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Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation

Autor: Rohit Pardasani, Sheetal Chaurasia, Navchetan Awasthi, Rupanjali Chaudhuri, Sushma Maya

Publikováno v: CinC

Respiratory Distress (RD) is typically associated with many critical conditions, particularly in aged population. The present-day monitoring solutions do not track the severity of RD distinctly and this obscures accurate prognosis. Our method quantif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbebfcd1a812d0c2e3a31bbfacc396d0
https://doi.org/10.22489/cinc.2020.271

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