Photoplethysmography temporal marker-based machine learning classifier for anesthesia drug detection

Anesthesia drug overdose hazards and lack of gold standards in anesthesia monitoring lead to an urgent need for accurate anesthesia drug detection. To investigate the PPG waveform features affected by anesthesia drugs and develop a machine-learning classifier with high anesthesia drug sensitivity. T...

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Detalles Bibliográficos
Autores principales: Khalid, Syed Ghufran, Ali, Syed Mehmood, Liu, Haipeng, Qurashi, Aisha Ghazal, Ali, Uzma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537122/
https://www.ncbi.nlm.nih.gov/pubmed/36063352
http://dx.doi.org/10.1007/s11517-022-02658-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537122/
https://www.ncbi.nlm.nih.gov/pubmed/36063352
http://dx.doi.org/10.1007/s11517-022-02658-1

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