Development and Validation of an Optical Sensor-Based Automated Urine Flow Meter for Real-Time Patient Monitoring - Data Set

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Authors: Piyush Hota, Adithya Shyamala Pandian, Rodrigo Dominguez, Manni Mo, Bo Fu, Sandra Miranda, Pinar Cay-Durgun, Dheeraj Sirganagar, Michael Serhan, Peter Serhan, Kevin Abi Karam, Naomi M. Gades
+4 more Leslie F. Thomas, Peter J. Wiktor, Mary Laura Lind, Erica Forzani
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Abstract

This repository contains raw experimental data collected during animal studies evaluating an automated urine output monitoring system (P-meter). The dataset consolidates time-stamped urine volume measurements obtained using both a gold-standard gravimetric reference method and the P-meter device across multiple prototype versions. The data are provided to support transparency, reproducibility, and secondary analysis of the results reported in the associated manuscript. All animal experiments were conducted under an approved IACUC protocol (A00006128) at the Mayo Clinic, Arizona.

Fields of Study & Subjects

Healthcare Technology and Patient Monitoring Hemodynamic Monitoring and Therapy Intravenous Infusion Technology and Safety

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026
Document type
Dataset