Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review
By Y. Chi, Tzyy-Ping Jung, Gert Cauwenberghs. IEEE Reviews in Biomedical Engineering, 2010
1,009 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/9be1df07e4ffcec086af9fa6ff6177708bba6bb1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- John A. Rogers
- Yonggang Huang
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Tzyy-Ping Jung
- Sergio Silvestri
- Dongrui Wu
- Emiliano Schena
In Cellular and Molecular Neuroscience
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- John A. Rogers
- Tzyy-Ping Jung
- Dongrui Wu
- Jae‐Woong Jeong
- Sung-Phil Kim
- Niels Birbaumer
In Cognitive Neuroscience
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Chin-Teng Lin
- Peng Xu
- Alireza Jolfaei
- Xiaotong Gu
- Zehong Cao
- Tzyy-Ping Jung
Citations in the corpus
- Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, methodology): “For example, in the case of EEG recordings, the electrodes are simply placed on the scalp surface (588) through an easy and safe procedure, particularly if dry sensors (136, 266, 287, 329, 785) are used.”
- A Review on the Computational Methods for Emotional State Estimation from the Human EEG (2013, background): “A new EEG sensor should meet some criteria such as stabilization of a signal to noise ratio (SNR), reduction of noise elicited from hair, optimization of active dry electrodes, development of multi-channel wireless communication, and sustainment of the quality of EEG signals over a long period [100–”
- ECG-based heartbeat classification for arrhythmia detection: A survey (2016, background): “Examples of such equipments are the ones based on capacitive devices which measure the electric field changes induced by the body allowing ECG measurement at distance of 1cm or more even with clothing between the body and the sensor [13, 14, 15].”
- Dry EEG Electrodes (2014, background): “In [24], the same author reviewed a simple implementation of a dry active electrode made of conventional PCB.”
- EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications (2020, background): “[40], [41] reviewed and designed wireless devices with dry and non-contact EEG electrode sensors.”
- Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface (2015, methodology): “Recent technologies replace the gel (7, 8) with needles (8, 9), contact probes (10, 11), capacitive disks (12, 13), conductive composites (14, 15), or nanowires (16).”
- Contact-Based Methods for Measuring Respiratory Rate (2019, background): “However, suitable signals can also be acquired using conductive textiles or polymers integrated into smart clothes [240,241].”