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Audio-Polygraphy Dataset for Sleep Apnea Analysis (APSAA)

<p>The&nbsp;<strong>Audio-Polygraphy Dataset for Sleep Apnea Analysis (APSAA)</strong> provides synchronized, full-night audio and polygraph recordings from 32 subjects, along with manual annotations for labeled events in the polygraph studies. &nbsp;All subjects were provided with detailed information about the study, and written informed consent was obtained from those&nbsp;who agreed to take part. The recordings were collected between September 2021 and April 2022 at the Sleep Unit of Dr. Sagaz Hospital in Ja&eacute;n (Spain). The study was approved by the Provincial Research Ethics Committee of Ja&eacute;n (Spain).</p> <p>Each subject's data is organized in a designated folder named according to the subject's unique identification code. Inside each folder, users will find: (1) the audio recording in WAV format, (2) separate CSV files for each polygraph signal, and (3) a CSV file containing manual annotations of polygraph events. The polygraph signals included are as follows:</p> <ul> <li><strong>Abdomen_EG</strong>: Abdominal respiratory effort.</li> <li><strong>Flow_EG</strong>: Nasal airflow from the nasal cannula.</li> <li><strong>Pulse_EG</strong>: Pulse rate, measured in beats per minute.</li> <li><strong>Snore_EG</strong>: Respiratory snore pressure envelope from the nasal cannula.</li> <li><strong>SpO2_EG</strong>: Peripheral oxygen saturation percentage.</li> <li><strong>Thermistor_EG</strong>: Oronasal thermal airflow.</li> <li><strong>Thorax_EG</strong>: Thoracic respiratory effort.</li> </ul> <p>Additionally, an automated algorithm for synchronizing audio and polygraph signals in sleep studies is provided, accessible via the following <a href="https://github.com/fdgonzal/Polygraph-Audio-Sync" target="_blank" rel="noopener">Github repository</a></p> <p><em>Funding: This work was supported in part under grant 1257914 funded by Programa Operativo FEDER Andalucia 2014&ndash;2020, grant P18-RT-1994 funded by the Ministry of Economy, Knowledge and University (Junta de Andaluc&iacute;a, Spain), by MCIN/AEI/10.13039/501100011033 under the project grants PID2020-119082RB-{C21,C22} and by the Ministerio de Ciencia, Innovaci&oacute;n y Universidades (Gobierno de Espa&ntilde;a) under the grants PID2023-146520OB-{C21,C22}.</em></p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
8
Engagement
4