Annotated dataset of simulated voiding sound for urine flow estimation
| dc.contributor.author | Álvarez Arteaga, Marcos Lázaro | |
| dc.contributor.author | Arjona Aguilera, Laura | |
| dc.contributor.author | Bahillo, Alfonso | |
| dc.contributor.author | Bernardo Seisdedos, Ganeko | |
| dc.date.accessioned | 2026-01-09T09:36:08Z | |
| dc.date.available | 2026-01-09T09:36:08Z | |
| dc.date.issued | 2025-06-13 | |
| dc.date.updated | 2026-01-09T09:36:08Z | |
| dc.description.abstract | Sound-based uroflowmetry is a non-invasive test emerging as an alternative to standard uroflowmetry, estimating voiding characteristics from the sound generated by urine striking water in a toilet bowl. The lack of labeled flow sound datasets limits research for developing supervised AI algorithms. This work presents a dataset of simulated urinary flow sound recordings at flow rates from 1 to 50 ml/s, in increments of 1 ml/s, against water in a real toilet bowl. Flow generation employed an L600-1F precision peristaltic pump, with simultaneous recordings from three devices: high-quality Ultramic384k microphone, Mi A1 smartphone and Oppo smartwatch. Water was expelled through a 6 mm diameter nozzle (simulating the urethra) from a variable height of 73 to 86 cm, mimicking adult urination. The dataset provides 60-seconds labeled, constant-flow audio recordings (WAV format). This resource is intended to support research on sound-based urinary flow estimation by developing and validating supervised artificial intelligence algorithms. | en |
| dc.description.sponsorship | This research was supported by the Spanish Ministry of Science and Innovation under SWALU project (ref. CPP2022-010045) and ‘Ayuda para contratos predoctorales 2020 (ref. PRE2020-095612)’ funded by MICIU/AEI/10.13039/501100011033 and co-financed by FSE invierte en tu futuro. Additionally, partial support was provided by the Ministry under the Aginplace project (ref. PID2023-146254OB-C41 and ref. PID2023-146254OA-C44) financed by MICIU/AEI/10.13039/501100011033 and FEDER, UE | en |
| dc.identifier.citation | Alvarez, M. L., Arjona, L., Bahillo, A., & Bernardo-Seisdedos, G. (2025). Annotated dataset of simulated voiding sound for urine flow estimation. En Scientific Data (Vol. 12, Número 1). Nature Research. https://doi.org/10.1038/S41597-025-05358-1 | |
| dc.identifier.doi | 10.1038/S41597-025-05358-1 | |
| dc.identifier.eissn | 2052-4463 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14454/4653 | |
| dc.language.iso | eng | |
| dc.publisher | Nature Research | |
| dc.rights | © The Author(s) 2025 | |
| dc.title | Annotated dataset of simulated voiding sound for urine flow estimation | en |
| dc.type | data paper | |
| dcterms.accessRights | open access | |
| oaire.citation.issue | 1 | |
| oaire.citation.title | Scientific Data | |
| oaire.citation.volume | 12 | |
| oaire.licenseCondition | https://creativecommons.org/licenses/by/4.0/ | |
| oaire.version | VoR |
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