ArticleScientific reports2022
Multichannel haptic feedback unlocks prosthetic hand dexterity.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
15 citing papers in PubMed, 39 citations in OpenAlex.
- First-in-human implementation of a bidirectional somatosensory neuroprosthetic system with wireless communication.Journal of neuroengineering and rehabilitation · 2025Trial
- Soft, Flexible, and Stretchable Platforms for Tissue-Interfaced Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Reducing Pain and Improving Mobility Using Haptic Patch Technology: Results of the RESTORE Study.Pain and therapy · 2025Article
- Examining the physical and psychological effects of combining multimodal feedback with continuous control in prosthetic hands.Scientific reports · 2025Article
- Application of EMG feedback for hand prosthesis control in high-level amputation: a case study.Scientific reports · 2024Article
- The Latest Research Progress on Bionic Artificial Hands: A Systematic Review.Micromachines · 2024Review
- Mechatronic automatic control system of electropneumatic manipulator.Scientific reports · 2024Article
- Biohybrid Robotic Hand to Investigate Tactile Encoding and Sensorimotor Integration.Biomimetics (Basel, Switzerland) · 2024Article
- Simulation and experimental study on rope driven artificial hand and driven motor.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Force prediction in the cylindrical grip for a model of hand prosthesis.Scientific reports · 2023Article
- Sensing in Soft Robotics.ACS nano · 2023Review
- An Improved Approach for Grasp Force Sensing and Control of Upper Limb Soft Robotic Prosthetics.Micromachines · 2023Article
- Haptic shared control improves neural efficiency during myoelectric prosthesis use.Scientific reports · 2023Article
- Robotically Embodied Biological Neural Networks to Investigate Haptic Restoration with Neuroprosthetic Hands.IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium · 2022Article
- EMG feedback outperforms force feedback in the presence of prosthesis control disturbance.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Loss of tactile sensations is a major roadblock preventing upper limb-absent people from multitasking or using the full dexterity of their prosthetic hands. With current myoelectric prosthetic hands, limb-absent people can only control one grasp function at a time even though modern artificial hands are mechanically capable of individual control of all five digits. In this paper, we investigated whether people could precisely control the grip forces applied to two different objects grasped simultaneously with a dexterous artificial hand. Toward that end, we developed a novel multichannel wearable soft robotic armband to convey artificial sensations of touch to the robotic hand users. Multiple channels of haptic feedback enabled subjects to successfully grasp and transport two objects simultaneously with the dexterous artificial hand without breaking or dropping them, even when their vision of both objects was obstructed. Simultaneous transport of the objects provided a significant time savings to perform the deliveries in comparison to a one-at-a-time approach. This paper demonstrated that subjects were able to integrate multiple channels of haptic feedback into their motor control strategies to perform a complex simultaneous object grasp control task with an artificial limb, which could serve as a paradigm shift in the way prosthetic hands are operated.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.