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Non-invasive biosensing for healthcare using artificial intelligence: a semi-systematic review
The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …
has marked an era in healthcare and biomedical research where widespread devices like …
Biosignals based automated driver cognitive load assessment using a pre-trained transformer
Assessing driver cognitive load (DCL) is essential for enhancing driving safety and
performance. This study introduces a novel method that leverages a pre-trained biosignal …
performance. This study introduces a novel method that leverages a pre-trained biosignal …
[PDF][PDF] Psychological Stress Classification Using EEG and ECG: A CNN Based Multimodal Fusion Model
B Zhou, L Wang, C Jiang - 2024 - assets-eu.researchsquare.com
Psychological stress cannot be ignored in today's society, and there is an urgent need for an
objective and cost-effective method to detect it. However, traditional machine learning …
objective and cost-effective method to detect it. However, traditional machine learning …
Mental Stress Assessment in Working Environment for an Individual Using Wearable Sensor of EEG and Pulse Signal Measured with Help of Deep Learning …
Thanks to artificial intelligence (AI), machines will eventually have the same emotional
impact as humans. Deep emotions, not just words, are used by this “affective computing” to …
impact as humans. Deep emotions, not just words, are used by this “affective computing” to …