Monitoring the Occurrence of Alarms in Internet of Things-Based HFNC With Analysis of Signal Increases Before Blockages Error

HFNC must be closely monitored by nurses to increase the flow rate when the patient's condition worsens. The 
monitoring occurs every hour to assess the results of HFNC administration. If the patient's condition persists, the flow given to HFNC will be increased. Thus, careful monitoring is essential during oxygen therapy with HFNC to ensure the patient's oxygen dose remains consistent. Despite debates about aerosol side effects, HFNC has proven effective in increasing blood oxygen levels and improving lung performance. This study aims to analyze HFNC errors leading to decreased flow. The research employs a temperature setting of 34ºC and a flow setting of 30-60 LPM. Under a flow setting of 30 LPM, the average pressure value before the error is 0 in process 2, and after the error, it remains 0, indicating a Blockage error as notified by IoT. Similarly, under the same flow setting, the average pressure value before the error is 0 in process 1, and after the error, it remains 0, indicating a leaking error based on the IoT notification and tool condition. The study reveals an average error of 3.8 for Blockage and 1.5 for Leaking conditions. Future research could explore developments such as employing a more sensitive pressure sensor, like the MPX5010DP, and incorporating batteries to enhance the module's portability without the need for a voltage source.