Prediction of the effect of electrical defibrillation by using spectral feature parameters.

This paper proposes a system for predicting the effect of electrical defibrillation using spectral feature parameters. The proposed method consists of two-stage prediction. The first stage involves predicting whether electrical defibrillation is "Successful" or "Ineffective.

Safety and efficacy of an automated anesthesia delivery system for total intravenous anesthesia with propofol, remifentanil, and rocuronium: a non-inferiority randomized controlled trial versus manually controlled anesthesia.

Purpose: We have developed an automated anesthesia control system that uses biological information to provide closed-loop control of drug administration for total intravenous anesthesia with propofol, remifentanil, and rocuronium. In this study, we investigated whether the control of sedatives, analgesics, and muscle relaxants delivered by this system is non-inferior to that delivered by anesthesiologists.

Methods: During anesthesia management by our automated administration control system and by anesthesiologists, the concentration of each drug at the site of effect (calculated from drug administration history) and biometric information (bispectral index, blood pressure, pulse rate, and single contraction ratio %T1) were tabulated during the period from the start to end of surgery.