Medical Device False Alarm Detection via IoT1

Abstract

Medical device alarms perform an essential safety function that causes the human surrounding it to be alerted. A medical device such as syringe pump, a patient monitor, a ventilator, a hemodialysis unit and the other medical device that build with sound alarms is purposely to warn their user or medical person, including nurses, a doctor and other hospital’s staff about the potential problems occur either with the patient or the machine itself. In hospital, Biomedical Engineers/Technicians/Specialist is the person who responsible to ensure the equipment is maintained in a serviceable condition at all time. If a breakdown happened, Biomedical Engineer/Technicians/Specialist shall attend the breakdown and perform services, maintenance and troubleshooting to identify the main problem that occurs. Therefore, this project is developed based on Biomedical Engineering services and maintenance fields to provide early prediction about the medical device false alarm by capturing the sound or audible alarm produce by the medical device in order to assist Biomedical Engineer/Technicians/Specialist during the troubleshooting process. The signal conditioning method was used to classify the frequency and amplitude of the sound signal. Arduino UNO micro-controller was used as the platform to process the data and the information will be sent to Biomedical Engineer/Technicians/Specialist smartphone via IoT by using ESP8266 Wi-Fi module. As a result, the end user will receive a notification on their smartphone through Messenger Application about the breakdown information.