Development of Wireless Urodynamic Pressure-Flow Study System

This paper presents a natural-filling wireless pressure-flow study (NFW-PFS) system for the diagnosis of urologic problems which many patients in older population suffer from. For the benign prostatic hyperplasia (BPH) patients, NFW-PFS was performed in a private room. Several features were extracted from the pressure and flow data and used to make the artificial neural network classifier which was able to predict the status of BPH patient’s bladder outlet. Results showed good agreement with theoretical predictions based on clinical evidence and significant improvement over conventional urodynamic study (UDS) system in terms of several subjective parameters. The work presented here has profound implications for future studies of wearable UDS system and may one day help solve the problem of urodynamic application to home healthcare.