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.
Original language | English |
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Title of host publication | Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings |
Editors | Jorge Lozoya-Santos, Francisco Torres Guerrero, Leticia Neira-Tovar, Eduardo Gonzalez Mendivil, Pablo G. Ramirez Flores, Jorge Martin-Gutierrez |
Publisher | Springer Verlag |
Pages | 199-208 |
Number of pages | 10 |
ISBN (Electronic) | 9783319733227 |
ISBN (Print) | 9783319733227 |
DOIs | |
Publication status | Published - 1 Jan 2018 |
Event | 1st EAI International Conference on Smart Technology, MTYMEX 2017 - Monterrey, Mexico Duration: 24 May 2017 → 26 May 2017 |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
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Volume | 213 |
ISSN (Print) | 1867-8211 |
Conference
Conference | 1st EAI International Conference on Smart Technology, MTYMEX 2017 |
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Country/Territory | Mexico |
City | Monterrey |
Period | 24/5/17 → 26/5/17 |
Bibliographical note
Publisher Copyright:© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications