Next Article in Journal
Social Welfare Control in Mobile Crowdsensing Using Zero-Determinant Strategy
Next Article in Special Issue
A Fast, Efficient Domain Adaptation Technique for Cross-Domain Electroencephalography(EEG)-Based Emotion Recognition
Previous Article in Journal
Synergetic Effects of Combined Nanomaterials for Biosensing Applications
Previous Article in Special Issue
Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(5), 1006; doi:10.3390/s17051006

Support System to Improve Reading Activity in Parkinson’s Disease and Essential Tremor Patients

1
Faculty of Computer Science, Complutense University of Madrid, Av. Séneca, 2, 28040 Madrid, Spain
2
Neurology Department, “La Princesa” University Hospital, Calle de Diego Leon, 62, 28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Wendong Xiao
Received: 15 February 2017 / Revised: 19 April 2017 / Accepted: 25 April 2017 / Published: 3 May 2017
(This article belongs to the Special Issue Sensors and Analytics for Precision Medicine)
View Full-Text   |   Download PDF [3665 KB, uploaded 3 May 2017]   |  

Abstract

The use of information and communication technologies (ICTs) to improve the quality of life of people with chronic and degenerative diseases is a topic receiving much attention nowadays. We can observe that new technologies have driven numerous scientific projects in e-Health, encompassing Smart and Mobile Health, in order to address all the matters related to data processing and health. Our work focuses on helping to improve the quality of life of people with Parkinson’s Disease (PD) and Essential Tremor (ET) by means of a low-cost platform that enables them to read books in an easy manner. Our system is composed of two robotic arms and a graphical interface developed for Android platforms. After several tests, our proposal has achieved a 96.5% accuracy for A4 80 gr non-glossy paper. Moreover, our system has outperformed the state-of-the-art platforms considering different types of paper and inclined surfaces. The feedback from ET and PD patients was collected at “La Princesa” University Hospital in Madrid and was used to study the user experience. Several features such as ease of use, speed, correct behavior or confidence were measured via patient feedback, and a high level of satisfaction was awarded to most of them. According to the patients, our system is a promising tool for facilitating the activity of reading. View Full-Text
Keywords: Parkinson’s disease; essential tremor; e-health; user experience Parkinson’s disease; essential tremor; e-health; user experience
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Parrales Bravo, F.; Del Barrio García, A.A.; Gallego de la Sacristana, M.; López Manzanares, L.; Vivancos, J.; Ayala Rodrigo, J.L. Support System to Improve Reading Activity in Parkinson’s Disease and Essential Tremor Patients. Sensors 2017, 17, 1006.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top