Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network

HIGHLIGHTS

  • who: Deivid Botina-Monsalve from the UnivBourgogne Franche-Comtu00e9, ImViA , Dijon, France have published the Article: Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network, in the Journal: (JOURNAL)
  • what: The authors demonstrate how the network can be easily trained with a set of 90 signals totaling around 45 min. The authors show the stability of the performance with six state-ofthe-art rPPG methods. This study shows the superiority of the LSTM-based filter experiu2011 mentally compared with conventional filters in an intra-dataset scenario. Using the LSTM deep . . .

     

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