Abstract
In this research, a machine learning approach has been used to solve one of the prominent problems in the healthcare field related to the neurological disorder. Tremor is the most common movement disorder that infects the upper or lower limbs or both extremities which are prevalent in old age population and is increasing at an unstoppable rate. The tremor symptoms are commonly visible in Parkinson’s disease patient, and it can also be a pure tremor. The tremor patients face enormous trouble in performing the daily activity, need the adequate diagnosis and all-time caretaking. In the clinics, the tremor assessment is manual which is a time taking and cumbersome procedure and also hard to classify tremor types.
A novel method for automatic and accurate classification of tremor has been designed and developed using machine learning methods so that adequate diagnosis can be provided to the correct patient.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Carson, S.S.: Respir. Care 57(6), 848 (2012)
Disabled World: Neurological disorders: types, research and treatment news (2019). https://www.disabled-world.com/health/neurology/. Accessed 20 Jan 2019
World Health Organization: Neurological disorders public health challenges (2006). http://www.who.int/mentalhealth/neurology/neurological_disorder_sreport_web.pdf. Accessed 12 Oct 2016
Gallego, J.Á., Rocon, E., Belda-Lois, J.M., Pons, J.L.: J. Neuroengineering Rehabil. 10(1), 36 (2013)
Ondo, W.G.: 10 symptoms (2017). https://www.insightec.com/us/news-events/blog/2017/10-symptoms-that-distinguish-between-tremor-from-essential-tremor-and-parkinsons-disease. Accessed 20 Jan 2019
Jain, S., Lo, S.E., Louis, E.D.: Arch. Neurol. 63(8), 1100 (2006)
Fisher, R.S., Boas, W.v.E., Blume, W., Elger, C., Genton, P., Lee, P., Engel, J.: Epilepsia 46(4), 470 (2005)
Van Someren, E.J., Vonk, B.F., Thijssen, W.A., Speelman, J.D., Schuurman, P.R., Mirmiran, M., Swaab, D.F.: IEEE Trans. Biomed. Eng. 45(3), 386 (1998)
Rigas, G., Tzallas, A.T., Tsalikakis, D.G., Konitsiotis, S., Fotiadis, D.I.: Annual International Conference of the IEEE Engineering in Medicine and Biology Society: EMBC 2009, pp. 1306–1309 (2009)
Empatica Inc.: E4 wristband (2018). https://www.empatica.com/en-gb/research/e4/. Accessed 20 Jan 2019
Fahn, S., Elton, R., Members of the updrs Development Committee: Unified Parkinson’s disease rating scale (2006). https://img.medscape.com/fullsize/701/816/58977_UPDRS.pdf. Accessed 12 June 2018
Kronenbuerger, M., Konczak, J., Ziegler, W., Buderath, P., Frank, B., Coenen, V.A., Kiening, K., Reinacher, P., Noth, J., Timmann, D.: Cerebellum 8(3), 389 (2009)
Grimaldi, G., Manto, M.: Synth. Lect. Biomed. Eng. 3(1), 1 (2008)
Deuschl, M.L.G., Krack, P., Timmer, J.: Clinical neurophysiology of tremor. J. Clin. Neurophysiol. 13, 110–121 (1996). Accessed 20 Nov 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Ranjan, R., Palaniswami, M., Bhushan, B. (2020). A Machine Learning Approach for Classification of Tremor - A Neurological Movement Disorder. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-29513-4_95
Download citation
DOI: https://doi.org/10.1007/978-3-030-29513-4_95
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29512-7
Online ISBN: 978-3-030-29513-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)