publications

2025

1. Consumer-friendly EEG-based Emotion Recognition System: A Multi-scale Convolutional Neural Network Approach

   Tri Duc Ly and Gia H. Ngo

   2025

   Abs DOI

   EEG is a non-invasive, safe, and low-risk method to record electrophysiological signals inside the brain. Especially with recent technology developments like dry electrodes, consumer-grade EEG devices, and rapid advances in machine learning, EEG is commonly used as a resource for automatic emotion recognition. With the aim to develop a deep learning model that can perform EEG-based emotion recognition in a real-life context, we propose a novel approach to utilize multi-scale convolutional neural networks to accomplish such tasks. By implementing feature extraction kernels with many ratio coefficients as well as a new type of kernel that learns key information from four separate areas of the brain, our model consistently outperforms the state-of-the-art TSception model in predicting valence, arousal, and dominance scores across many performance evaluation metrics.

2024

1. Music therapy in Alzheimer’s disease: Considerations for implementation in Vietnam

   Tri Duc Ly

   Journal of Student Research, Aug 2024

   Abs DOI

   Alzheimer’s Disease (AD) is the most common cause of dementia, accounting for an estimated 60-70% of dementia cases. The disease is characterized by a progressive loss of cognitive function associated with an excessive number of senile plaques in the cerebral cortex and subcortical gray matter atrophy accompanied by Beta-amyloid and neurofibrillary tangles consisting of tau protein. While there has yet to be an effective treatment for Alzheimer’s disease, music therapy (MT) has shown promise for reducing a variety of symptoms. For instance, MT was able to reduce agitation, anxiety, and depression as well as aid cognitive, sensory, and socio-emotional abilities. Additionally, MT is easy to implement and well-tolerated by most patients and caregivers. However, MT is currently not widely prescribed in many countries, including Vietnam. We reviewed the literature on MT and dementia, with a focus on AD to better understand factors affecting MT efficacy and barriers to implementing MT for individuals with AD in Vietnam. Further research is warranted to gain a better understanding of factors affecting the efficacy of MT for individuals with AD, with considerations specifically for individuals with AD in Vietnam.