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0111 · Jan 201719922001200920172026
3 results for firefighters

Study identifies mental stress in firefighters using heart rate variability data.

problem Unsupervised identification of mental stress in firefighters from heart rate variability data.
method Exploration and comparison of three unsupervised methods: K-Means, convolutional autoencoders, and LSTM autoencoders.
result Convolutional and LSTM autoencoders successfully stratify stressed versus normal samples using HRV markers.