The use of artificial neural networks to reduce data collection demands in determining spine loading: a laboratory based analysis.

@article{Parkinson2009TheUO,
  title={The use of artificial neural networks to reduce data collection demands in determining spine loading: a laboratory based analysis.},
  author={Robert Jon Parkinson and Jack P. Callaghan},
  journal={Computer methods in biomechanics and biomedical engineering},
  year={2009},
  volume={12 5},
  pages={
          511-22
        }
}
The extensive data requirements of three-dimensional inverse dynamics and joint modelling to estimate spinal loading prevent the implementation of these models in industry and may hinder development of advanced injury prevention standards. This work examines the potential of feed forward artificial neural networks (ANNs) as a data reduction approach and compared predictions to rigid link and EMG-assisted models. Ten males and ten females performed dynamic lifts, all approaches were applied and… CONTINUE READING
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