FisioLung: A System for Training and Monitoring of Respiratory Physiotherapy Sessions

Abstract

The chest vibration technique is considered a good alternative for bronchial hygiene. However, this technique is difficult to perform because it needs a chest on exact range frequency. We built a tool to analyze its execution that helped professionals to learn him. It is possible to monitor the evolution of the patient with a monitoring system based on the record of sessions and observe the application of the vibration techniques as well. This work proposed the developed system integrating hardware and software named Fisiolung. The architecture has a glove with an accelerometer to capture the vibration data and a NodeMCU ESP32 board used to process them. The Flutter mobile application receives the collected data and manages the session. The system can record physiotherapy sessions by registering the patient’s and the professional’s data, anamnesis information, techniques used, and analysis of the manual chest vibration technique stored. On the analysis screen, it is possible to note the graphs of peak frequency versus time and the average of peak frequency versus time, as well as session information such as analysis time, anamnesis data, and applicable techniques. The researchers conducted some experiments using the system, and the initial feedback indicated that physiotherapists could adopt the system and benefit from utilizing the Vibrocompression technique.