Swallow events classification is significant to improve the performance of swallow detection in digital health technologies. Our work consists of two major contributions: First, we perform data preprocessing techniques and transform the raw sEMG signals into feature vectors before using them to train an ML classifier. It is important for developing a data exploration project […]
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