Hospital Patient Sleep Posture Unattended Monitoring System
DOI:
https://doi.org/10.54097/qjbbcv13Keywords:
Smart Nursing; Sleep Posture Monitoring; Pressure Sensor Array; Machine Learning; Face Orientation Recognition; Pressure Ulcer Prevention.Abstract
Long-term bedridden patients face multiple health risks due to poor sleep posture, which seriously threatens their physical condition and recovery process. To effectively address complications such as pressure injuries, joint contractures, and impaired cardiopulmonary function caused by maintaining the same position, and to reduce the workload of medical staff, this study is committed to developing an innovative unattended monitoring system for sleep posture. This system integrates advanced AI intelligent recognition algorithms with a specially designed mattress embedded with high-precision sensors, enabling real-time and accurate monitoring of the patient's facial orientation and body position. The system promptly alerts healthcare personnel upon detecting anomalies. The application of this monitoring system is expected to significantly improve the quality of care for long-term bedridden patients, leveraging technological means to create more favorable conditions for preventing complications and promoting patient recovery.
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