Literature DB >> 23639618

An accelerometry-based study of lower and upper limb tremor in Parkinson's disease.

Blake K Scanlon1, Bonnie E Levin, Daniel A Nation, Heather L Katzen, Alexandra Guevara-Salcedo, Carlos Singer, Spiridon Papapetropoulos.   

Abstract

Over the past two decades, several studies have aimed to quantify the kinetic properties of tremor with primary focus on the upper limbs. However, there is a lack of investigation into the properties of tremor in the lower limbs. The objective of this preliminary study was to investigate the properties of oscillatory movement, at rest and in posture, in both the upper and lower limbs of Parkinson's disease (PD) patients with clinically undetectable to modest rest/postural tremor and healthy controls. PD patients (N = 16) and controls (N = 8) were examined clinically by a movement disorders specialist and oscillatory movements in all four extremities were evaluated using a portable biaxial accelerometer. While tremor intensity and frequency did not differ between groups, the intraindividual variability of rest and postural tremor frequency in the dexterity-dominant lower limb was lower in people living with PD than in healthy adults. Additionally, rest tremor frequency was discrepant between upper and lower limbs in PD. Our work introduces the possibility that minute variations in lower limb movements, which are imperceptible upon expert clinical exam, can be used to differentiate a diseased sample from a healthy one. These preliminary findings suggest that additional work using objective tremor measurement may improve our understanding of lower limb motor dysfunction in PD and lead to the refinement of current, and the development of new, metrics to enhance early diagnosis, differential diagnosis, and symptom quantification. Published by Elsevier Ltd.

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Mesh:

Year:  2013        PMID: 23639618     DOI: 10.1016/j.jocn.2012.06.015

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  10 in total

1.  Postural strategies assessed with inertial sensors in healthy and parkinsonian subjects.

Authors:  Chiara Baston; Martina Mancini; Bernadette Schoneburg; Fay Horak; Laura Rocchi
Journal:  Gait Posture       Date:  2014-03-02       Impact factor: 2.840

Review 2.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Authors:  Erika Rovini; Carlo Maremmani; Filippo Cavallo
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

3.  A role for accelerometry in the differential diagnosis of tremor syndromes.

Authors:  F Bove; G Di Lazzaro; D Mulas; F Cocciolillo; D Di Giuda; A R Bentivoglio
Journal:  Funct Neurol       Date:  2018 Jan/Mar

4.  Standardized handwriting to assess bradykinesia, micrographia and tremor in Parkinson's disease.

Authors:  Esther J Smits; Antti J Tolonen; Luc Cluitmans; Mark van Gils; Bernard A Conway; Rutger C Zietsma; Klaus L Leenders; Natasha M Maurits
Journal:  PLoS One       Date:  2014-05-22       Impact factor: 3.240

Review 5.  Wearable sensors for clinical applications in epilepsy, Parkinson's disease, and stroke: a mixed-methods systematic review.

Authors:  Dongni Johansson; Kristina Malmgren; Margit Alt Murphy
Journal:  J Neurol       Date:  2018-02-09       Impact factor: 4.849

6.  A low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease.

Authors:  Gregory Neal McKay; Timothy P Harrigan; James Robert Brašić
Journal:  MethodsX       Date:  2019-01-04

7.  An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson's Disease.

Authors:  Giovanni Albani; Claudia Ferraris; Roberto Nerino; Antonio Chimienti; Giuseppe Pettiti; Federico Parisi; Gianluigi Ferrari; Nicola Cau; Veronica Cimolin; Corrado Azzaro; Lorenzo Priano; Alessandro Mauro
Journal:  Sensors (Basel)       Date:  2019-11-02       Impact factor: 3.576

8.  Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson's disease.

Authors:  Gloria Vergara-Diaz; Jean-Francois Daneault; Federico Parisi; Chen Admati; Christina Alfonso; Matilde Bertoli; Edoardo Bonizzoni; Gabriela Ferreira Carvalho; Gianluca Costante; Eric Eduardo Fabara; Naama Fixler; Fatemah Noushin Golabchi; John Growdon; Stefano Sapienza; Phil Snyder; Shahar Shpigelman; Lewis Sudarsky; Margaret Daeschler; Lauren Bataille; Solveig K Sieberts; Larsson Omberg; Steven Moore; Paolo Bonato
Journal:  Sci Data       Date:  2021-02-05       Impact factor: 6.444

9.  Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease.

Authors:  Florian Lipsmeier; Kirsten I Taylor; Ronald B Postuma; Ekaterina Volkova-Volkmar; Timothy Kilchenmann; Brit Mollenhauer; Atieh Bamdadian; Werner L Popp; Wei-Yi Cheng; Yan-Ping Zhang; Detlef Wolf; Jens Schjodt-Eriksen; Anne Boulay; Hanno Svoboda; Wagner Zago; Gennaro Pagano; Michael Lindemann
Journal:  Sci Rep       Date:  2022-07-15       Impact factor: 4.996

10.  Quantification of Hand Motor Symptoms in Parkinson's Disease: A Proof-of-Principle Study Using Inertial and Force Sensors.

Authors:  Josien C van den Noort; Rens Verhagen; Kees J van Dijk; Peter H Veltink; Michelle C P M Vos; Rob M A de Bie; Lo J Bour; Ciska T Heida
Journal:  Ann Biomed Eng       Date:  2017-07-19       Impact factor: 3.934

  10 in total

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