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Audio-Polygraphy Dataset for Sleep Apnea Analysis (APSAA) - MaRDI portal

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Audio-Polygraphy Dataset for Sleep Apnea Analysis (APSAA)

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Audio-Polygraphy Dataset for Sleep Apnea Analysis (APSAA) (Dataset published at Zenodo repository.)



DOI10.5281/zenodo.14096541Zenodo14096541MaRDI QIDQ6726198

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 12 November 2024

Copyright license: No records found.



Description

TheAudio-Polygraphy Dataset for Sleep Apnea Analysis (APSAA) provides synchronized, full-night audio and polygraph recordings from 32 subjects, along with manual annotations for labeled events in the polygraph studies. All subjects were provided with detailed information about the study, and written informed consent was obtained from thosewho agreed to take part. The recordings were collected between September 2021 and April 2022 at the Sleep Unit of Dr. Sagaz Hospital in Jan (Spain). The study was approved by the Provincial Research Ethics Committee of Jan (Spain). 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: Abdomen_EG: Abdominal respiratory effort. Flow_EG: Nasal airflow from the nasal cannula. Pulse_EG: Pulse rate, measured in beats per minute. Snore_EG: Respiratory snore pressure envelope from the nasal cannula. SpO2_EG: Peripheral oxygen saturation percentage. Thermistor_EG: Oronasal thermal airflow. Thorax_EG: Thoracic respiratory effort. Additionally, an automated algorithm for synchronizing audio and polygraph signals in sleep studies is provided, accessible via the following Github repository Funding: This work was supported in part under grant 1257914 funded by Programa Operativo FEDER Andalucia 20142020, grant P18-RT-1994 funded by the Ministry of Economy, Knowledge and University (Junta de Andaluca, Spain), by MCIN/AEI/10.13039/501100011033 under the project grants PID2020-119082RB-{C21,C22} and by the Ministerio de Ciencia, Innovacin y Universidades (Gobierno de Espaa) under the grants PID2023-146520OB-{C21,C22}.






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