ArticleAdvanced healthcare materials2023
Adhesive Wearable Sensors for Electroencephalography from Hairy Scalp.
Article in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
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.
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Who cites it
9 citing papers in PubMed, 29 citations in OpenAlex.
- Wearable Morphology-Adaptive in-Ear Device With Active Cleansing Capability for Multimodal Health Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Micro-Texturized and Ultra-Soft Dry Electrode for Motion-Artifact Tolerant and Long-Term Stable Wearable Electrophysiological Monitoring.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Hydrogels in Neurological Disorders: Emerging Diagnostic and Therapeutic Applications.International journal of nanomedicine · 2026Review
- A Review of Developments in Carbon-Based Nanocomposite Electrodes for Noninvasive Electroencephalography.Sensors (Basel, Switzerland) · 2025Review
- In-Ear Electronics with Mechanical Adaptability for Physiological Sensing.Advanced healthcare materials · 2025Article
- Ultrasoft Long-Lasting Reusable Hydrogel-Based Sensor Patch for Biosignal Recording.Biosensors · 2024Article
- Solvent-Free and Cost-Efficient Fabrication of a High-Performance Nanocomposite Sensor for Recording of Electrophysiological Signals.Biosensors · 2024Article
- Recent Advances in Wearable Healthcare Devices: From Material to Application.Bioengineering (Basel, Switzerland) · 2024Review
- Adhesive Wearable Sensors for Electroencephalography from Hairy Scalp.Advanced healthcare materials · 2023Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography has garnered interest for applications in mobile healthcare, human-machine interfaces, and Internet of Things. Conventional electroencephalography relies on wet and dry electrodes. Despite favorable interface impedance of wet electrodes and skin, the application of a large amount of gel at their interface with skin limits the electroencephalography spatial resolution, increases the risk of shorting between electrodes, and makes them unsuited for long-term mobile recording. In contrast, dry electrodes are better suited for long-term recordings but susceptible to motion artifacts. In addition, both wet and dry electrodes are non-adhesive to the hairy scalp and mechanical support, or chemical adhesives are used to hold them in place. Herein, a conical microstructure array (CMSA) based sensor made of carbon nanotube-polydimethylsiloxane composite is reported. The CMSA sensor is fabricated using the innovative, cost-effective, and scalable method of viscosity-controlled dip-pull process. The sensor adheres to the hairy scalp by generating negative pressure in its conical microstructures when it is pressed against scalp. Aided by the application of a trace amount of gel, CMSA sensor establishes good electrical contact with the skin, enabling its applications in mobile electroencephalography over extended periods. Notably, the signal quality of CMSA sensors is comparable to that of medical-grade wet gel electrodes.
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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.