@inproceedings{3e50d044818d44198e41db358aa4c8de,
title = "Simultaneous and proportional control of 2D wrist movements with myoelectric signals",
abstract = "Previous approaches for extracting real-time proportional control information simultaneously for multiple degree of Freedom(DoF) from the electromyogram (EMG) often used non-linear methods such as the multilayer perceptron (MLP). In this pilot study we show that robust control is also possible with conventional linear regression if EMG power measures are available for a large number of electrodes. In particular, we show that it is possible to linearize the problem with simple nonlinear transformations of band-pass power. Because of its simplicity the method scales well to high dimensions, is easily regularized when insufficient training data is available, and is particularly well suited for real-time control as well as on-line optimization.",
keywords = "Electromyography (EMG), linear regression, myoelectric control, simultaneous control, upper limb prosthesis",
author = "Hahne, {J. M.} and H. Rehbaum and F. Biessmann and Meinecke, {F. C.} and Muller, {K. R.} and N. Jiang and D. Farina and Parra, {L. C.}",
year = "2012",
doi = "10.1109/MLSP.2012.6349712",
language = "English",
isbn = "9781467310260",
series = "IEEE International Workshop on Machine Learning for Signal Processing, MLSP",
booktitle = "2012 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2012",
note = "2012 22nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2012 ; Conference date: 23-09-2012 Through 26-09-2012",
}