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Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function

  • Michael A. Lones
  • Stephen L. Smith
  • Andy M. Tyrrell
  • Jane E. Alty
  • D. R. Stuart Jamieson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7223)

Abstract

Artificial biochemical networks (ABNs) are a class of computational automata whose architectures are motivated by the organisation of genetic and metabolic networks. In this work, we investigate whether evolved ABNs can carry out classification when stimulated with time series data collected from human subjects with and without Parkinson’s disease. The evolved ABNs have accuracies in the region of 80-90%, significantly higher than the diagnostic accuracies typically found in initial clinical diagnosis. We also show that relatively simple ABNs, comprising only a small number of discrete maps, are able to recognise the abnormal patterns of motor function associated with Parkinson’s disease.

Keywords

Metabolic Network Biochemical Network Cartesian Genetic Programming Initial Clinical Diagnosis Movement Time Series 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Andersson, C., Nordahl, M.: Evolving Coupled Map Lattices for Computation. In: Banzhaf, W., Poli, R., Schoenauer, M., Fogarty, T.C. (eds.) EuroGP 1998. LNCS, vol. 1391, pp. 151–162. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  2. 2.
    Bajaj, N.P.S., Gontu, V., Birchall, J., Patterson, J., Grosset, D.G., Lees, A.J.: Accuracy of clinical diagnosis in tremulous parkinsonian patients: a blinded video study. J. Neurol. Neurosurg. Psychiatry 81(11), 1223–1228 (2010)CrossRefGoogle Scholar
  3. 3.
    Hüsken, M., Stagge, P.: Recurrent neural networks for time series classification. Neurocomputing 50, 223–235 (2003)zbMATHCrossRefGoogle Scholar
  4. 4.
    Kraemer, H.C., Morgan, G.A., Leech, N.L., Gliner, J.A., Vaske, J.J., Harmon, R.J.: Measures of clinical significance. J. Am. Acad. Child. Adolesc. Psychiatry 42(12), 1524–1529 (2003)CrossRefGoogle Scholar
  5. 5.
    Levine, C.B., Fahrbach, K.R., Siderowf, A.D., Estok, R.P., Ludensky, V.M., Ross, S.D.: Diagnosis and treatment of Parkinson’s disease: a systematic review of the literature. Evid. Rep. Technol. Assess. (Summ.) (57), 1–4 (2003)Google Scholar
  6. 6.
    Lones, M.A., Smith, S.L.: Objective assessment of visuo-spatial ability using implicit context representation cartesian genetic programming. In: Smith, S.L., Cagnoni, S. (eds.) Genetic and Evolutionary Computation: Medical Applications, John Wiley & Sons, Chichester (2010)Google Scholar
  7. 7.
    Lones, M.A., Tyrrell, A.M., Stepney, S., Caves, L.S.D.: Controlling Complex Dynamics with Artificial Biochemical Networks. In: Esparcia-Alcázar, A.I., Ekárt, A., Silva, S., Dignum, S., Uyar, A.Ş. (eds.) EuroGP 2010. LNCS, vol. 6021, pp. 159–170. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  8. 8.
    Lones, M.A., Tyrrell, A.M., Stepney, S., Caves, L.S.D.: Controlling legged robots with coupled artificial biochemical networks. In: Lenaerts, T., et al. (eds.) Proc. 11th European Conference on the Synthesis and Simulation of Living Systems, Advances in Artificial Life, ECAL 2011, pp. 465–472. MIT Press (August 2011)Google Scholar
  9. 9.
    National Institute for Health and Clinical Excellence: Parkinson’s disease: diagnosis and management in primary and secondary care. Royal College of Physicians (2006), http://www.nice.org.uk/CG035
  10. 10.
    Smith, S.L., Gaughan, P., Halliday, D.M., Ju, Q., Aly, N.M., Playfer, J.R.: Diagnosis of Parkinson’s disease using evolutionary algorithms. Genetic Programming and Evolvable Machines 8(4), 433–447 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Michael A. Lones
    • 1
  • Stephen L. Smith
    • 1
  • Andy M. Tyrrell
    • 1
  • Jane E. Alty
    • 2
  • D. R. Stuart Jamieson
    • 2
  1. 1.Department of ElectronicsUniversity of YorkHeslingtonUK
  2. 2.Leeds General InfirmaryLeedsUK

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