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Automated Segmentation of the Systolic and Diastolic Phases in Wrist Pulse Signal Using Long Short-Term Memory Network.

Lin HuangJian-Jun YanShiyu CaiRui GuoHai-Xia YanYiqin Wang
Published in: BioMed research international (2022)
LSTM-based pulse signal segmentation method can achieve outstanding, robust, and reliable segmentation effects of the systolic phase, diastolic phase, and whole period of pulse signals. The research provides a new idea and method for the segmentation of pulse signals.
Keyphrases
  • blood pressure
  • deep learning
  • convolutional neural network
  • left ventricular
  • heart failure
  • machine learning
  • high throughput