Literature DB >> 11295779

Validation for tremor quantification of an electromagnetic tracking device.

P E O'Suilleabhain1, R B Dewey.   

Abstract

An electromagnetic tracking system was used to record arm motion in subjects with Parkinson's disease (n = 23), essential tremor (n = 28) or without neurological disease (n = 4). Tremor magnitude was calculated by averaging the three-dimensional displacement of individual tremor bursts. Tremor magnitude calculated in this manner was quite closely correlated with a clinician's estimate (r = 0.88 and 0.86 for Parkinsonian and essential tremors, respectively) and was reproducible (r = 0.93 for repeated recordings). The accuracy of the device and algorithm was confirmed by mechanically generating oscillations of known magnitudes and frequencies. This device is adaptable for quantifying different types of tremors and its accuracy is easy to verify. Because position rather than acceleration is tracked, tremor amplitude can be stated in readily comprehensible units. Copyright 2001 Movement Disorder Society.

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Year:  2001        PMID: 11295779     DOI: 10.1002/mds.1064

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  9 in total

1.  A simple and inexpensive test-rig for evaluating the performance of motion sensors used in movement disorders research.

Authors:  Thushara Perera; Shivanthan A C Yohanandan; Hugh J McDermott
Journal:  Med Biol Eng Comput       Date:  2015-05-29       Impact factor: 2.602

2.  Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language.

Authors:  Xing Liang; Epaminondas Kapetanios; Bencie Woll; Anastassia Angelopoulou
Journal:  IFIP Adv Inf Commun Technol       Date:  2019-08-23

3.  Clinicians' Tendencies to Under-Rate Parkinsonian Tremors in the Less Affected Hand.

Authors:  Hong Ji Lee; Sang Kyong Kim; Hyeyoung Park; Han Byul Kim; Hyo Seon Jeon; Yu Jin Jung; Eungseok Oh; Hee Jin Kim; Ji Young Yun; Beom S Jeon; Kwang Suk Park
Journal:  PLoS One       Date:  2015-06-25       Impact factor: 3.240

4.  PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease.

Authors:  Alexandros T Tzallas; Markos G Tsipouras; Georgios Rigas; Dimitrios G Tsalikakis; Evaggelos C Karvounis; Maria Chondrogiorgi; Fotis Psomadellis; Jorge Cancela; Matteo Pastorino; María Teresa Arredondo Waldmeyer; Spiros Konitsiotis; Dimitrios I Fotiadis
Journal:  Sensors (Basel)       Date:  2014-11-11       Impact factor: 3.576

5.  Digitized Spiral Drawing: A Possible Biomarker for Early Parkinson's Disease.

Authors:  Marta San Luciano; Cuiling Wang; Roberto A Ortega; Qiping Yu; Sarah Boschung; Jeannie Soto-Valencia; Susan B Bressman; Richard B Lipton; Seth Pullman; Rachel Saunders-Pullman
Journal:  PLoS One       Date:  2016-10-12       Impact factor: 3.240

6.  Quantitative measures of postural tremor at the upper limb joints in patients with essential tremor.

Authors:  Do-Young Kwon; Yu-Ri Kwon; Yoon-Hyeok Choi; Gwang-Moon Eom; Junghyuk Ko; Ji-Won Kim
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

Review 7.  Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms.

Authors:  Anirudha S Chandrabhatla; I Jonathan Pomeraniec; Alexander Ksendzovsky
Journal:  NPJ Digit Med       Date:  2022-03-18

8.  Quantitative Measurement of Akinesia in Parkinson's Disease.

Authors:  Lissette Lalvay; Miguel Lara; Andrea Mora; Fernando Alarcón; Manuel Fraga; Jesús Pancorbo; José Luis Marina; María Ángeles Mena; Jose Luis Lopez Sendón; Justo García de Yébenes
Journal:  Mov Disord Clin Pract       Date:  2016-08-03

9.  Using a smart phone as a standalone platform for detection and monitoring of pathological tremors.

Authors:  Jean-François Daneault; Benoit Carignan; Carl Éric Codère; Abbas F Sadikot; Christian Duval
Journal:  Front Hum Neurosci       Date:  2013-01-18       Impact factor: 3.169

  9 in total

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