Discover the Why of the Brain

Electroencephalography (EEG) is a non-invasive neuroimaging technique that measures the electrical activity of the brain through electrodes placed on the scalp. EEG can be used for various research applications, including studying brain function and activity, identifying neurological disorders, and investigating the effects of drugs or other interventions on brain activity. EEG is particularly useful for studying brain activity in real-time and identifying the timing and location of brain activity associated with specific cognitive processes or behaviors. It can also be used in clinical settings to diagnose and monitor neurological disorders such as epilepsy, sleep disorders, and traumatic brain injuries. Additionally, EEG can be used to investigate the effects of various interventions, such as cognitive training or neurofeedback, on brain activity and function.


What Causes the "Stoke" in Surfing?

For surfers, catching the perfect wave can induce a state of pure ecstasy known as the “stoke”. But what’s happening in the brain during this ultimate ride? Wearable Sensing created a custom dry EEG system that measures brainwaves during surfing. They partnered with Red Bull to use this technology on professional surfers to uncover the neurophysiological aspects of surfing. The dry EEG system is worn on the head like a swimming cap, and it allows for the measurement of brain activity in real-time during surfing. By studying the brainwaves of surfers during their best rides, researchers hope to understand what goes on in the brain during moments of flow and peak performance, and ultimately unlock the secrets to achieving that elusive state of “stoke”.

Predicting hypoxic hypoxia using machine learning and wearable sensors

In this study, wearable sensors and machine learning-based algorithms were used to predict hypoxia in-flight. The group used Wearable Sensing’s dry-EEG technology to collect sensor data from 85 participants during a two-phase study. Participants wore aviation flight masks, which regulated their oxygen intake while performing cognitive tests and simulated flying tasks. EEG data was collected and analyzed using principal component analysis and machine learning algorithms, including Naïve Bayes, decision tree, random forest, and neural network algorithms, to classify the data as normal or hypoxic. The results showed high sensitivity and specificity, indicating potential for developing a real-time, in-flight hypoxia detection system.

An experimental protocol for exploration of stress in an immersive VR scenario with EEG

This paper proposes a protocol for assessing stress using wearable sensing technology, including Electroencephalography (EEG), Electrocardiography (ECG), and the Perceived Stress Scale, in combination with a Virtual Reality phobia induction setting. Wearable Sensing’s dry EEG technology is used to measure brain activity and investigate functional brain connectivity associated with stress. The proposed protocol can be expanded with the incorporation of machine learning algorithms for automatic stress level classification.



All of Wearable Sensing's Dry EEG systems can be utilized for Brain Computer Interfaces

NeuSenW High-Density EEG

All of Wearable Sensing's Wet EEG systems can be utilized for Brain Computer Interfaces



Machine learning algorithms for cognitive state classification, such as mental workload, engagement, and fatigue

3rd Party Compatible Software

List of compatible software, including Neurofeedback, BCI, EEG Analysis, SDK's, and more


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Chiossi, Francesco; Ou, Changkun; Mayer, Sven

Exploring Physiological Correlates of Visual Complexity Adaptation: Insights from EDA, ECG, and EEG Data for Adaptation Evaluation in VR Adaptive Systems Journal Article

In: 2023.

Abstract | Links | BibTeX

Lim, Hyunmi; Jeong, Chang Hyeon; Kang, Youn Joo; Ku, Jeonghun

Attentional State-Dependent Peripheral Electrical Stimulation During Action Observation Enhances Cortical Activations in Stroke Patients Journal Article

In: Cyberpsychology, Behavior, and Social Networking, 2023.

Abstract | Links | BibTeX

Seo, Seoung Won; Kim, Yong Seong

Stroke Patients: Effects of Combining Sitting Table Tennis Exercise with Neurological Physical Therapy on Brain Waves Journal Article

In: The Journal of Korean Physical Therapy, vol. 35, no. 1, pp. 19–23, 2023.

Abstract | Links | BibTeX

Chen, Sheng; Xie, Haiqun; Yang, Hongjun; Fan, Chenchen; Hou, Zengguang; Zhang, Chutian

A Classification Framework Based on Multi-modal Features for Detection of Cognitive Impairments Journal Article

In: Intelligent Robotics: Third China Annual Conference, CCF CIRAC 2022, pp. 349–361, 2023.

Abstract | Links | BibTeX

Kambhamettu, Sudhendra; Cruz, Meenalosini Vimal; Anitha, S; Chakkaravarthy, S Sibi; Kumar, K Nandeesh

Brain-Computer Interface-Assisted Automated Wheelchair Control Management--Cerebro: A BCI Application Journal Article

In: Brain-Computer Interface: Using Deep Learning Applications, pp. 205–229, 2023.

Abstract | Links | BibTeX


Dhaliwal, BS; Haddad, J; Debrincat, M; others,

Changes in Electroencephalogram (EEG) After Foot Stimulation with Embedded Haptic Vibrotactile Trigger Technology: Neuromatrix and Pain Modulation Considerations. Anesth Pain Res. 2022; 6 (2): 1-11 Journal Article

In: Correspondence: Peter Hurwitz, Clarity Science LLC, vol. 750, 2022.

Abstract | Links | BibTeX

Ocay, Don Daniel; Teel, Elizabeth F; Luo, Owen D; Savignac, Chloé; Mahdid, Yacine; Blain-Moraes, Stefanie; Ferland, Catherine E

Electroencephalographic characteristics of children and adolescents with chronic musculoskeletal pain Journal Article

In: PAIN Reports, vol. 7, no. 6, pp. e1054, 2022.

Abstract | Links | BibTeX

Chang, Won Kee; Lim, Hyunmi; Park, Seo Hyun; Lim, Chaiyoung; Paik, Nam-Jong; Kim, Won-Seok; Ku, Jeonghun

Effect of Immersive Virtual Mirror Visual Feedback on Mu Suppression and Coherence in Motor and Parietal Cortex in Stroke Journal Article

In: 2022.

Abstract | Links | BibTeX

Chanpornpakdi, Ingon; Noda, Motoi; Tanaka, Toshihisa; Harpaz, Yuval; Geva, Amir B

Clustering of advertising images using electroencephalogram Conference

Proceedings of 2022 APSIPA Annual Summit and Conference, 2022.

Abstract | Links | BibTeX

Woo, Hee-Soon; Song, Chiang-Soon

Effects of Low Visual Acuity Simulations on Eye-Hand Coordination and Brainwaves in Healthy Adults Journal Article

In: Physical Therapy Rehabilitation Science, vol. 11, no. 3, pp. 296–303, 2022.

Abstract | Links | BibTeX

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