Skip to main content

Advertisement

Fig. 6 | BioMedical Engineering OnLine

Fig. 6

From: Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses

Fig. 6

Discharging motoneurons properties during isokinetic task. a Normalized average of all the single-unit firing rates, finger flexor sEMG and motion velocity. Data are shown in mean ± SEM. b Barplot of normalized FRs against velocity. FRs are normalized to their maximum. Data are represented as mean ± SD. c Relation between the slope of the normalized mean firing rate and the required velocity of motion. A linear fitting (R2 = 0.66) is proposed (red line). Data in c are bootstrapped. In ac signal portion is extracted from Subject 1. d, e Equivalent graphs to (b, c) but with results from all the subjects and movements they executed. Colored circles represent subjects. Linear fitting performance of data in (d) is R2 = 0.93. Data in d, e are the average of 39, 21, 20, 11, 34, 28 trials (selected as in “Methods”) × 13, 14, 11, 13, 16, 14 sorted neurons respectively for Subj. 1, Subj. 2, …, Subj. 6. p-values are determined by one-tailed (in b, d) and two-tailed (c, e) ANOVA tests. ** means p < 0.01, while lines on the graph p > 0.1. Statistical analyses are performed on non-bootstrapped data

Back to article page