Optimal numbers and locations of wearable sensors to enhance the performance of classification models that differentiate injurious versus non-injurious transfers
K. Lim, S. Lee, W. J. Choi
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AbstractLow back pain (LBP) is a cause of disability resulting in activity limitation in working age population (Hoy et al., 2014). In particular, patient transfers are known as a common task causing LBP in healthcare providers (Henriques et al., 2019). The National Institute for Occupational Safety and Health (NIOSH) defined a safety criterion to help reduce a risk of LBP during lifting or transferring, where a compressive force at a disc between L5 and S1 (Fc) should be smaller than 3.4 kN to be non-injurious activities (NIOSH, 1981). We simulated patient transfers from bed to wheelchair to develop support vector machine algorithms that differentiate injurious versus non injurious transfers. Then we examined how the model performance was affected by numbers and locations of wearable sensors placed on body segments.Keywords: low back pain, inertial motor unit, support vector machine, patient transfer, careprovider
K. Lim, S. Lee, W. J. Choi (2022). Optimal numbers and locations of wearable sensors to enhance the performance of classification models that differentiate injurious versus non-injurious transfers. Gerontechnology, 21(s),1-1
https://doi.org/10.4017/gt.2022.21.s.537.opp1