The following article is dedicated to the presentation of a developed filter algorithm for noise suppression in Acoustic Emission Analysis. The focus of the application is in the context of loosening diagnostics for hip endoprostheses. The aim of the study was to implement an algorithm capable of effectively filtering noise from acoustic signals in order to improve the detection of implant loosening. The algorithm is based on several filtering techniques, including the IIR notch filter. This ensures optimization of signal quality and accurate feature identification. The code was evaluated using experimental data on acoustic emission events. The results show that the code is successfully able to minimize the noise and to identify the relevant signals for loosening diagnostics. Further applications can be derived from the results of the applied algorithm, where quality control or real-time monitoring of processes is of crucial importance. The precise detection of weak signals opens up the possibility of transferring the filter algorithm to metal forming processes.