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Neurophysiological validation of simultaneous intrinsic and reflexive joint impedance estimates.
van 't Veld, Ronald C; Schouten, Alfred C; van der Kooij, Herman; van Asseldonk, Edwin H F.
Afiliação
  • van 't Veld RC; Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands. r.c.vantveld@utwente.nl.
  • Schouten AC; Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
  • van der Kooij H; Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands.
  • van Asseldonk EHF; Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
J Neuroeng Rehabil ; 18(1): 36, 2021 02 17.
Article em En | MEDLINE | ID: mdl-33596944
ABSTRACT

BACKGROUND:

People with brain or neural injuries, such as cerebral palsy or spinal cord injury, commonly have joint hyper-resistance. Diagnosis and treatment of joint hyper-resistance is challenging due to a mix of tonic and phasic contributions. The parallel-cascade (PC) system identification technique offers a potential solution to disentangle the intrinsic (tonic) and reflexive (phasic) contributions to joint impedance, i.e. resistance. However, a simultaneous neurophysiological validation of both intrinsic and reflexive joint impedances is lacking. This simultaneous validation is important given the mix of tonic and phasic contributions to joint hyper-resistance. Therefore, the main goal of this paper is to perform a group-level neurophysiological validation of the PC system identification technique using electromyography (EMG) measurements.

METHODS:

Ten healthy people participated in the study. Perturbations were applied to the ankle joint to elicit reflexes and allow for system identification. Participants completed 20 hold periods of 60 seconds, assumed to have constant joint impedance, with varying magnitudes of intrinsic and reflexive joint impedances across periods. Each hold period provided a paired data point between the PC-based estimates and neurophysiological measures, i.e. between intrinsic stiffness and background EMG, and between reflexive gain and reflex EMG.

RESULTS:

The intrinsic paired data points, with all subjects combined, were strongly correlated, with a range of [Formula see text] in both ankle plantarflexors and dorsiflexors. The reflexive paired data points were moderately correlated, with [Formula see text] in the ankle plantarflexors only.

CONCLUSION:

An agreement with the neurophysiological basis on which PC algorithms are built is necessary to support its clinical application in people with joint hyper-resistance. Our results show this agreement for the PC system identification technique on group-level. Consequently, these results show the validity of the use of the technique for the integrated assessment and training of people with joint hyper-resistance in clinical practice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Sinais Assistido por Computador / Contratura / Eletromiografia / Doenças Neuromusculares Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: J Neuroeng Rehabil Assunto da revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Sinais Assistido por Computador / Contratura / Eletromiografia / Doenças Neuromusculares Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: J Neuroeng Rehabil Assunto da revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda