Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data
Abstract
The polysomnography (PSG) can be used as a basis for judging various disorders that occur during sleep such as arousal. Arousal which means wakefulness is the common phenomena disturbing deep sleep. Since arousal appears in various forms, there are areas where research has been less advanced such as Respiratory effort-related arousal (RERA). We develop bidirectional Long Short-Term Memory (LSTM) which used Mel-frequency cepstral coefficient...
Paper Details
Title
Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data
Published Date
Dec 12, 2019
Pages
442 - 453
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History