To introduce the human from a cybernetics viewpoint, in particular to look at the design of human sensory-motor systems, and the technologies that can be used to measure and assist people.
By the end of this module the students should be able to understand basic human biomechanics and the neural controller. understand simple models of the muscles, tendons, neurons, proprioceptors and other elements associated with movements. discuss the impact of impairment and disability on interactions with technology and the environment propose approaches to address challenges with accessibility, treatment of health conditions, and related areas
The course will look at several aspects of biomedical engineering, that is, biomechanics, neural modelling, and assistive technologies.
Biomechanics and neural modelling: This part of the course will look at how humans and animals move. This will include the sensory mechanisms that monitor movement, the muscles and the spinal reflex, and hypothesised mechanisms as to how the brain direct movements. Movement patterns considered will include animal gaits, minimum jerk methods, cerebellum predictors and the equilibrium point hypothesis.
The course also examines the impact of impairment, disability, and ageing on interactions with technology and the environment, and the design of products and technologies to improve accessibility for a range of populations.
You will be given hard copies if you attend Lectures. If you miss the lecture you will need to get your own hard copy. Only closed collections will be kept in the Student Office. You may need these in the exam.
S.J. Blakemore, D.M. Wolpert and C.D. Frith "Why can't you tickle yourself?" NeuroReport 11 (11) pp. 11-15 http://learning.eng.cam.ac.uk/pub/Public/Wolpert/Publications/BlaWolFri00.pdf (2000)
J.R. Flanagan and A.M. Wing "The role of internal models in motion planning and control: evidence from grip force adjustments during movements of hand-held loads" Journal of Neuroscience Soc Neuroscience 17 (4) pp. 1519 http://www.jneurosci.org/content/17/4/1519.short (1997)
K. P. Körding and D. M. Wolpert "Bayesian integration in sensorimotor learning" Nature doi= 10.1038/nature02169 427 pp. 244-247 (January 2004)
A. Prochazka, D. Gillard and D.J. Bennett "Implications of positive feedback in the control of movement" Journal of Neurophysiology 77 (6) pp. 3237-3251 http://www.ualberta.ca/~aprochaz/pdfs/1997%20Prochazka%20pos%20ff%202.pdf (1997) (UR Call Folio Periodical -- 591.18 V. 61)
R.C. Miall, D.J. Weir, D.M. Wolpert and J.F. Stein "Is the Cerebellum a Smith Predictor?" Journal of Motor Behavior 25 (3) pp. 203-216 http://prism.bham.ac.uk/pdf_files/SmithPred_93.PDF (1993)
S.S. Shergill, P.M. Bays, C.D. Frith and D.M. Wolpert "Two eyes for an eye: The neuroscience of force escalation" Science American Association for the Advancement of Science 301 (5630) pp. 187 http://eugrafal.free.fr/SheBayFriWol-Science-2003.pdf (2003)