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Expiratory muscle strength training (EMST) involves forcible blowing as a means of genera@ng high expiratory pressure, against adjustable resistance. EMST has recently been introduced as a poten@al treatment for dysphagia. This study was performed to inves@gate the effects of EMST on the ac@vity of

Expiratory muscle strength training (EMST) is an evidence-based treatment for dysphagia, voice, and more. Read the article to learn how to do EMST speech therapy exercises with your patients!

2024年12月22日 · EMST算法是一种在图论中用于构建最小生成树的算法。 最小生成树是连接图中所有顶点的树，且所有边的权值之和最小。 EMST算法通过优化最小生成树的构建过程，提高了算法的效率，使其适用于大规模数据集。 EMST算法的核心思想是使用贪心策略，从任意顶点开始，逐步添加边，直到所有顶点都被连接。 在添加边的过程中，算法会优先选择权值最小的边，并确保不会形成环。 选择一个顶点作为起点，初始化最小生成树。 对于图中剩余的顶点，计算其 …

Expiratory Muscle Strength Training (EMST) is a device based exercise program that improves airway protection through strengthening of the respiratory muscles. Specifically, EMST training increases hyolaryngeal movement, resulting in improvements in breathing force, swallowing, voluntary cough production, and voice. Who uses EMST?

2020年3月1日 · This review aimed to assess and synthesise current EMST data and determine the effect of EMST on expiratory strength, pulmonary function and cough. Nine studies examined MEP as a primary outcome measure and, despite differences in intervention protocols, meta-analysis indicated a small but statistically significant increase in MEP following EMST.

2010年7月25日 · We present a new dual-tree algorithm for efficiently computing the EMST, use adaptive algorithm analysis to prove the tightest (and possibly optimal) runtime bound for the EMST problem to-date, and demonstrate the scalability of our method on astronomical data sets.

2023年11月14日 · Fast and easily computes an Euclidean Minimum Spanning Tree (EMST) from data, relying on the R API for 'mlpack' - the C++ Machine Learning Library (Curtin et. al., 2013). 'emstreeR' uses the Dual-Tree Boruvka (March, Ram, Gray, 2010, <doi:10.1145/1835804.1835882>), which is theoretically and empirically the fastest algorithm for computing an EMST.

emstreeR enables R users to fast and easily compute an Euclidean Minimum Spanning Tree (EMST) from data. This package relies on the R API for {mlpack} - the C++ Machine Learning Library (Curtin et. al., 2013). {emstreeR} uses the Dual-Tree Boruvka (March, Ram, Gray, 2010, https://doi.org/10.1145/1835804.1835882 ), which is theoretically and ...

This downloadable toolkit includes all the information you need to know about the popular EMST 150, including: Clinical data: Evidence-based outcomes. Instructions for use and 5-week training programme. EMST – “Your Questions Answered” handout. …