Literature DB >> 19964859

deFOG--A real time system for detection and unfreezing of gait of Parkinson's patients.

E Jovanov1, E Wang, L Verhagen, M Fredrickson, R Fratangelo.   

Abstract

Freezing of gait (FOG) is a common complication in movement disorders, typically associated with the advanced stages of Parkinson's disease. Auditory cues might be used to facilitate unfreezing of gait and prevent fall related injuries. We present a wearable, unobtrusive system for real-time gait monitoring, which consists of an inertial wearable sensor and wireless headset for the delivery of acoustic cues. The system recognizes FOG episodes with minimum latency and delivers acoustic cues to unfreeze the gait. We present design of a system for the detection and unfreezing of gait (deFOG), and preliminary results of the feasibility study. In a limited test run of 4 test cases the system was able to detect freezing of gait with average latency of 332 ms, and maximum latency of 580 ms.

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Year:  2009        PMID: 19964859     DOI: 10.1109/IEMBS.2009.5334257

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  16 in total

1.  [Mobile biosensor-based gait analysis: a diagnostic and therapeutic tool in Parkinson's disease].

Authors:  J Klucken; J Barth; K Maertens; B Eskofier; P Kugler; R Steidl; J Hornegger; J Winkler
Journal:  Nervenarzt       Date:  2011-12       Impact factor: 1.214

2.  A wearable inertial measurement unit for long-term monitoring in the dependency care area.

Authors:  Daniel Rodríguez-Martín; Carlos Pérez-López; Albert Samà; Joan Cabestany; Andreu Català
Journal:  Sensors (Basel)       Date:  2013-10-18       Impact factor: 3.576

3.  Real-time gait cycle parameter recognition using a wearable accelerometry system.

Authors:  Che-Chang Yang; Yeh-Liang Hsu; Kao-Shang Shih; Jun-Ming Lu
Journal:  Sensors (Basel)       Date:  2011-07-25       Impact factor: 3.576

Review 4.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

5.  A practical method for the detection of freezing of gait in patients with Parkinson's disease.

Authors:  Yuri Kwon; Sang Hoon Park; Ji-Won Kim; Yeji Ho; Hyeong-Min Jeon; Min-Jung Bang; Gu-In Jung; Seon-Min Lee; Gwang-Moon Eom; Seong-Beom Koh; Jeong-Whan Lee; Heung Seok Jeon
Journal:  Clin Interv Aging       Date:  2014-10-08       Impact factor: 4.458

6.  Effects of Sensitive Electrical Stimulation Based Cueing in Parkinson's Disease: A Preliminary Study.

Authors:  Benoît Sijobert; Christine Azevedo-Coste; David Andreu; Claudia Verna; Christian Geny
Journal:  Eur J Transl Myol       Date:  2016-06-13

Review 7.  Freezing of gait and fall detection in Parkinson's disease using wearable sensors: a systematic review.

Authors:  Ana Lígia Silva de Lima; Luc J W Evers; Tim Hahn; Lauren Bataille; Jamie L Hamilton; Max A Little; Yasuyuki Okuma; Bastiaan R Bloem; Marjan J Faber
Journal:  J Neurol       Date:  2017-03-01       Impact factor: 4.849

8.  Continuous monitoring of turning in patients with movement disability.

Authors:  Mahmoud El-Gohary; Sean Pearson; James McNames; Martina Mancini; Fay Horak; Sabato Mellone; Lorenzo Chiari
Journal:  Sensors (Basel)       Date:  2013-12-27       Impact factor: 3.576

9.  Position and orientation tracking in a ubiquitous monitoring system for Parkinson disease patients with freezing of gait symptom.

Authors:  Boris Takač; Andreu Català; Daniel Rodríguez Martín; Nico van der Aa; Wei Chen; Matthias Rauterberg
Journal:  JMIR Mhealth Uhealth       Date:  2013-07-15       Impact factor: 4.773

10.  l-DOPA and Freezing of Gait in Parkinson's Disease: Objective Assessment through a Wearable Wireless System.

Authors:  Antonio Suppa; Ardian Kita; Giorgio Leodori; Alessandro Zampogna; Ettore Nicolini; Paolo Lorenzi; Rosario Rao; Fernanda Irrera
Journal:  Front Neurol       Date:  2017-08-14       Impact factor: 4.003

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