Artificial neural network to predict patient body circumferences and ligament thicknesses

N. Vaughan, V.N. Dubey, Michael, Y.K. Wee, Richard Isaacs

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    An artificial neural network has been implemented and trained with clinical data from 23088 patients. The aim was to predict a patient’s body circumferences and ligament thickness from patient data. A fully connected feed-forward neural network is used, containing no loops and one hidden layer and the learning mechanism is back-propagation of error. Neural network inputs were mass, height, age and gender. There are eight hidden neurons and one output. The network can generate estimates for waist, arm, calf and thigh circumferences and thickness of skin, fat, Supraspinous and interspinous ligaments, ligamentum flavum and epidural space. Data was divided into a training set of 11000 patients and an unseen test data set of 12088 patients. Twenty five training cycles were completed. After each training cycle neuron outputs advanced closer to the clinically measured data. Waist circumference was predicted within 3.92cm (3.10% error), thigh circumference 2.00cm, (2.81% error), arm circumference 1.21cm (2.48% error), calf circumference 1.41cm, (3.40% error), triceps skinfold 3.43mm, (7.80% error), subscapular skinfold 3.54mm, (8.46% error) and BMI was estimated within 0.46 (0.69% error). The neural network has been extended to predict ligament thicknesses using data from MRI. These predictions will then be used to configure a simulator to offer a patient-specific training experience.
    Original languageEnglish
    Title of host publicationProceedings of the ASME Design Engineering Technical Conference
    PublisherAmerican Society of Mechanical Engineers(ASME)
    ISBN (Print)9780791855850
    DOIs
    Publication statusPublished - 4 Aug 2013
    EventASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
    - Portland, United States
    Duration: 4 Aug 20137 Aug 2013

    Conference

    ConferenceASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
    Abbreviated titleIDETC/CIE
    CountryUnited States
    CityPortland
    Period4/08/137/08/13

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  • Cite this

    Vaughan, N., Dubey, V. N., Wee, M. Y. K., & Isaacs, R. (2013). Artificial neural network to predict patient body circumferences and ligament thicknesses. In Proceedings of the ASME Design Engineering Technical Conference American Society of Mechanical Engineers(ASME). https://doi.org/10.1115/DETC2013-13088