Tanko"
Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals.
Diagnostics (Basel)
January 2025
Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval. In this context, we aimed to investigate the cortical activities of psychotic criminal subjects by deploying an explainable feature engineering (XFE) model using an EEG psychotic criminal dataset. In this study, a new EEG psychotic criminal dataset was curated, containing EEG signals from psychotic criminal and control groups.
View Article and Find Full Text PDFThe distance education system was widely adopted during the Covid-19 pandemic by many institutions of learning. To measure the effectiveness of this system, it is essential to evaluate the performance of the lecturers. To this end, an automated speech emotion recognition model is a solution.
View Article and Find Full Text PDFArticle Synopsis
- This research introduces a new one-dimensional signal classification system, called EPSPatNet86, designed to detect Attention-Deficit Hyperactivity Disorder (ADHD) using EEG signals.
- The model employs a unique feature extraction method that includes wavelet transforms and statistical analysis to create and evaluate feature vectors from the EEG data.
- EPSPatNet86 demonstrated impressive accuracy of 97.19% and 87.60% in detecting ADHD from EEG signals using different validation techniques, showing its potential for broader applications in EEG analysis.