This work proposes the development of an Autonomous System for Supervision of Diuresis Measurement (ASSDm) in medical devices to monitor patients. The system aims to minimize human interaction, allowing for the interpretation and dissemination of urine measurement information. By utilizing Electronic Instrumentation techniques and exploring IoT-based data communications, the ASSDm has the potential to provide autonomous and non-invasive electronic surveillance in monitoring urine accumulation in collection bags. This proposal introduces a new concept of remote sensing signal processing in medical devices, as revealed by the obtained results.