Literature DB >> 26018757

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

Thushara Perera1, Shivanthan A C Yohanandan2,3, Hugh J McDermott2,4.   

Abstract

Since the advent of electromyogram recording, precise measures of tremor and gait have been used to study movement disorders such as Parkinson's disease. Now, a wide range of accelerometers and other motion-tracking technologies exist to better inform researchers and clinicians, yet such systems are rarely tested for accuracy or suitability before use. Our inexpensive test-rig can produce sinusoidal displacements using a simple cantilever system driven by a subwoofer. Controlled sinusoids were generated using computer software, and the displacement amplitudes of the test-rig were verified with fiducial marker tracking. To illustrate the use of the test-rig, we evaluated an accelerometer and an electromagnetic motion tracker. Accelerometry recordings were accurate to within ±0.09 g of actual peak-to-peak amplitude with a frequency response close to unity gain between 1 and 20 Hz. The electromagnetic sensor underestimated peak displacement by 2.68 mm, which was largely due to a diminishing gain with increasing frequency. Both sensors had low distortion. Overall sensitivity was limited by noise for the accelerometer and quantisation resolution for the electromagnetic sensor. Our simple and low-cost test-rig can be used to bench-test sensors used in movement disorders research. It was able to produce reliable sinusoidal displacements and worked across the 1- to 20-Hz frequency range.

Entities:  

Keywords:  Accelerometer; Electromagnetic; Motion tracking; Movement disorders; Tremor

Mesh:

Year:  2015        PMID: 26018757     DOI: 10.1007/s11517-015-1314-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  8 in total

1.  Validation for tremor quantification of an electromagnetic tracking device.

Authors:  P E O'Suilleabhain; R B Dewey
Journal:  Mov Disord       Date:  2001-03       Impact factor: 10.338

2.  Smart watch accelerometry for analysis and diagnosis of tremor.

Authors:  Daryl J Wile; Ranjit Ranawaya; Zelma H T Kiss
Journal:  J Neurosci Methods       Date:  2014-04-23       Impact factor: 2.390

3.  Gravitational artifact in accelerometric measurements of tremor.

Authors:  Rodger J Elble
Journal:  Clin Neurophysiol       Date:  2005-07       Impact factor: 3.708

4.  Classification of normal and pathological tremors using a multidimensional electromagnetic system.

Authors:  J M Spyers-Ashby; M J Stokes; P G Bain; S J Roberts
Journal:  Med Eng Phys       Date:  1999-12       Impact factor: 2.242

5.  Clinically deployable Kinesia technology for automated tremor assessment.

Authors:  Joseph P Giuffrida; David E Riley; Brian N Maddux; Dustin A Heldman
Journal:  Mov Disord       Date:  2009-04-15       Impact factor: 10.338

6.  Automated motion sensor quantification of gait and lower extremity bradykinesia.

Authors:  Dustin A Heldman; Danielle E Filipkowski; David E Riley; Christina M Whitney; Benjamin L Walter; Steven A Gunzler; Joseph P Giuffrida; Thomas O Mera
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

7.  Automated assessment of bradykinesia and dyskinesia in Parkinson's disease.

Authors:  Robert I Griffiths; Katya Kotschet; Sian Arfon; Zheng Ming Xu; William Johnson; John Drago; Andrew Evans; Peter Kempster; Sanjay Raghav; Malcolm K Horne
Journal:  J Parkinsons Dis       Date:  2012       Impact factor: 5.568

Review 8.  Quantitative wearable sensors for objective assessment of Parkinson's disease.

Authors:  Walter Maetzler; Josefa Domingos; Karin Srulijes; Joaquim J Ferreira; Bastiaan R Bloem
Journal:  Mov Disord       Date:  2013-09-12       Impact factor: 10.338

  8 in total
  3 in total

1.  Intraoperative acceleration measurements to quantify improvement in tremor during deep brain stimulation surgery.

Authors:  Ashesh Shah; Jérôme Coste; Jean-Jacques Lemaire; Ethan Taub; W M Michael Schüpbach; Claudio Pollo; Erik Schkommodau; Raphael Guzman; Simone Hemm-Ode
Journal:  Med Biol Eng Comput       Date:  2016-09-08       Impact factor: 2.602

2.  Electrode and electrolyte configurations for low frequency motion energy harvesting based on reverse electrowetting.

Authors:  Pashupati R Adhikari; Nishat T Tasneem; Russell C Reid; Ifana Mahbub
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

3.  Advancing Reverse Electrowetting-on-Dielectric from Planar to Rough Surface Electrodes for High Power Density Energy Harvesting.

Authors:  Pashupati R Adhikari; Adnan B Patwary; Karthik Kakaraparty; Avinash Gunti; Russell C Reid; Ifana Mahbub
Journal:  Energy Technol (Weinh)       Date:  2022-01-07       Impact factor: 4.149

  3 in total

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