Design of a heart rate controller for treadmill exercise using a recurrent fuzzy neural network.

Journal: Computer methods and programs in biomedicine
Published Date: Feb 21, 2016

Abstract

BACKGROUND AND OBJECTIVE: In this study, we developed a computer controlled treadmill system using a recurrent fuzzy neural network heart rate controller (RFNNHRC). Treadmill speeds and inclines were controlled by corresponding control servo motors. The RFNNHRC was used to generate the control signals to automatically control treadmill speed and incline to minimize the user heart rate deviations from a preset profile.

Authors

  • Chun-Hao Lu
    Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan.
  • Wei-Cheng Wang
    Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan.
  • Cheng-Chi Tai
    Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan. Electronic address: astar2.elc@gmail.com.
  • Tien-Chi Chen
    Department of Computer and Communication, Kun Shan University, Tainan, Taiwan.

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