Trial reportJournal of neuroengineering and rehabilitation2011
Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces.
Trial report in Journal of neuroengineering and rehabilitation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Restoration of motor control and proprioceptive and cutaneous sensation in humans with prior upper-limb amputation via multiple Utah Slanted Electrode Arrays (USEAs) implanted in residual peripheral arm nerves.Journal of neuroengineering and rehabilitation · 2017Trial
- Effect of Anesthesia and Diurnal Variation on Chronic Vagus Nerve Activity in Rats.Journal of neuroscience research · 2025Article
- Engineered Graphene Material Improves the Performance of Intraneural Peripheral Nerve Electrodes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement.Nature communications · 2024Review
- Selective chronic recording in small nerve fascicles of sciatic nerve with carbon nanotube yarns in rats.Journal of neural engineering · 2024Article
- Toward higher-performance bionic limbs for wider clinical use.Nature biomedical engineering · 2023Review
- Ankle Torque Estimation With Motor Unit Discharges in Residual Muscles Following Lower-Limb Amputation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics.Advanced materials (Deerfield Beach, Fla.) · 2022Review
- Directional Growth of cm-Long PLGA Nanofibers by a Simple and Fast Wet-Processing Method.Materials (Basel, Switzerland) · 2022Article
- Closed-Loop Vagus Nerve Stimulation for the Treatment of Cardiovascular Diseases: State of the Art and Future Directions.Frontiers in cardiovascular medicine · 2022Review
- In-silico development and assessment of a Kalman filter motor decoder for prosthetic hand control.Computers in biology and medicine · 2021Article
- The Need to Work Arm in Arm: Calling for Collaboration in Delivering Neuroprosthetic Limb Replacements.Frontiers in neurorobotics · 2021Review
- Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals.Frontiers in neuroscience · 2021Article
- The future of upper extremity rehabilitation robotics: research and practice.Muscle & nerve · 2020Review
- Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review.Journal of neuroengineering and rehabilitation · 2020Review
- Sensory- and Action-Oriented Embodiment of Neurally-Interfaced Robotic Hand Prostheses.Frontiers in neuroscience · 2020Article
- Biomimetic Approaches for Separated Regeneration of Sensory and Motor Fibers in Amputee People: Necessary Conditions for Functional Integration of Sensory-Motor Prostheses With the Peripheral Nerves.Frontiers in bioengineering and biotechnology · 2020Article
- Recording and Decoding of Vagal Neural Signals Related to Changes in Physiological Parameters and Biomarkers of Disease.Cold Spring Harbor perspectives in medicine · 2019Review
- Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses.Biomedical engineering online · 2019Article
- Human motor decoding from neural signals: a review.BMC biomedical engineering · 2019Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe restoration of complex hand functions by creating a novel bidirectional link between the nervous system and a dexterous hand prosthesis is currently pursued by several research groups. This connection must be fast, intuitive, with a high success rate and quite natural to allow an effective bidirectional flow of information between the user's nervous system and the smart artificial device. This goal can be achieved with several approaches and among them, the use of implantable interfaces connected with the peripheral nervous system, namely intrafascicular electrodes, is considered particularly interesting.
methodsThin-film longitudinal intra-fascicular electrodes were implanted in the median and ulnar nerves of an amputee's stump during a four-week trial. The possibility of decoding motor commands suitable to control a dexterous hand prosthesis was investigated for the first time in this research field by implementing a spike sorting and classification algorithm.
resultsThe results showed that motor information (e.g., grip types and single finger movements) could be extracted with classification accuracy around 85% (for three classes plus rest) and that the user could improve his ability to govern motor commands over time as shown by the improved discrimination ability of our classification algorithm.
conclusionsThese results open up new and promising possibilities for the development of a neuro-controlled hand prosthesis.
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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.