References
Cai, G., Lin, Z., Dai, H., Xia, X., Xiong, Y., Horng, S.J., and Lueth, T.C. (2018). Quantitative assessment of Parkinsonian tremor based on a linear acceleration extraction algorithm. BioMed Signal Processing Control 42, 53–62.
Coy, J.A., Pfeiffer, J.H., Krieger, Y.S., Mehrkens, J.H., Botzel, B.K., Lueth, T.C. (2016). Mechatronic device for the optimization of the DBS-electrode placement. 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). Singapore: IEEE 214–219.
Dai, H., Xiong, Y., Cai, G., Xia, X., and Lin, Z. (2018). Parkinson’s Muscle stiffness quantitative monitoring system based on mechanical impedance measurement. Journal of Biomedical Engineering 35: 421–428.
Dong, Z.F., Wang, C.S., Zhang, Y.C., Zhang, Y., Sheng, Y.J., Hu, H., Luo, W.F., and Liu, C.F. (2017). Transcranial sonographic alterations of substantia nigra and third ventricle in Parkinson’s disease with or without dementia. Chin Med J 130, 2291–2295.
Du, J.J., and Chen, S.D. (2017). Current nondopaminergic therapeutic options for motor symptoms of Parkinson’s disease. Chin Med J 130, 1856–1866.
Gao, J., He, W., Du, L.J., Li, S., Cheng, L.G., Shih, G., and Rubin, J. (2016). Ultrasound strain elastography in assessment of resting biceps brachii muscle stiffness in patients with Parkinson’s disease: a primary observation. Clinical Imag 40, 440–444.
Griffiths, R.I., Kotschet, K., Arfon, S., Xu, Z.M., Johnson, W., Drago, J., Evans, A., Kempster, P., Raghav, S., and Horne, M.K. (2012). Automated assessment of bradykinesia and dyskinesia in Parkinson’s disease. J Parkinsons Dis 2, 47–55, doi: 10.3233/JPD-2012-11071.
Giuffrida, J.P., Riley, D.E., Maddux, B.N., and Heldman, D.A. (2009). Clinically deployable Kinesia™ technology for automated tremor assessment. Mov Disord 24, 723–730.
Kwon, Y., Park, S.H., Kim, J.W., Ho, Y., Jeon, H.M., Bang, M.J., Koh, S. B., Kim, J.H., and Eom, G.M. (2014). Quantitative evaluation of parkinsonian rigidity during intra-operative deep brain stimulation. BioMed Mater Eng 24, 2273–2281, doi: 10.3233/BME-141040.
Li, L., Liu, M.S., Li, G.Q., Tang, J., Liao, Y., Zheng, Y., Guo, T.L., Kang, X., and Yuan, M.T. (2017). Relationship between apolipoprotein superfamily and Parkinson’s disease. Chin Med J 130, 2616–2623.
Li, Y., Wang, S.M., Guo, L., Zhu, J., Wang, Y., Li, L., and Zhao, Y.X. (2017). Effects of melatonin levels on neurotoxicity of the medial prefrontal cortex in a rat model of Parkinson’s disease. Chin Med J 130, 2726–2731.
Lin, Z., Xiong, Y., Cai, G., Dai, H., Xia, X., Tan, Y., and Lueth, T.C. (2018). Quantification of Parkinsonian bradykinesia based on axis-angle representation and SVM multiclass classification method. IEEE Access 6, 26895–26903.
Lopane, G., Mellone, S., Chiari, L., Cortelli, P., Calandra-Buonaura, G., and Contin, M. (2015). Dyskinesia detection and monitoring by a single sensor in patients with Parkinson’s disease. Mov Disord 30, 1267–1271.
Shaeffer, D.K. (2013). MEMS inertial sensors: a tutorial overview. IEEE Commun Mag 51, 100–109.
Timmer, J., Haussler, S., Lauk, M., and Lucking, C.H. (2000). Pathological tremors: Deterministic chaos or nonlinear stochastic oscillators? Chaos 10, 278–288.
Wang, Y., Shen, Y., Xiong, K.P., He, P.C., Mao, C.J., Li, J., Wang, F.Y., Wang, Y.L., Huang, J.Y., and Liu, C.F. (2017). Tonic electromyogram density in multiple system atrophy with predominant Parkinsonism and Parkinson’s disease. Chin Med J 130, 684.
Zhang, J.R., Chen, J., Yang, Z.J., Zhang, H.J., Fu, Y.T., Shen, Y., He, P.C., Mao, C.J., and Liu, C.F. (2016). Rapid eye movement sleep behavior disorder symptoms correlate with domains of cognitive impairment in Parkinson’s disease. Chin Med J 129, 379.
Zhao, Y., Ramesberger, S., Fietzek, U.M., D′Angelo, L.T., and Lueth, T.C. (2013). A novel wearable laser device to regulate stride length in Parkinson’s disease. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Osaka: IEEE 5895–5898, doi: 10.1109/EMBC.2013.6610893.
Acknowledgements
This work was supported by the Joint Funds for the innovation of Science and Technology, Fuian province (2017Y9010) & the National Natural Science Foundation of China (81671265).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhong, X., Zheng, J. & Ye, Q. Advances in quantitative assessment of parkinsonian motor symptoms with wearable devices. Sci. China Life Sci. 61, 1589–1592 (2018). https://doi.org/10.1007/s11427-018-9434-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11427-018-9434-5