Parkinson’s tremor data analysis device

Valeria P. Alanis, Hiram A. Cantú, Umberto León, Alejandro Melo, Julio C. Salinas, Diego Velasco, Jorge de J. Lozoya-Santos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018. This work presents the results of a technical pilot study to assess the feasibility of using accelerometer and gyroscope data to estimate the severity of motor complications in patients with PD. A wearable measuring device for patient’s wrist was developed to estimate the severity of tremor movements on patients. These measurements were possible essentially using an Inertial Measurement Unit MPU-6050 which gives angular velocity and acceleration data of movements. Results derived from the prototype, the IMU specifically, were analyzed to assess the accuracy of the device to prove its utility for the estimation of clinical scores of the duration and frequency of the tremor. The proposed device can potentially track the parkinsonian tremor status throughout real time which includes a subject database to quantify the progression of PD. Drug therapy dosage could be optimized with quantified feedback from the proposed device. Quantitative assessments using wearable technology may allow for continuous, unobtrusive, objective, and ecologically valid data collection. Such measures have the potential to be used as parameters in clinical trials, allowing for frequent assessments. The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor.
Original languageEnglish
Title of host publicationSmart Technology - 1st International Conference, MTYMEX 2017, Proceedings
EditorsJorge Lozoya-Santos, Francisco Torres Guerrero, Leticia Neira-Tovar, Eduardo Gonzalez Mendivil, Pablo G. Ramirez Flores, Jorge Martin-Gutierrez
PublisherSpringer Verlag
Pages199-208
Number of pages10
ISBN (Electronic)9783319733227
ISBN (Print)9783319733227
DOIs
Publication statusPublished - 1 Jan 2018
Event1st EAI International Conference on Smart Technology, MTYMEX 2017 - Monterrey, Mexico
Duration: 24 May 201726 May 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume213
ISSN (Print)1867-8211

Conference

Conference1st EAI International Conference on Smart Technology, MTYMEX 2017
CountryMexico
CityMonterrey
Period24/5/1726/5/17

Fingerprint

Drug therapy
Units of measurement
Gyroscopes
Angular velocity
Accelerometers
Computer science
Telecommunication
Feedback
Monitoring
Sensors
Experiments
Wearable technology

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Alanis, V. P., Cantú, H. A., León, U., Melo, A., Salinas, J. C., Velasco, D., & Lozoya-Santos, J. D. J. (2018). Parkinson’s tremor data analysis device. In J. Lozoya-Santos, F. Torres Guerrero, L. Neira-Tovar, E. Gonzalez Mendivil, P. G. Ramirez Flores, & J. Martin-Gutierrez (Eds.), Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings (pp. 199-208). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 213). Springer Verlag. https://doi.org/10.1007/978-3-319-73323-4_19, https://doi.org/10.1007/978-3-319-73323-4_19
Alanis, Valeria P. ; Cantú, Hiram A. ; León, Umberto ; Melo, Alejandro ; Salinas, Julio C. ; Velasco, Diego ; Lozoya-Santos, Jorge de J. / Parkinson’s tremor data analysis device. Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings. editor / Jorge Lozoya-Santos ; Francisco Torres Guerrero ; Leticia Neira-Tovar ; Eduardo Gonzalez Mendivil ; Pablo G. Ramirez Flores ; Jorge Martin-Gutierrez. Springer Verlag, 2018. pp. 199-208 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).
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Alanis, VP, Cantú, HA, León, U, Melo, A, Salinas, JC, Velasco, D & Lozoya-Santos, JDJ 2018, Parkinson’s tremor data analysis device. in J Lozoya-Santos, F Torres Guerrero, L Neira-Tovar, E Gonzalez Mendivil, PG Ramirez Flores & J Martin-Gutierrez (eds), Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 213, Springer Verlag, pp. 199-208, 1st EAI International Conference on Smart Technology, MTYMEX 2017, Monterrey, Mexico, 24/5/17. https://doi.org/10.1007/978-3-319-73323-4_19, https://doi.org/10.1007/978-3-319-73323-4_19

Parkinson’s tremor data analysis device. / Alanis, Valeria P.; Cantú, Hiram A.; León, Umberto; Melo, Alejandro; Salinas, Julio C.; Velasco, Diego; Lozoya-Santos, Jorge de J.

Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings. ed. / Jorge Lozoya-Santos; Francisco Torres Guerrero; Leticia Neira-Tovar; Eduardo Gonzalez Mendivil; Pablo G. Ramirez Flores; Jorge Martin-Gutierrez. Springer Verlag, 2018. p. 199-208 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 213).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Alanis, Valeria P.

AU - Cantú, Hiram A.

AU - León, Umberto

AU - Melo, Alejandro

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AU - Lozoya-Santos, Jorge de J.

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Alanis VP, Cantú HA, León U, Melo A, Salinas JC, Velasco D et al. Parkinson’s tremor data analysis device. In Lozoya-Santos J, Torres Guerrero F, Neira-Tovar L, Gonzalez Mendivil E, Ramirez Flores PG, Martin-Gutierrez J, editors, Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings. Springer Verlag. 2018. p. 199-208. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). https://doi.org/10.1007/978-3-319-73323-4_19, https://doi.org/10.1007/978-3-319-73323-4_19