Annotated dataset of simulated voiding sound for urine flow estimation
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Fecha
2025-06-13
Autores
Álvarez Arteaga, Marcos Lázaro
Arjona Aguilera, Laura
Bahillo, Alfonso
Bernardo Seisdedos, Ganeko
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Nature Research
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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.
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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