Design and Implementation of Patient Monitoring System Based on IoT Using Oxygen Saturation

SpO2 levels must be continuously monitored in patients with cardiac and pulmonary conditions as well as those undergoing surgery. SpO2 monitoring is frequently employed in a clinical context to assess how well lung medicines and ventilator assistance are working. A pulse oximeter is a piece of medical gear that measures how much oxygen is in a person’s bloodstream, or how much of the oxygen carrying molecules known as hemoglobin) are actually used to move oxygen about the body. If the observations are made on the pulsatile component of the signal, pulse oximetry is predicated on the idea that two wavelengths may be used to determine arterial blood oxygen levels. Here, the device continuously measures the temperature and the Spo2 level in order to create a machine learning-based algorithm for patient severity prediction and upload it to a private server after a predetermined amount of time. Therefore, the doctor or caregiver can see the patient’s status remotely.