A real-time automated sleep scoring algorithm to detect refreshing sleep in conscious ventilated critically ill
Christophe Rault1, Quentin Heraud2, Stéphanie Ragot3
1INSERM, CIC 1402, Equipe IS-Alive, Université de Poitiers, Faculté de Médecine et de Pharmacie, Poitiers, France; CHU de Poitiers, Service d'Explorations Fonctionnelles, Physiologie Respiratoire et de l'Exercice, Poitiers, France.
Neurophysiologie Clinique = Clinical Neurophysiology
|March 26, 2023
Summary
An automated sleep scoring system accurately identifies long sleep episodes in intensive care unit (ICU) patients. This real-time technology enables nurses to protect patient sleep and improve outcomes.
Area of Science:
- Critical Care Medicine
- Sleep Science
- Biomedical Engineering
Background:
- Intensive care unit (ICU) patients frequently experience severe sleep disruption due to noisy environments.
- Sleep alterations in critically ill patients are linked to increased need for ventilation and mortality.
- Manual sleep scoring is challenging and resource-intensive, limiting research and clinical application.
Purpose of the Study:
- To develop and evaluate a real-time automated sleep scoring algorithm for ICU patients.
- To compare the performance of automated sleep scoring against traditional visual scoring.
- To explore the potential of automated scoring for improving patient sleep protection strategies.
Main Methods:
- Retrospective analysis of 45 polysomnographies from non-sedated, conscious ICU patients during weaning.
- Processing of a single electroencephalogram (EEG) channel for automated sleep scoring.
- Comparison of automated total sleep time with visual scoring and calculation of correctly identified sleep episodes.
Main Results:
- Automated and visual sleep scoring showed correlation, with automated overestimation of total sleep time.
- The algorithm detected 100% of sleep episodes longer than 10 minutes (median).
- Median sensitivity for detecting sleep episodes was 97.9%.
Conclusions:
- Automated sleep scoring effectively identifies restorative long sleep episodes in ICU patients.
- Real-time automated scoring facilitates EEG-guided sleep protection strategies.
- Nurses can utilize this system to minimize sleep disruptions by optimizing care procedures and reducing noise.
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