ArticleIEEE sensors journal2019
Developing Next-generation Brain Sensing Technologies - A Review.
Article in IEEE sensors journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 41 citations in OpenAlex.
- A multi-wavelength multi-task learning framework for risk-aware fire source classification and smoke density prediction.Scientific reports · 2026Article
- Highly mechanically stable PEDOT:PSS/PDA-modified microelectrode arrays reveal state-specific dynamic neural activity across sleep-wake.Microsystems & nanoengineering · 2026Article
- An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm.Scientific reports · 2025Article
- Polypyrrole Coatings as Possible Solutions for Sensing and Stimulation in Bioelectronic Medicines.Biosensors · 2025Article
- Review
- Research on forest fire information propagation model based on IoV.Scientific reports · 2025Article
- Area Selective Atomic Layer Deposition for the Use on Active Implants: An Overview of Available Process Technology.Advanced healthcare materials · 2025Review
- A Case Study on EEG Signal Correlation Towards Potential Epileptic Foci Triangulation.Sensors (Basel, Switzerland) · 2024Article
- Current state of the art and future directions for implantable sensors in medical technology: Clinical needs and engineering challenges.APL bioengineering · 2023Review
- Article
- Development and Characterization of Novel Conductive Sensing Fibers for In Vivo Nerve Stimulation.Sensors (Basel, Switzerland) · 2021Article
- Opportunities and dilemmas ofRSC advances · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
Abstract
Advances in sensing technology raise the possibility of creating neural interfaces that can more effectively restore or repair neural function and reveal fundamental properties of neural information processing. To realize the potential of these bioelectronic devices, it is necessary to understand the capabilities of emerging technologies and identify the best strategies to translate these technologies into products and therapies that will improve the lives of patients with neurological and other disorders. Here we discuss emerging technologies for sensing brain activity, anticipated challenges for translation, and perspectives for how to best transition these technologies from academic research labs to useful products for neuroscience researchers and human patients.
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.