Literature DB >> 32149016

The Validation of Tremor-Cancelling Technologies Needs a Multidisciplinary Consensus Statement.

Roberto López-Blanco1,2, Julián Benito-León2,3,4,5, Jesús Hernández-Gallego2,3, Álvaro Sánchez-Ferro6.   

Abstract

Entities:  

Keywords:  Tremor control technology; tremor suppression technology; tremor-cancelling technology

Mesh:

Year:  2020        PMID: 32149016      PMCID: PMC7052430          DOI: 10.7916/tohm.v0.765

Source DB:  PubMed          Journal:  Tremor Other Hyperkinet Mov (N Y)        ISSN: 2160-8288


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Dear Editor We read with interest the review by Castrillo-Fraile et al.[1] on tremor-control devices for essential tremor (ET). This is the first clinical review in which these systems have been analyzed thoroughly and helps to fill in the knowledge gap regarding the role of these technologies in assisting ET patients. However, there are three aspects that need further development. First, tremor-cancelling devices are based on different approaches: wearable exoskeletons, orthoses, and handheld external devices, such as spoons. Nevertheless, computer softwares or hardwares to control kinetic tremor caused due to the mouse of a PC in ET patients were not included in this review.[2,3] It would be interesting to consider them in upcoming studies due to their potential applications in daily-life and industries. Second, as the authors emphasize in their systematic review, the evidence documented so far is scant, partly due to the different methodologies and the scarce number of subjects included in these studies. We would also like to underline the lack of independent testing outside the initial ones and also the scant publications of negative studies, which are crucial to understand important methodological and technological issues that could surely result in the improved development of otherwise encouraging solutions.[4,5] Finally, in this review, some methodological aspects are discussed, such as the body location, the clinical outcomes used and some technological features of certain tremor-cancelation prototypes. However, in our opinion, the authors missed a key methodological issue, which is the inherent variability of tremor intensity during testing.[6] This is something that we have consistently observed in various research studies related to tremor-cancelling systems even after modifying the test length and the temporal windows used in the analyses.[7-11] Importantly, nonstimulation periods may even show greater tremor-intensity fluctuations when testing a novel device[4] as compared to those used for stimulation. This issue can confound the interpretation of testing protocols that do not include long enough nonstimulation periods, although their ideal duration also remains to be defined. Besides, considering these issues in future studies, a more permanent solution might include the creation of a multidisciplinary group that establishes consensus statements on recommendable methodologies for validating tremor-cancelling technologies, similarly to what is happening in other movement disorders.[12-14]
  12 in total

1.  Neurology® null hypothesis: A special supplement for negative, inconclusive, or confirmatory studies.

Authors:  Sandra Petty; Robert A Gross
Journal:  Neurology       Date:  2018-06-08       Impact factor: 9.910

Review 2.  A clinical view on the development of technology-based tools in managing Parkinson's disease.

Authors:  Walter Maetzler; Jochen Klucken; Malcolm Horne
Journal:  Mov Disord       Date:  2016-06-07       Impact factor: 10.338

Review 3.  A roadmap for implementation of patient-centered digital outcome measures in Parkinson's disease obtained using mobile health technologies.

Authors:  Alberto J Espay; Jeffrey M Hausdorff; Álvaro Sánchez-Ferro; Jochen Klucken; Aristide Merola; Paolo Bonato; Serene S Paul; Fay B Horak; Joaquin A Vizcarra; Tiago A Mestre; Ralf Reilmann; Alice Nieuwboer; E Ray Dorsey; Lynn Rochester; Bastiaan R Bloem; Walter Maetzler
Journal:  Mov Disord       Date:  2019-03-22       Impact factor: 10.338

4.  Design and validation of a rehabilitation robotic exoskeleton for tremor assessment and suppression.

Authors:  E Rocon; J M Belda-Lois; A F Ruiz; M Manto; J C Moreno; J L Pons
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-09       Impact factor: 3.802

5.  Online tremor suppression using electromyography and low-level electrical stimulation.

Authors:  Strahinja Dosen; Silvia Muceli; Jakob Lund Dideriksen; Juan Pablo Romero; Eduardo Rocon; Jose Pons; Dario Farina
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-07-15       Impact factor: 3.802

6.  Sensory electrical stimulation for suppression of postural tremor in patients with essential tremor.

Authors:  Jae-Hoon Heo; Ji-Won Kim; Yuri Kwon; Sang-Ki Lee; Gwang-Moon Eom; Do-Young Kwon; Chan-Nyeong Lee; Kun-Woo Park; Mario Manto
Journal:  Biomed Mater Eng       Date:  2015       Impact factor: 1.300

Review 7.  Integration of technology-based outcome measures in clinical trials of Parkinson and other neurodegenerative diseases.

Authors:  Carlo Alberto Artusi; Murli Mishra; Patricia Latimer; Joaquin A Vizcarra; Leonardo Lopiano; Walter Maetzler; Aristide Merola; Alberto J Espay
Journal:  Parkinsonism Relat Disord       Date:  2017-07-26       Impact factor: 4.891

8.  A neuroprosthesis for tremor management through the control of muscle co-contraction.

Authors:  Juan Álvaro Gallego; Eduardo Rocon; Juan Manuel Belda-Lois; José Luis Pons
Journal:  J Neuroeng Rehabil       Date:  2013-04-15       Impact factor: 4.262

9.  Tremor Control Devices for Essential Tremor: A Systematic Literature Review.

Authors:  Victoria Castrillo-Fraile; Elena Casas Peña; José María Trejo Gabriel Y Galán; Pedro David Delgado-López; Carla Collazo; Esther Cubo
Journal:  Tremor Other Hyperkinet Mov (N Y)       Date:  2019-12-05

10.  Mechanical vibration does not systematically reduce the tremor in essential tremor patients.

Authors:  Julio Salvador Lora-Millán; Roberto López-Blanco; Juan Álvaro Gallego; Antonio Méndez-Guerrero; Jesús González de la Aleja; Eduardo Rocon
Journal:  Sci Rep       Date:  2019-11-11       Impact factor: 4.379

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