An automated ICU agitation monitoring system for video streaming using deep learning classification.
Pei-Yu DaiYu-Cheng WuRuey-Kai SheuChieh-Liang WuShu-Fang LiuPei-Yi LinWei-Lin ChengGuan-Yin LinHuang-Chien ChungLun-Chi ChenPublished in: BMC medical informatics and decision making (2024)
Our study proposes an advanced monitoring system combining LSTM and image processing to ensure mild patient sedation in ICU care. LSTM proves to be the optimal choice for accurate monitoring. Future efforts should prioritize expanding data collection and enhancing system integration for practical application.
Keyphrases
- deep learning
- intensive care unit
- mechanical ventilation
- machine learning
- healthcare
- quality improvement
- artificial intelligence
- palliative care
- convolutional neural network
- case report
- high resolution
- decision making
- current status
- pain management
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation