A Stress Detection Model Based on LSTM Network Using Solely Raw PPG Signals

Author:

Motaman Koorosh1,Alipour Khalil1,Tarvirdizadeh Bahram1,Ghamari Mohammad2

Affiliation:

1. University of Tehran Tehran,Advanced Service Robots (ASR) Laboratory,Department of Mechatronics Engineering Faculty of New Sciences and Technologies,Tehran,Iran

2. Kettering University,Department of Electrical and Computer Engineering,Flint,Michigan,USA

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancing PPG-based cf-PWV estimation with an integrated CNN-BiLSTM-Attention model;Signal, Image and Video Processing;2024-08-14

2. Real-Time Stress Detection from Raw Noisy PPG Signals Using LSTM Model Leveraging TinyML;Arabian Journal for Science and Engineering;2024-05-07

3. Weighted knowledge distillation of attention-LRCN for recognizing affective states from PPG signals;Expert Systems with Applications;2023-12

4. Psychological Stress Assessment Method Based on Learning Using Privileged Information Framework;Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing;2023-07-21

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