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• W2090963411 abstract "Inspiration related snoring signals (IRSS) are essential for doctors and researchers to develop further study and establishment of personal health database. How to detect IRSS automatically from original audio recording is significant in methods of acoustic based Obstructive Sleep Apnea/Hypopnea Syndrome (OSAHS) diagnosis and monitoring. We proposed a systematic approach combining signal processing with machine learning techniques to detect IRSS from audio recording. Both the experimental results and computer studies demonstrate the efficiency of the proposed approach." @default.
• W2090963411 created "2016-06-24" @default.
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• W2090963411 date "2014-07-01" @default.
• W2090963411 modified "2023-09-27" @default.
• W2090963411 title "Automatic detection of inspiration related snoring signals from original audio recording" @default.
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• W2090963411 doi "https://doi.org/10.1109/chinasip.2014.6889209" @default.
• W2090963411 hasPublicationYear "2014" @default.
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