Systems And Methods For Uroflowmetry

A system for uroflowmetry, the system comprising:

• an audio device configured to obtain time-varying audio data of urination;
• and
• a machine learning module with at least one processor and associated memory, wherein the machine learning module is configured to:
• process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, real urine flow data and associated audio data received from a urine flow measuring device, wherein the machine learning model is a recurrent model that operates on the time-varying audio data such that a state of the model is input to a subsequent state of the model to leverage time correlations in the time-varying audio data, wherein the time correlations indicate that a current flow rate of urination is dependent on a previous flow rate of urination, and
• output the processed audio data of urination to be used in uroflowmetry.