Perioperative Neurocognitive Disorders (Perieoperative Neurocognitive Disorders, PND) is one of the most common diseases in the perioperative period of elderly patients, and there is a consensus at home and abroad that PND is in a "high three low" state, i.e. high incidence, low early signs of awareness, The diagnostic accuracy is low and the integrated whole disease monitoring system that covers pre-hospital, during hospitalization, post-discharge and family links is low. The construction of PND early screening early warning index and the development of PND standardized whole disease monitoring system are beneficial to the pND treatment window. Based on the application of wearable devices in the early identification and rehabilitation of patients with neurological disorders such as cerebral infarction and Huntington's disease, and our previous studies confirming that alpha 2-adrenaline receptor agonists are beneficial to brain protection, this study aims to collect gait data for the clinical and daily life of elderly surgical patients by embedding wearable devices with three-axis accelerometer sensors. Through deep learning to establish gait recognition PND prediction model and remote health data platform, the development of standardized integrated whole disease PND monitoring system, real-time evaluation of alpha 2-adrenaline receptor agonist right metomidin on PND brain protection role, It provides a stable and reliable early warning system and clinical application of drugs to provide new evidence-based evidence for the forward ingress of PND prevention and control window.
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