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Erschienen in: Medical & Biological Engineering & Computing 8/2019

14.06.2019 | Original Article

Sinusoidal vibrotactile stimulation differentially improves force steadiness depending on contraction intensity

verfasst von: Carina Marconi Germer, Luciana Sobral Moreira, Leonardo Abdala Elias

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 8/2019

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Abstract

Studies have reported the benefits of sensory noise in motor performance, but it is not clear if this phenomenon is influenced by muscle contraction intensity. Additionally, most of the studies investigated the role of a stochastic noise on the improvement of motor control and there is no evidence that a sinusoidal vibrotactile stimulation could also enhance motor performance. Eleven participants performed a sensorimotor task while sinusoidal vibrations were applied to the finger skin. The effects of an optimal vibration (OV) on force steadiness were evaluated in different contraction intensities. We assessed the standard deviation (SD) and coefficient of variation (CoV) of force signals. OV significantly decreased force SD irrespective of contraction intensity, but the decrease in force CoV was significantly higher for low-intensity contraction. To the best of our knowledge, our findings are the first evidence that sinusoidal vibrotactile stimulation can enhance force steadiness in a motor task. Also, the significant improvement caused by OV during low-intensity contractions is probably due to the higher sensitivity of the motor system to the synaptic noise. These results add to the current knowledge on the effects of vibrotactile stimulation in motor control and have potential implications for the development of wearable haptic devices.

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Metadaten
Titel
Sinusoidal vibrotactile stimulation differentially improves force steadiness depending on contraction intensity
verfasst von
Carina Marconi Germer
Luciana Sobral Moreira
Leonardo Abdala Elias
Publikationsdatum
14.06.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 8/2019
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-019-01999-8

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