The muscle activation method: an approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm. Export

@article{citeulike:2635557, abstract = {Current demonstrations of brain-machine interfaces (BMIs) have shown the potential for controlling neuroprostheses under pure motion control. For interaction with objects, however, pure motion control lacks the information required for versatile manipulation. This paper investigates the idea of applying impedance control in a BMI system. An extraction algorithm incorporating a musculoskeletal arm model was developed for this purpose. The new algorithm, called the muscle activation method (MAM), was tested on cortical recordings from a behaving monkey. The MAM was found to predict motion parameters with as much accuracy as a linear filter. Furthermore, it successfully predicted limb interactions with novel force fields, which is a new and significant capability lacking in other algorithms.}, address = {Mechatronics and Manufacturing Technology Center, Samsung Electronics, Suwon, Korea. hyunkim@mit.edu}, author = {Kim, H. K. and Carmena, J. M. and Biggs, S. J. and Hanson, T. L. and Nicolelis, M. A. and Srinivasan, M. A.}, citeulike-article-id = {2635557}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TBME.2007.900818}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4273609}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17694874}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17694874}, doi = {10.1109/TBME.2007.900818}, issn = {0018-9294}, journal = {IEEE transactions on bio-medical engineering}, keywords = {algorithm, bmi, control, mam, model, musculoskeletal, musician}, month = {August}, number = {8}, pages = {1520--1529}, posted-at = {2008-04-14 15:23:36}, priority = {2}, title = {The muscle activation method: an approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm.}, url = {http://dx.doi.org/10.1109/TBME.2007.900818}, volume = {54}, year = {2007} }

TY - JOUR ID - citeulike:2635557 L3 - citeulike-article-id:2635557 N2 - Current demonstrations of brain-machine interfaces (BMIs) have shown the potential for controlling neuroprostheses under pure motion control. For interaction with objects, however, pure motion control lacks the information required for versatile manipulation. This paper investigates the idea of applying impedance control in a BMI system. An extraction algorithm incorporating a musculoskeletal arm model was developed for this purpose. The new algorithm, called the muscle activation method (MAM), was tested on cortical recordings from a behaving monkey. The MAM was found to predict motion parameters with as much accuracy as a linear filter. Furthermore, it successfully predicted limb interactions with novel force fields, which is a new and significant capability lacking in other algorithms. IS - 8 JF - IEEE transactions on bio-medical engineering SN - 0018-9294 AD - Mechatronics and Manufacturing Technology Center, Samsung Electronics, Suwon, Korea. hyunkim@mit.edu EP - 1529 TI - The muscle activation method: an approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm. VL - 54 SP - 1520 KW - algorithm KW - bmi KW - control KW - mam KW - model KW - musculoskeletal KW - musician AU - Kim, HK AU - Carmena, JM AU - Biggs, SJ AU - Hanson, TL AU - Nicolelis, MA AU - Srinivasan, MA PY - 2007/08// UR - http://dx.doi.org/10.1109/TBME.2007.900818 ER -