128 channel hydrocel geodesic sensor net (Welcony)

Welcony is a verified supplier

Welcony manufactures this product

About

News

Press Release

Team

Advisors

Partners

Contact

Bioz Stars

Bioz vStars

Buy from Supplier

Structured Review

Welcony 128 channel hydrocel geodesic sensor net
Hydrocel geodesic sensor Net-128 channel map. Red: anterior region; Black: central region; Orange: posterior region; Blue: left region; Green: right region.

Hydrocel geodesic sensor Net-128 channel map. Red: anterior region; Black: central region; Orange: posterior region; Blue: left region; Green: right region.

128 Channel Hydrocel Geodesic Sensor Net, supplied by Welcony, used in various techniques. Bioz Stars score: 97/100, based on 2657 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hydrocel+geodesic+sensor+net+hcgsn/Geodesic+Sensor+Net/pmc13642567-68-15-32
Average 97 stars, based on 2657 article reviews

128 channel hydrocel geodesic sensor net - by Bioz Stars, 2026-10

97/100 stars

Images

1) Product Images from "Phase-dependent oscillatory dynamics during needle retention and withdrawal: a comparison of penetrating and non-penetrating acupuncture"

Article Title: Phase-dependent oscillatory dynamics during needle retention and withdrawal: a comparison of penetrating and non-penetrating acupuncture

Journal: Frontiers in Pain Research

doi: 10.3389/fpain.2026.1842608

Figure Legend Snippet: Hydrocel geodesic sensor Net-128 channel map. Red: anterior region; Black: central region; Orange: posterior region; Blue: left region; Green: right region.

Techniques Used:

other:

Article Title: A multi-modal open dataset for mental-disorder analysis
Article Snippet: For the two experimental tasks, EEG signals were obtained using the HydroCel Geodesic Sensor Net (HCGSN) (Electrical Geodesics Inc., Oregon Eugene, USA).

Article Title: Diagnosis support of major depressive disorder using event-related potentials during affective priming tasks.
Article Snippet: Major Depressive Disorder (MDD) is a global problem.. Currently, the most common diagnosis is based on criteria susceptible to the subjectivity of the patient and the clinician.. A possible solution to this problem is to look for diagnostic biomarkers that can accurately and early detect this mental condition.

Produced:

Article Title: Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted from EEG Data
Article Snippet: .. The EEG technology used for this study was a HydroCel Geodesic Sensor Net (HCGSN), 128 electrodes dense-array electroencephalography (EEG) produced by Electrical Geodesics, Inc., USA [ ]. ..

Article Title: Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson's First Skewness Coefficient Extracted from EEG Data.
Article Snippet: .. The EEG technology used for this study was a HydroCel Geodesic Sensor Net (HCGSN), 128 electrodes dense-array electroencephalography (EEG) produced by Electrical Geodesics, Inc., USA [38]. ..

Article Title: A study of different cognitive states for meditators and non-meditators with the use of multiple classification indices derived from the PSD of EEG data and lessons learned about cognitive states and the nature of intelligence in minds and machines.
Article Snippet: .. The EEG technology used for this study was a HydroCel Geodesic Sensor Net (HCGSN), 128 electrodes dense-array electroencephalography (EEG) produced by Electrical Geodesics, Inc. (Electrical Geodesics Inc, 2007). .. We also used E-Prime 2.0 to program the experimental setting and the presentation of stimuli, as well as relevant events like “start” and “press key.” We expand on earlier studies (Davis and Kozma, 2018; Davis et al., 2023b; Davis et al., 2020), to include 20 participants that were measured in six modalities, as follows: • Meditation (MED): Participants were asked to engage in the meditation of their choice for 7 min with their eyes closed.

Article Title: A study of different cognitive states for meditators and non-meditators with the use of multiple classification indices derived from the PSD of EEG data and lessons learned about cognitive states and the nature of intelligence in minds and machines
Article Snippet: .. The EEG technology used for this study was a HydroCel Geodesic Sensor Net (HCGSN), 128 electrodes dense-array electroencephalography (EEG) produced by Electrical Geodesics, Inc. ( ). .. We also used E-Prime 2.0 to program the experimental setting and the presentation of stimuli, as well as relevant events like “start” and “press key.” We expand on earlier studies ( ; ; ), to include 20 participants that were measured in six modalities, as follows: For the experiment, the participant was inside a Faraday chamber, positioned in a comfortable chair facing a computer screen with a standard computer keyboard in front of them.

Software:

Article Title: Attention-based multi-scale convolution and conformer for EEG-based depression detection
Article Snippet: .. Data collection was carried out using the Net Station software and the HydroCel Geodesic Sensor Net (HCGSN) (Electrical Geodesics Inc., Oregon Eugene, USA), version 4.5.4. ..

Review