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Ballistocardiography monitoring system based on optical fiber interferometer aided with heartbeat segmentation algorithm.

Shuyang ChenFengze TanWeimin LyuChangyuan Yu
Published in: Biomedical optics express (2020)
An optical fiber interferometer-based ballistocardiography (BCG) monitoring system aided with the IJK complex detection algorithm is proposed in this paper. A new phase modulation method based on a moving-coil transducer is developed to address the problem of signal fading in the optical fiber interferometer and keep the system in quadrature by the closed loop controller. As a result, a stable BCG signal without baseline drift can be obtained. This BCG monitor based on optical fiber interferometer using phase modulation method owns the advantages of compact, low-cost, portable, and user-friendly. In addition, an end-to-end modified U-net is developed to conduct pixel-wise classification in the BCG signal. This network can achieve high accuracy and shows its capability to segment IJK complex and body movement in the BCG signal. In conclusion, the proposed BCG monitoring system with IJK complex segmentation algorithm is potential and promising in healthcare applications.
Keyphrases
  • deep learning
  • low cost
  • machine learning
  • high resolution
  • healthcare
  • high speed
  • convolutional neural network
  • neural network
  • mass spectrometry
  • risk assessment
  • human health
  • climate change