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

HIGHLIGHTS

• who: Syed Ghufran Khalid from the Faculty of Health, Education and Life Sciences, Birmingham City University, Birmingham , TN, UK have published the Article: Photoplethysmography temporal marker-based machine learning classifier for anesthesia drug detection, in the Journal: (JOURNAL)
• what: This study proposed the nasal PPG index used to predict the pain level during anesthesia with an AUC of 0.73 . Medical and amp; Biological Engineering and amp; Computing 60:3057-3068 This pilot study was designed to investigate the key PPG waveform features and develop machine_learning classifiers to achieve reliable PPG-based anesthesia drug detection . . .
  

   

  

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