Trial reportJournal of neural engineering2011
Mimicking muscle activity with electrical stimulation.
Trial report in Journal of neural engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
10 citing papers in PubMed, 26 citations in OpenAlex.
- A hydrogel ionic circuit electrical stimulation system to restore denervated muscle following long-gap peripheral nerve injury.Bioactive materials · 2027Article
- The Acute Physiological Effects of Multiple Muscle Stimulation.Muscles (Basel, Switzerland) · 2026Article
- Muscle Metabolism During Multiple Muscle Stimulation Using an Affordable Equipment.Journal of functional morphology and kinesiology · 2024Article
- An electrical stimulation intervention protocol to prevent disuse atrophy and muscle strength decline: an experimental study in rat.Journal of neuroengineering and rehabilitation · 2023Article
- Asynchronous axonal firing patterns evoked via continuous subthreshold kilohertz stimulation.Journal of neural engineering · 2023Article
- Restoration of complex movement in the paralyzed upper limb.Journal of neural engineering · 2022Article
- Functional Electrical Stimulation Controlled by Motor Imagery Brain-Computer Interface for Rehabilitation.Brain sciences · 2020Article
- A functional electrical stimulation system for human walking inspired by reflexive control principles.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2017Article
- Real-time and wearable functional electrical stimulation system for volitional hand motor function control using the electromyography bridge method.Neural regeneration research · 2017Article
- Prediction of muscle activity during loaded movements of the upper limb.Journal of neuroengineering and rehabilitation · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Functional electrical stimulation is a rehabilitation technology that can restore some degree of motor function in individuals who have sustained a spinal cord injury or stroke. One way to identify the spatio-temporal patterns of muscle stimulation needed to elicit complex upper limb movements is to use electromyographic (EMG) activity recorded from able-bodied subjects as a template for electrical stimulation. However, this requires a transfer function to convert the recorded (or predicted) EMG signals into an appropriate pattern of electrical stimulation. Here we develop a generalized transfer function that maps EMG activity into a stimulation pattern that modulates muscle output by varying both the pulse frequency and the pulse amplitude. We show that the stimulation patterns produced by this transfer function mimic the active state measured by EMG insofar as they reproduce with good fidelity the complex patterns of joint torque and joint displacement.
Indexed as
Identifiers
What OpenQuestion holds
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.