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

Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi, Sheetal Chaurasia, Sushma Maya. Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation. In Computing in Cardiology, CinC 2020, Rimini, Italy, September 13-16, 2020. pages 1-4, IEEE, 2020. [doi]

@inproceedings{PardasaniCACM20,
  title = {Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation},
  author = {Rohit Pardasani and Rupanjali Chaudhuri and Navchetan Awasthi and Sheetal Chaurasia and Sushma Maya},
  year = {2020},
  doi = {10.22489/CinC.2020.271},
  url = {https://doi.org/10.22489/CinC.2020.271},
  researchr = {https://researchr.org/publication/PardasaniCACM20},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {Computing in Cardiology, CinC 2020, Rimini, Italy, September 13-16, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7382-5},
}