Canceling Interference Caused by Tremors in Joystick Controller: Study Case in a Power Wheelchair

Silva, Ludmila Correa de Alkmin; Corrêa, Fernanda Cristina; Neto, Geraldo Gonçalves Delgado; Delgado, Vivianne V.; Dedini, Franco Giuseppe

doi:10.1007/978-3-642-14100-3_11

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…However, the side-effect and the high cost limit their application. Therefore, the biomechanical loading 4,5 and several novel human-machine interface devices, for example, joysticks 6 and hand-held surgical device, 7 were also developed to cancel the involuntary motions. Meanwhile, the mechanical simulation systems were developed to provide mimicked tremor signals and to evaluate the performance of tremor suppression methods.…”

Section: Introductionmentioning

confidence: 99%

Estimation of pathological tremor from recorded signals based on adaptive sliding fast Fourier transform

Wang

Gao

Zhu

et al. 2016

Advances in Mechanical Engineering

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Pathological tremor is an approximately rhythmic movement and considerably affects patients’ daily living activities. Biomechanical loading and functional electrical stimulation are proposed as potential alternatives for canceling the pathological tremor. However, the performance of suppression methods is associated with the separation of tremor from the recorded signals. In this literature, an algorithm incorporating a fast Fourier transform augmented with a sliding convolution window, an interpolation procedure, and a damping module of the frequency is presented to isolate tremulous components from the measured signals and estimate the instantaneous tremor frequency. Meanwhile, a mechanism platform is designed to provide the simulation tremor signals with different degrees of voluntary movements. The performance of the proposed algorithm and existing procedures is compared with simulated signals and experimental signals collected from patients. The results demonstrate that the proposed solution could detect the unknown dominant frequency and distinguish the tremor components with higher accuracy. Therefore, this algorithm is useful for actively compensating tremor by functional electrical stimulation without affecting the voluntary movement.

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Section: Introductionmentioning

confidence: 99%

Estimation of pathological tremor from recorded signals based on adaptive sliding fast Fourier transform

Wang

Gao

Zhu

et al. 2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

Estimation of tremor parameters and extraction tremor from recorded signals for tremor suppression

Wang

Gao

Xiao

et al. 2016

2016 IEEE International Conference on Robotics and Automation (ICRA)

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Pathological tremor is defined as a roughly sinusoidal movement and usually occurs in the upper limb impacting individuals activities of daily livings. Functional electrical stimulation (FES) is proposed as a potential alternative for cancelling the pathological tremor. However, the feasibility and accuracy of FES depends on the estimation of amplitude and frequency of tremor signals measured by sensors. In this study, a novel algorithm incorporating a sliding fast Fourier transform (SFFT), an interpolation procedure and a limitation module of frequency range is developed to estimate tremor frequency and separate the tremor components from raw data. Based on the artificial signals and the actual tremor signals, the performance of the proposed algorithm is evaluated. The experimental results indicate that the developed algorithm could quickly adapt to the unknown dominant frequency and extract the tremor components with high accuracy. Therefore, this method could be employed in the tremor suppression by FES without affecting the voluntary movement.

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Canceling Interference Caused by Tremors in Joystick Controller: Study Case in a Power Wheelchair

Cited by 2 publications

References 4 publications

Estimation of pathological tremor from recorded signals based on adaptive sliding fast Fourier transform

Estimation of pathological tremor from recorded signals based on adaptive sliding fast Fourier transform

Estimation of tremor parameters and extraction tremor from recorded signals for tremor suppression

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