Abstract
This paper presents some preliminary validation study results pertaining to our ongoing attempts to develop a noninvasive scoliosis and other spine disorder automated diagnostic solution implemented using commodity sensors only, thus limiting its overall cost, but still achieving adequate precision. The cost of many such commercial solutions is prohibitive to have them acquired and used by student healthcare institutes in countries such as Serbia, thus we are developing a low-cost one. If proven effective our solutions will be open-sourced.
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Dimitrijević, D. et al. (2016). Towards Automatic Screening of Idiopathic Scoliosis Using Low-Cost Commodity Sensors—Validation Study. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-319-31307-8_12
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DOI: https://doi.org/10.1007/978-3-319-31307-8_12
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