Analysis of hand movements in patients with Parkinson's Disease using Kinect

W. Saraguro, B. Barzallo, J. Guillermo, A. Garcia-Cedeno, A. Soto, D. Rivas, R. Clotet, M. Huerta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Parkinson's Disease (PD) is the second most prevalent neurodegenerative disorder after Alzheimer's disease. It mainly affects the area of the brain that is responsible for the coordination of movements. The main symptoms that appear in Parkinson's disease are: resting tremor, rigidity, bradykinesia, among others. Due to these symptoms and as the disease progresses in patients, it is difficult to perform daily activities and socialize with other people. The traditional system of evaluation of the disease is tedious due to the constant physical repetitions performed by the patient and its result is subject to the expertise of the specialist. To solve this problem, in the present work we have developed a system capable of analyzing hand movements based on the Unified Parkinson's Disease Rating Scale (UPDRS) scale using finger tapping test, in patients with PD using the Kinect v2 device. Four patients with Parkinson's disease and two healthy patients were tested during six sessions; the results showed that 83.3% of the sample had lower velocity in the upper right extremity. A tendency analysis determined that 75% of patients with Parkinson's disease had a possible decrease in speed in one or both limbs. The system proved to be appropriate for tremor monitoring and is a tool to support the neurologist in its final diagnosis.

Original languageEnglish
Title of host publication2019 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728104027
DOIs
StatePublished - Oct 2019
Event21st IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2019 - Bogota, Colombia
Duration: 14 Oct 201916 Oct 2019

Publication series

Name2019 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2019

Conference

Conference21st IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2019
Country/TerritoryColombia
CityBogota
Period14/10/1916/10/19

Bibliographical note

Funding Information:
The authors gratefully acknowledge the support of the Project named “SISMO-NEURO: Análisis del Movimiento Corporal en Enfermedades Neurológicas” (Analysis of the Body Movement in neurological diseases) of Universidad Politécnica Salesiana from Ecuador. Also to all patients who contributed to this study.

Funding Information:
*This work was supported by Universidad Politécnica Salesiana with project SISMO-NEURO 1W. Saraguro, B. Barzallo, J. Guillermo, A. García-Cedeño, A. Soto and M. Huerta Author are with Grupo de Investigación en Telecomunicaciones y Telemática, Universidad Politécnica Salesiana, Cuenca, Ecuador; (e-mail: wsaraguro@est.ups.edu.ec, bbarzallo@ups.edu.ec, jguillermo@ups.edu.ec, agarciac@ups.edu.ec, asoto@ups.edu.ec and mhuerta@ups.edu.ec) 2Rivas D. is with Universidad de las Fuerzas Armadas ESPE, Latacunga, Ecuador. (e-mail: drrivas@espe.edu.ec) 3Clotet. R is with Valencian International University, Valencia, Spain. (e-mail: roger.clotet@campusviu.es)

Funding Information:
This work was supported by Universidad Politecnica Salesiana with project SISMO-NEURO

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Finger tapping test
  • Kinect V2 sensor
  • Medical application
  • Parkinson's Disease

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