Deep compressive sensing on ecg signals with modified inception block and lstm

HIGHLIGHTS

• who: Jing Hua et al. from the School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China have published the Article: Deep Compressive Sensing on ECG Signals with Modified Inception Block and LSTM, in the Journal: Entropy 2022, 1024 of /2022/
• what: The authors propose a compressivesensing scheme for ECG signals based on and long short-term memory (LSTM). From the experiment, the authors can see that the approach has good quality on both databases. The training of the model is very important and the process may become slower if the input data are . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.