Next Article in Journal
Label-Free Immunodetection in High Ionic Strength Solutions Using Carbon Nanotube Transistors with Nanobody Receptors
Previous Article in Journal
Photonic Gas Sensor Using a Silicon Strip Waveguide
Article Menu
Issue 4 (Eurosensors 2017) cover image

Article Versions

Export Article

Open AccessProceedings
Proceedings 2017, 1(4), 565; doi:10.3390/proceedings1040565

Wireless Sensing System for Long-Time Assistance in the Parkinson’s Disease

1
Department of Information Engineering, Electronics and Telecommunications, Sapienza University, Rome, Italy
2
Department of Neurology and Psichiatry, Sapienza University, Rome, Italy
3
IRCSS-NEUROMED Institute, Pozzilli, Italy
Presented at the Eurosensors 2017 Conference, Paris, France, 3–6 September 2017.
*
Author to whom correspondence should be addressed.
Published: 25 August 2017
(This article belongs to the Proceedings of Eurosensors 2017)
Download PDF [1397 KB, uploaded 26 August 2017]

Abstract

A non-invasive wearable wireless sensing system for assisting patients affected by Parkinson’s Disease is proposed. It uses inertial sensors to recognize gait states and involuntary gait freezing. The system is designed for indoor and outdoor long-time monitoring and realizes an individual electronic diary useful for doctors for estimating better the stage of the disease and customizing the pharmacological therapy. Standard tests were performed on a noticeable number of patients. The system performances are the state-of-art in the detection of specific movement disorders of PD patients. The algorithm demonstrated its reliability and robustness respect to individual specific gait and postural behaviors.
Keywords: body sensor network; wearable device for healthcare; inertial sensing; long-time monitoring; Parkinson’s Disease body sensor network; wearable device for healthcare; inertial sensing; long-time monitoring; Parkinson’s Disease
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

Irrera, F.; Kita, A.; Rao, R.; Suppa, A. Wireless Sensing System for Long-Time Assistance in the Parkinson’s Disease. Proceedings 2017, 1, 565.

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.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Proceedings EISSN 2504-3900 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top