Title of article :
Smoothing of EMG and heart rate profile with spline function and forecasting with neural network
Author/Authors :
Yoshimitsu Yokota، نويسنده , , Jun Usuki، نويسنده , , Masatoshi Kitaoka، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 1999
Abstract :
This paper presents the method of forecasting what waveform is obtained from EMG and a heart rate depending on the weight of a product to be handled a handling distance, height or working frequency when doing manual material handling. The forecasting of a heart rate and EMG is used with spline function and neural network. Spline function can be smoothed extermely fluctuating biological signal.
Keywords :
Spline function , Manual Material Handling , Human factors , Neural network , Forecasting
Journal title :
Computers & Industrial Engineering
Journal title :
Computers & Industrial Engineering