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Automatic detection of aspiration-penetration using swallowing accelerometry signals
Automatic detection of aspiration-penetration using swallowing accelerometry signals
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机译:使用吞咽加速度计信号自动检测是否有穿刺现象
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摘要
A method can use dual-axis accelerometry signals obtained during a swallow to classify the swallow as a normal swallow or as an impaired swallow (e.g., an aspiration- penetration). The method can include representing the dual-axis accelerometry signals as meta-features, comparing the salient time and frequency meta-features, identified by regularized binomial logistic regression with elastic net penalty performed on the time and frequency meta-features in a known training data set, with a preset linear discriminant classifier constructed based on the salient meta-features, and classifying the swallow as a normal swallow or a possibly impaired swallow, based on the comparing. Preferably a processing module operatively connected to the sensor performs the processing of the dual- axis accelerometry signals and also automatically classifies the swallow.
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