ReviewMicromachines2020
A Review and Perspective for the Development of Triboelectric Nanogenerator (TENG)-Based Self-Powered Neuroprosthetics.
Review in Micromachines, 2020. 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.
- Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Barrier-disrupting microneedle technology: Overcoming physical, physiological, and pathological skin defenses to enhance therapeutic efficacy.Bioactive materials · 2026Review
- Enhancing the Output Performance of Fiber-TENG Through Graphite Doping and Its Application in Human Motion Sensing.Sensors (Basel, Switzerland) · 2025Article
- Nanogenerator Neuromodulation to Enable Locomotion Rehabilitation for Spinal Cord Injury via Epidural Electrical Stimulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Recent Advances of Nanogenerator Technology for Cardiovascular Sensing and Monitoring.Nano energy · 2023Article
- Advanced Implantable Biomedical Devices Enabled by Triboelectric Nanogenerators.Nanomaterials (Basel, Switzerland) · 2022Review
- Recent Advances on Conducting Polymers Based Nanogenerators for Energy Harvesting.Micromachines · 2021Review
- Heterogeneous Wafer Bonding Technology and Thin-Film Transfer Technology-Enabling Platform for the Next Generation Applications beyond 5G.Micromachines · 2021Review
- Flourishing energy harvesters for future body sensor network: from single to multiple energy sources.iScience · 2021Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Neuroprosthetics have become a powerful toolkit for clinical interventions of various diseases that affect the central nervous or peripheral nervous systems, such as deep brain stimulation (DBS), functional electrical stimulation (FES), and vagus nerve stimulation (VNS), by electrically stimulating different neuronal structures. To prolong the lifetime of implanted devices, researchers have developed power sources with different approaches. Among them, the triboelectric nanogenerator (TENG) is the only one to achieve direct nerve stimulations, showing great potential in the realization of a self-powered neuroprosthetic system in the future. In this review, the current development and progress of the TENG-based stimulation of various kinds of nervous systems are systematically summarized. Then, based on the requirements of the neuroprosthetic system in a real application and the development of current techniques, a perspective of a more sophisticated neuroprosthetic system is proposed, which includes components of a thin-film TENG device with a biocompatible package, an amplification circuit to enhance the output, and a self-powered high-frequency switch to generate high-frequency current pulses for nerve stimulations. Then, we review and evaluate the recent development and progress of each part.
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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.