A Control System for a Powered Prosthesis Using Positional and Myoelectric Inputs from the Shoulder Complex

@inproceedings{citeulike:3007462, abstract = {The integration of multiple input sources within a control strategy for powered upper limb prostheses could provide smoother, more intuitive multi-joint reaching movements based on the users intended motion. The work presented in this paper presents the results of using myoelectric signals (MES) of the shoulder area in combination with the position of the shoulder as input sources to multiple linear discriminant analysis classifiers. Such an approach may provide users with control signals capable of controlling three degrees of freedom (DOF). This work is another important step in the development of hybrid systems that will enable simultaneous control of multiple degrees of freedom used for reaching tasks in a prosthetic limb.}, author = {Losier, Y. and Englehart, K. and Hudgins, B. }, booktitle = {Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE}, citeulike-article-id = {3007462}, doi = {http://dx.doi.org/10.1109/IEMBS.2007.4353750}, journal = {Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE}, keywords = {emg, pattern\_recognition}, pages = {6137--6140}, posted-at = {2008-07-16 08:46:30}, priority = {2}, title = {A Control System for a Powered Prosthesis Using Positional and Myoelectric Inputs from the Shoulder Complex}, url = {http://dx.doi.org/10.1109/IEMBS.2007.4353750}, year = {2007} }

TY - CONF ID - citeulike:3007462 L3 - citeulike-article-id:3007462 TI - A Control System for a Powered Prosthesis Using Positional and Myoelectric Inputs from the Shoulder Complex T2 - Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE JF - Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE SP - 6137 EP - 6140 N2 - The integration of multiple input sources within a control strategy for powered upper limb prostheses could provide smoother, more intuitive multi-joint reaching movements based on the users intended motion. The work presented in this paper presents the results of using myoelectric signals (MES) of the shoulder area in combination with the position of the shoulder as input sources to multiple linear discriminant analysis classifiers. Such an approach may provide users with control signals capable of controlling three degrees of freedom (DOF). This work is another important step in the development of hybrid systems that will enable simultaneous control of multiple degrees of freedom used for reaching tasks in a prosthetic limb. KW - emg KW - pattern_recognition AU - Losier, Y AU - Englehart, K AU - Hudgins, B PY - 2007/// UR - http://dx.doi.org/10.1109/IEMBS.2007.4353750 ER -