Abstract
In Parkinson’s disease the symptoms of motor disability predominate, generating consequences in their quality of life, psychological, social and economic stability. The Unified Parkinson’s Disease Rating Scale is considered as a clinical evaluation method, that is a compendium of subjective interpretations. Alternatively a system called LEEPark is proposed, capable of quantifying the speed of the test of Alternating Hand Movement. The system uses Kinect V2 for data acquisition and features extraction, the results are stored in a database that is subjected to statistical analysis, grouped by degree of disease and by upper extremities. The analysis methods used were: ANOVA, linear regression and quantification of improvement, applied to data collected during 6 sessions from 6 patients: 4 with Parkinson’s disease and 2 control subjects. The results showed contrasts in hand speed, being able to find significant differences between grade 1 and 2 of the disease. It was also possible to establish the decrease in speed as the degree of disease progresses and the percentage of improvement when comparing the effects of medication on the speed of the hands.
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
Batista, P., Pereira, A.: Impact and Prevention of Neurodegenerative Diseases in Society: Alzheimer and Parkinson. Neurodegenerative Diseases (2016)
Bermeo, A., Bravo, M., Huerta, M., Soto, A.: A system to monitor tremors in patients with parkinson’s disease. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5007–5010. IEEE (2016)
Dror, B., Yanai, E., Frid, A., Peleg, N., Goldenthal, N., Schlesinger, I., Hel-Or, H., Raz, S.: Automatic assessment of parkinson’s disease from natural hands movements using 3D depth sensor. In: 2014 IEEE 28th Convention of Electrical Electronics Engineers in Israel (IEEEI), pp. 1–5, December 2014
Organización Médica Colegial de España: Las enfermedades neurodegenerativas afectan a más de un millón de personas en España (2014). http://www.medicosypacientes.com/articulo
Ferraris, C., Nerino, R., Chimienti, A., Pettiti, G., Cau, N., Cimolin, V., Azzaro, C., Albani, G., Priano, L., Mauro, A.: A self-managed system for automated assessment of UPDRS upper limb tasks in parkinson’s disease. Sensors 18(10), 3523 (2018). https://doi.org/10.3390/s18103523
Garcés, M.: Estudio sobre las enfermedades neurodegenerativas en españa y su impacto económico y social. Universidad Complutense y Estudio Neuroalianza, Madrid (2016)
Herdoíza, J.P.M., Perero, P.S.M., Toala, L.E.A., Mercado, E.R.I., Moreira-Vera, D.V.: Prevalencia de la enfermedad de parkinson: Estudio puerta-puerta en la provincia de manabí-ecuador. prevalence of parkinson’s disease: Door-to-door study in manabi-ecuador. Rev. Ecuatoriana de Neurol. 26(1) (2017)
Jefferson Rubio, B.V.: Valoración y análisis de los movimientos de las manos de un paciente de Parkinson según la escala UPDRS usando técnicas de visión artificial con Kinect. Tesis de Grado - FIEC (2015). http://www.dspace.espol.edu.ec/xmlui/handle/123456789/30706
Jennekens, F.G.: A short history of the notion of neurodegenerative disease. J. Hist. Neurosci. 23(1), 85–94 (2014)
MacKinnon, A.: Statistical comparison of results from the timed up and go test, Unified Parkinson’s Disease Rating Scale, Falls Efficacy Scale, and force plate balance measures concerning risk of falls among patients with Parkinson’s Disease. Ph.D. thesis, University of Prince Edward Island (2018)
World Health Organization: Neurological disorders: public health challenges. World Health Organization (2006)
Rosenbaum, R.B.: Understanding Parkinson’s disease: a personal and professional view. Greenwood Publishing Group (2006)
Salvador, A., Alfonso, E.: Validación clínica del Montreal Cognitive Assessment (MOCA) en pacientes con Parkinson en la ciudad de Quito. B.S. thesis, Quito: Universidad de las Américas 2018 (2018)
Saraguro, W., Barzallo, B., Guillermo, J., García-Cedeño, A., Soto, A., Rivas, D., Clotet, R., Huerta, M.: Analysis of hand movements in patients with parkinson’s disease using kinect. In: IEEE International Conference on E-health Networking, Application & Services (2019)
Serrano-Dueñas, M., Martínez-Martín, P., Vaca-Baquero, V.: Validation and cross-cultural adjustment of PDQL-questionnaire, spanish version (ecuador) (PDQL-EV). Parkinsonism Relat. Disord. 10(7), 433–437 (2004)
Today, P.N.: Parkinson’s disease statistics (2019). https://parkinsonsnewstoday.com/parkinsons-disease-statistics/
Urdan, T.C.: Statistics in Plain English. Routledge (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of Comité de Ética de Investigación en Seres Humanos USFQ (2019-011E).
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Saraguro, W. et al. (2020). Analysis of Alternating Hand Movement in Parkinson’s Disease Patients. In: González Díaz, C., et al. VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering. CLAIB 2019. IFMBE Proceedings, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-030-30648-9_144
Download citation
DOI: https://doi.org/10.1007/978-3-030-30648-9_144
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30647-2
Online ISBN: 978-3-030-30648-9
eBook Packages: EngineeringEngineering (R0)