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Parkinson’s tremor data analysis device

*Corresponding author for this work
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Publication metrics

Metrics

SciVal
Citations
1
Scopus
Citations
SciVal
Author count
7
SciVal
Paper percentile
26

Abstract

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.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English

Pages from-to (Number of pages)

Pages 199-208 (10 pages)

Publication milestones

  • Published - 01/01/2018

Publication status

Published - 01/01/2018

Publisher

Springer Verlag, Germany

Publication series

  • Publication series name: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
    ISSN (Print): 1867-8211
    Volume: 213
9783319733227

ISBN (Electronic)

9783319733227

Publication IDs

  • Scopus: 85044477160
  • Scopus: 85044477160

Host publication title

Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings

Host publication editors

  • Jorge Lozoya-Santos
  • Francisco Torres Guerrero
  • Leticia Neira-Tovar
  • Eduardo Gonzalez Mendivil
  • Pablo G. Ramirez Flores
  • Jorge Martin-Gutierrez

Related Event

Title

1st EAI International Conference on Smart Technology, MTYMEX 2017

Event type

Conference

Date

24/05/2017 - 26/05/2017

Location

MonterreyMexico