Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review

Biosensors, Journal Year: 2024, Volume and Issue: 14(4), P. 183 - 183

Published: April 9, 2024

The rapid development of biosensing technologies together with the advent deep learning has marked an era in healthcare and biomedical research where widespread devices like smartphones, smartwatches, health-specific have potential to facilitate remote accessible diagnosis, monitoring, adaptive therapy a naturalistic environment. This systematic review focuses on impact combining multiple techniques algorithms application these models healthcare. We explore key areas that researchers engineers must consider when developing model for biosensing: data modality, architecture, real-world use case model. also discuss ongoing challenges future directions this field. aim provide useful insights who seek intelligent advance precision

Language: Английский

Psychological Stress Classification Using EEG and ECG: A CNN Based Multimodal Fusion Model

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 12, 2024

Psychological stress cannot be ignored in today's society, and there is an urgent need for objective cost-effective method to detect it. However, traditional machine learning methods that require manual feature extraction a lot of research time guarantee accuracy. In this paper, we establish four-category multimodal dataset by collecting EEG ECG signals from 24 subjects performing mental arithmetic tasks with different difficulty levels propose decision fusion model based on Convolution Neural Network classify the data. The prediction probabilities four categories are first extracted two models each then fused into final classification, 5-fold cross-validation Leave-Three-Subjects-Out experiments performed, which achieve 91.14% 91.97% accuracy, respectively. addition, features convolution layer were visualized using 1D-Grad-CAM improve interpretability model.

Language: Английский

Mental Stress Assessment in Working Environment for an Individual Using Wearable Sensor of EEG and Pulse Signal Measured with Help of Deep Learning Algorithm

IFIP advances in information and communication technology, Journal Year: 2024, Volume and Issue: unknown, P. 80 - 92

Published: Dec. 19, 2024

Language: Английский