Annotated dataset of simulated voiding sound for urine flow estimation
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 alg...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05358-1 |
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| author | Marcos Lazaro Alvarez Laura Arjona Alfonso Bahillo Ganeko Bernardo-Seisdedos |
| author_facet | Marcos Lazaro Alvarez Laura Arjona Alfonso Bahillo Ganeko Bernardo-Seisdedos |
| author_sort | Marcos Lazaro Alvarez |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-4a41e83da125464a9261eee9ca86c93d |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-4a41e83da125464a9261eee9ca86c93d2025-08-20T03:45:11ZengNature PortfolioScientific Data2052-44632025-06-011211710.1038/s41597-025-05358-1Annotated dataset of simulated voiding sound for urine flow estimationMarcos Lazaro Alvarez0Laura Arjona1Alfonso Bahillo2Ganeko Bernardo-Seisdedos3Faculty of Engineering, University of DeustoFaculty of Engineering, University of DeustoDepartment of Signal Theory and Communications, Universidad de ValladolidDepartment of Medicine, Faculty of Health Sciences, University of DeustoAbstract 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.https://doi.org/10.1038/s41597-025-05358-1 |
| spellingShingle | Marcos Lazaro Alvarez Laura Arjona Alfonso Bahillo Ganeko Bernardo-Seisdedos Annotated dataset of simulated voiding sound for urine flow estimation Scientific Data |
| title | Annotated dataset of simulated voiding sound for urine flow estimation |
| title_full | Annotated dataset of simulated voiding sound for urine flow estimation |
| title_fullStr | Annotated dataset of simulated voiding sound for urine flow estimation |
| title_full_unstemmed | Annotated dataset of simulated voiding sound for urine flow estimation |
| title_short | Annotated dataset of simulated voiding sound for urine flow estimation |
| title_sort | annotated dataset of simulated voiding sound for urine flow estimation |
| url | https://doi.org/10.1038/s41597-025-05358-1 |
| work_keys_str_mv | AT marcoslazaroalvarez annotateddatasetofsimulatedvoidingsoundforurineflowestimation AT lauraarjona annotateddatasetofsimulatedvoidingsoundforurineflowestimation AT alfonsobahillo annotateddatasetofsimulatedvoidingsoundforurineflowestimation AT ganekobernardoseisdedos annotateddatasetofsimulatedvoidingsoundforurineflowestimation |