Advances in the Diagnosis and Treatment of Sleep Apnea
Springer International Publishing
Chapter title |
Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea–Hypopnea Events from the Oximetry Signal
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Chapter number | 15 |
Book title |
Advances in the Diagnosis and Treatment of Sleep Apnea
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Published by |
Springer, Cham, January 2022
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DOI | 10.1007/978-3-031-06413-5_15 |
Pubmed ID | |
Book ISBNs |
978-3-03-106412-8, 978-3-03-106413-5
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Authors |
Vaquerizo-Villar, Fernando, Álvarez, Daniel, Gutiérrez-Tobal, Gonzalo C., Arroyo-Domingo, C. A., del Campo, F., Hornero, Roberto |
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Spain | 2 | 100% |
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Members of the public | 2 | 100% |
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Unknown | 10 | 100% |
Readers by professional status | Count | As % |
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Student > Master | 2 | 20% |
Unspecified | 1 | 10% |
Librarian | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Other | 1 | 10% |
Other | 2 | 20% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 2 | 20% |
Unspecified | 1 | 10% |
Business, Management and Accounting | 1 | 10% |
Environmental Science | 1 | 10% |
Psychology | 1 | 10% |
Other | 1 | 10% |
Unknown | 3 | 30% |