Megumi Taguchi

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In this paper, we propose a robust classification method for lung sounds contaminated with heart sounds in order to distinguish between healthy subjects and abnormal patients with pulmonary emphysema. We previously developed a classification procedure based on a maximum-likelihood approach by using hidden Markov models (HMMs). However, contaminated heart(More)
BACKGROUND In 2014, we created a training program for personnel in medical institutions in Japan to combat child maltreatment. The aim of the present study was to document the effectiveness of this program. METHODS Participants completed a questionnaire before and after the training lecture. The questionnaire designed for the training program included(More)
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