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

Resultado de la investigación


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.
Idioma originalEnglish
Título de la publicación alojadaSmart Technology - 1st International Conference, MTYMEX 2017, Proceedings
EditoresJorge Lozoya-Santos, Francisco Torres Guerrero, Leticia Neira-Tovar, Eduardo Gonzalez Mendivil, Pablo G. Ramirez Flores, Jorge Martin-Gutierrez
EditorialSpringer Verlag
Número de páginas10
ISBN (versión digital)9783319733227
ISBN (versión impresa)9783319733227
EstadoPublished - 1 ene 2018
Evento1st EAI International Conference on Smart Technology, MTYMEX 2017 - Monterrey
Duración: 24 may 201726 may 2017

Serie de la publicación

NombreLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (versión impresa)1867-8211


Conference1st EAI International Conference on Smart Technology, MTYMEX 2017

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Huella Profundice en los temas de investigación de 'Parkinson’s tremor data analysis device'. En conjunto forman una huella única.

Citar esto