Abstract
Aiming at the problem of massage chair movement signal detection, a signal denoising algorithm based on iForest-EEMD is proposed. Wavelet threshold is used to improve the denoising effect of EEMD algorithm on high frequency signals, and the iForest algorithm is used to eliminate the local noise in the signal. The experimental results show that compared with the EMD and CEEMD noise reduction algorithm, this method has higher accuracy and noise reduction efficiency.
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Lu, L., Wu, D., Li, G., Mitrouchev, P. (2022). Signal Denoising Algorithm of Massage Chair Movement Based on iForest-EEMD. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XI. IWAMA 2021. Lecture Notes in Electrical Engineering, vol 880. Springer, Singapore. https://doi.org/10.1007/978-981-19-0572-8_11
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DOI: https://doi.org/10.1007/978-981-19-0572-8_11
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Online ISBN: 978-981-19-0572-8
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