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. 2022 Apr 25:3:806479.
doi: 10.3389/fresc.2022.806479. eCollection 2022.

A Haptic Sleeve as a Method of Mechanotactile Feedback Restoration for Myoelectric Hand Prosthesis Users

Affiliations

A Haptic Sleeve as a Method of Mechanotactile Feedback Restoration for Myoelectric Hand Prosthesis Users

Violet R Borkowska et al. Front Rehabil Sci. .

Abstract

Current myoelectric upper limb prostheses do not restore sensory feedback, impairing fine motor control. Mechanotactile feedback restoration with a haptic sleeve may rectify this problem. This randomised crossover within-participant controlled study aimed to assess a prototype haptic sleeve's effect on routine grasping tasks performed by eight able-bodied participants. Each participant completed 15 repetitions of the three tasks: Task 1-normal grasp, Task 2-strong grasp and Task 3-weak grasp, using visual, haptic, or combined feedback All data were collected in April 2021 in the Scottish Microelectronics Centre, Edinburgh, UK. Combined feedback correlated with significantly higher grasp success rates compared to the vision alone in Task 1 (p < 0.0001), Task 2 (p = 0.0057), and Task 3 (p = 0.0170). Similarly, haptic feedback was associated with significantly higher grasp success rates compared to vision in Task 1 (p < 0.0001) and Task 2 (p = 0.0015). Combined feedback correlated with significantly lower energy expenditure compared to visual feedback in Task 1 (p < 0.0001) and Task 3 (p = 0.0003). Likewise, haptic feedback was associated with significantly lower energy expenditure compared to the visual feedback in Task 1 (p < 0.0001), Task 2 (p < 0.0001), and Task 3 (p < 0.0001). These results suggest that mechanotactile feedback provided by the haptic sleeve effectively augments grasping and reduces its energy expenditure.

Keywords: hand; haptic; mechanotactile; prosthesis; prosthetic; sensory feedback; sensory restoration; upper limb.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Experimental protocol and tasks. Created with BioRender.com.
Figure 2
Figure 2
Mean grasp success rates (%) across tasks and feedback conditions. Error bars represent standard deviation. N = 8.
Figure 3
Figure 3
Mean EMG signal (mV) traces over 10s across feedback conditions in Task 1 (A), Task 2 (B), and Task 3 (C). The initial large peak corresponds to grasping the experimental object and the latter plateau corresponds to sustained grip. N = 8.
Figure 4
Figure 4
Experimental set-up. Created with BioRender.com.

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