IoT-based Architecture and Implementation for Automatic Shock Treatment

Abstract

The Internet of Things (IoT) is being used in a wide variety of fields due to the recent 4th industrial revolution. In particular, research is being conducted that combines IoT with the medical field such as telemedicine. Among them, the field of shock detection is a big issue in the medical field because the causes of shock are diverse, treatments are very complex, and require a high level of medical knowledge and experience. The transmission of infectious diseases is common when treating critically ill patients, especially patients with shock. Thus, to effectively care for shock patients, we propose an architecture that continuously monitors the patient's condition, and automatically recommends a drug injection treatment according to the patient's shock condition. The patient's hemodynamic information is continuously monitored, and the patient's shock generation information is recorded periodically. With the recorded patient information, the patient's condition is determined and automatically injected with necessary medication. The medical team can find out whether the patient's condition has improved by checking the recorded information through web applications. The study can help relieve the shortage of medical personnel and help prevent transmission of infectious disease in medical staff. We look forward to playing a role in helping medical staff by making recommendations for the diagnosis and treatment of complex and difficult shocks.

Ensemble Deep Learning Model using Random Forest for Patient Shock Detection

“…A representative example is the IoT-based automatic shock treatment system conducted in collaboration with Hanyang University Hospital. The patient's biometric data represented by the hemodynamic monitoring equipment is recognized for letter and numeric values using optical character recognition (OCR), and the recognized values are stored in the database in real time [23]. Real-time stored data is analyzed by the server computer and when the value of the hemodynamic parameter determining patient shock exceeds the threshold, an infusion pump automatically injects the drugs according to the patient's physical condition.…”