This paper is in the following e-collection/theme issue:

Ubiquitous Health (uHealth) (123) Mobile Health (mhealth) (2939) Special Theme Issue (2013) "Internet of Things" (Guest Editors: Jara, Koch, Ray et al.) (6) Internet of Things (79)

Published on in Vol 1, No 2 (2013): Jul-Dec

Position and Orientation Tracking in a Ubiquitous Monitoring System for Parkinson Disease Patients With Freezing of Gait Symptom

Position and Orientation Tracking in a Ubiquitous Monitoring System for Parkinson Disease Patients With Freezing of Gait Symptom

Position and Orientation Tracking in a Ubiquitous Monitoring System for Parkinson Disease Patients With Freezing of Gait Symptom

Authors of this article:

Boris Takač1, 2 ;   Andreu Català1 ;   Daniel Rodríguez Martín1 ;   Nico van der Aa3 ;   Wei Chen2 ;   Matthias Rauterberg2
Article Authors Cited by (27) Tweetations (1) Metrics

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  11. Mazzetta I, Zampogna A, Suppa A, Gumiero A, Pessione M, Irrera F. Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson’s Disease Using Electromyography and Inertial Signals. Sensors 2019;19(4):948 View
  12. LEMOYNE R, MASTROIANNI T. IMPLEMENTATION OF A SMARTPHONE AS A WIRELESS ACCELEROMETER PLATFORM FOR QUANTIFYING HEMIPLEGIC GAIT DISPARITY IN A FUNCTIONALLY AUTONOMOUS CONTEXT. Journal of Mechanics in Medicine and Biology 2018;18(02):1850005 View
  13. Bergamini E, Ligorio G, Summa A, Vannozzi G, Cappozzo A, Sabatini A. Estimating Orientation Using Magnetic and Inertial Sensors and Different Sensor Fusion Approaches: Accuracy Assessment in Manual and Locomotion Tasks. Sensors 2014;14(10):18625 View
  14. Suppa A, Kita A, Leodori G, Zampogna A, Nicolini E, Lorenzi P, Rao R, Irrera F. l-DOPA and Freezing of Gait in Parkinson’s Disease: Objective Assessment through a Wearable Wireless System. Frontiers in Neurology 2017;8 View
  15. Zhang H, Song C, Rathore A, Huang M, Zhang Y, Xu W. mHealth Technologies Towards Parkinson's Disease Detection and Monitoring in Daily Life: A Comprehensive Review. IEEE Reviews in Biomedical Engineering 2021;14:71 View
  16. Kour N, Sunanda , Arora S. Computer-Vision Based Diagnosis of Parkinson’s Disease via Gait: A Survey. IEEE Access 2019;7:156620 View
  17. Huang T, Li M, Huang J. Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson’s disease: A systematic review. Frontiers in Aging Neuroscience 2023;15 View
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Books/Policy Documents

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