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Shahbakhti et al., 2024 - Google Patents

Utilizing Slope Entropy as an Effective Index for Wearable EEG-Based Depth of Anesthesia Monitoring

Shahbakhti et al., 2024

Document ID
6600704664118181075
Author
Shahbakhti M
Beiramvand M
Far S
Solé-Casals J
Lipping T
Augustyniak P
Publication year
Publication venue
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

External Links

Snippet

Based on prior research indicating a decrease in the spectral slope of electroencephalogram (EEG) during anesthesia induction and an increase during recovery, we propose Slope Entropy (SlopEn), which uniquely emphasizes variations in signal slope …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
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