A Real-Time Voluntary Motion Extraction Method Based on an Adaptive Filter

Mingyuan Xie; Jinhua She; Zhen-Tao Liu; Zhaohui Yang

doi:10.20965/jaciii.2023.p0372

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JACIII Vol.27 No.3 pp. 372-377

doi: 10.20965/jaciii.2023.p0372

(2023)

Research Paper:

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A Real-Time Voluntary Motion Extraction Method Based on an Adaptive Filter

Mingyuan Xie^1,2,3 , Jinhua She^4 , Zhen-Tao Liu^1,2,3,† , and Zhaohui Yang^5

^*1School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan, Wuhan 430074, China

^*2Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
No.388 Lumo Road, Hongshan, Wuhan 430074, China

^*3Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
No.388 Lumo Road, Hongshan, Wuhan 430074, China

^*4School of Engineering, Tokyo University of Technology
1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan

^*5Department of Rehabilitation, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
No.1277 Jiefang Road, Jianghan, Wuhan 430022, China

^†Corresponding author

Received:

December 27, 2022

Accepted:

January 5, 2023

Published:

May 20, 2023

Keywords:

tremor suppression, adaptive filter, voluntary motion

Abstract

Tremors are a symptom of several disorders of the central and peripheral nervous systems, such as Parkinson’s disease (PD). Exoskeletons have been investigated as noninvasive tremor suppression alternatives to medication and surgery. The challenge in musculoskeletal tremor suppression is attenuation of tremor motion without impeding the patient’s voluntary motion. Linear low-pass filters (LPFs) are commonly used for tremor removal. This study presents an alternative method based on an adaptive filter. We compare the effectiveness of the LPFs and adaptive filter on the recorded acceleration signals from an online database.

Filter performances of adaptive filter and linear LPFs

Cite this article as:

M. Xie, J. She, Z. Liu, and Z. Yang, “A Real-Time Voluntary Motion Extraction Method Based on an Adaptive Filter,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.3, pp. 372-377, 2023.

Data files:

References

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This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] S. Abirami B, E. F. Sundarsingh, and V. S. Ramalingam, “On-Body RF Sensor Toward Tremor Detection in Parkinson’s Disease,” IEEE/ASME Trans. on Mechatronics, Vol.26, No.5, pp. 2814-2817, 2021. https://doi.org/10.1109/TMECH.2020.3045139

[2] [2] L. Livi, A. Sadeghian, and H. Sadeghian, “Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures,” IEEE Trans. on Biomedical Engineering, Vol.63, No.11, pp. 2243-2249, 2016. https://doi.org/10.1109/tbme.2016.2515760

[3] [3] J. Pagonabarraga, “Parkinson’s Disease: Definition, Diagnosis, and Management,” K. Kompoliti and L. V. Metman (Eds.), “Encyclopedia of Movement Disorders,” pp. 405-412, Academic Press, Oxford, 2010.

[4] [4] C. R. Kelley and J. L. Kauffman, “Tremor-Active Controller for Dielectric Elastomer-Based Pathological Tremor Suppression,” IEEE/ASME Trans. on Mechatronics, Vol.25, No.2, pp. 1143-1148, 2020. https://doi.org/10.1109/TMECH.2020.2972884

[5] [5] M. Alonso-Juarez, D. Torres-Russotto, P. Crespo-Morfin, and J. F. Baizabal-Carvallo, “The clinical features and functional impact of valproate-induced tremor,” Parkinsonism and Related Disorders, Vol.44, pp. 147-150, 2017. https://doi.org/10.1016/j.parkreldis.2017.09.011

[6] [6] S. Dosen, S. Muceli, J. L. Dideriksen, J. P. Romero, E. Rocon, J. Pons, and D. Farina, “Online Tremor Suppression Using Electromyography and Low-Level Electrical Stimulation,” IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol.23, No.3, pp. 385-395, 2015. https://doi.org/10.1109/tnsre.2014.2328296

[7] [7] S. Pledgie, K. E. Barner, S. K. Agrawal, and T. Rahman, “Tremor suppression through impedance control,” IEEE Trans. on Rehabilitation Engineering, Vol.8, No.1, pp. 53-59, 2000. https://doi.org/10.1109/86.830949

[8] [8] G. Herrnstadt and C. Menon, “Admittance-Based Voluntary-Driven Motion with Speed-Controlled Tremor Rejection,” IEEE/ASME Trans. on Mechatronics, Vol.21, No.4, pp. 2108-2119, 2016. https://doi.org/10.1109/TMECH.2016.2555811

[9] [9] B. Taheri, D. Case, and E. Richer, “Robust Controller for Tremor Suppression at Musculoskeletal Level in Human Wrist,” IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol.22, No.2, pp. 379-388, 2014. https://doi.org/10.1109/TNSRE.2013.2295034

[10] [10] C. A. Vaz and N. V. Thakor, “Adaptive Fourier estimation of time-varying evoked potentials,” IEEE Trans. on Biomedical Engineering, Vol.36, No.4, pp. 448-455, 1989. https://doi.org/10.1109/10.18751

[11] [11] C. N. Riviere, R. S. Rader, and N. V. Thakor, “Adaptive cancelling of physiological tremor for improved precision in microsurgery,” IEEE Trans. on Biomedical Engineering, Vol.45, No.7, pp. 839-846, 1998. https://doi.org/10.1109/10.686791

[12] [12] S. Wang, Y. Gao, J. Zhao, and H. Cai, “Adaptive sliding bandlimited multiple Fourier linear combiner for estimation of pathological tremor,” Biomedical Signal Processing and Control, Vol.10, pp. 260-274, 2014. https://doi.org/10.1016/j.bspc.2013.10.004

[13] [13] S. Mellone, L. Palmerini, A. Cappello, and L. Chiari, “Hilbert–Huang-Based Tremor Removal to Assess Postural Properties from Accelerometers,” IEEE Trans. on Biomedical Engineering, Vol.58, No.6, pp. 1752-1761, 2011. https://doi.org/10.1109/TBME.2011.2116017

[14] [14] D. Sarikaya, J. J. Corso, and K. A. Guru, “Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection,” IEEE Trans. on Medical Imaging, Vol.36, No.7, pp. 1542-1549, 2017. https://doi.org/10.1109/TMI.2017.2665671

[15] [15] A. Ibrahim, Y. Zhou, M. E. Jenkins, A. L. Trejos, and M. D. Naish, “Real-Time Voluntary Motion Prediction and Parkinson’s Tremor Reduction Using Deep Neural Networks,” IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol.29, pp. 1413-1423, 2021. https://doi.org/10.1109/TNSRE.2021.3097007

[16] [16] K. F. Chen and Y. F. Li, “Combining the Hanning Windowed Interpolated FFT in Both Directions,” Computer Physics Communications, Vol.178, No.12, pp. 924-928, 2008. https://doi.org/10.1016/j.cpc.2008.02.008

[17] [17] K.-Z. Liu and Y. Yao, “Robust control: Theory and applications,” John Wiley & Sons, 2016.

[18] [18] J. Timmer, S. Häußler, M. Lauk, and C.-H. Lücking, “Pathological tremors: Deterministic chaos or nonlinear stochastic oscillators?,” Chaos: An Interdisciplinary J. of Nonlinear Science, Vol.10, No.1, pp. 278-288, 2000. https://doi.org/10.1063/1.166494

[19] [19] B. Taheri, D. Case, and E. Richer, “Adaptive Suppression of Severe Pathological Tremor by Torque Estimation Method,” IEEE/ASME Trans. on Mechatronics, Vol.20, No.2, pp. 717-727, 2015. https://doi.org/10.1109/TMECH.2014.2317948

A Real-Time Voluntary Motion Extraction Method Based on an Adaptive Filter

Mingyuan Xie*1,*2,*3 , Jinhua She*4 , Zhen-Tao Liu*1,*2,*3,† , and Zhaohui Yang*5

Mingyuan Xie^1,2,3 , Jinhua She^4 , Zhen-Tao Liu^1,2,3,† , and Zhaohui Yang^5