Wearable Sensing’s wireless DSI-Flex is the leading dry electrode EEG system in terms of signal quality and comfort. The DSI-Flex takes on average less than 5 minutes to set up, making it the ideal solution for scientists in need of a simple, easy to use, EEG system. Our patented sensor technology not only delivers uncompromised signal quality but also enables our system to be virtually immune against motion and electrical artifacts.
The DSI-Flex has dry sensors on flexible cables, enabling scientists to place the electrodes in varying configurations on the head. These flexible sensors are designed to be screwed into custom caps, so that scientists can order 1 DSI-Flex, and multiple caps, allowing for rapid application of multiple electrode configurations. Every sensor on the DSI-Flex can be customized as either ExG, GSR, TEMP, and REP. It also has a 4-bit trigger input to synchronize with other devices such as Eye-Tracking, Motion (IMU), and more.
Used around the world by leaders in Research, & Brain-Computer Interfaces
With over 90% correlation to research-grade wet EEG systems, the dry sensor interface (DSI) offers unparalleled quality and performance
Multiple adjustment points and a foam pad lined interior enable the system to be worn for up to 8 hours on any head shape or size
All DSI systems include free, unlimited licenses of DSI-Streamer, our data acquisition software which can record raw data, in .csv and .edf file formats
Faraday cage's, spring-loaded electrodes, and our patented common-mode follower technology, provides near immunity against electrical and motion artifacts
Using 70% isopropyl alcohol and a cleaning brush, the DSI-24 only takes a minute to clean, 3 minutes to dry, and can be up and running on the next subject in minutes
All DSI systems include our free C based .dll API, which enables users to pull the raw data directly from the headset, for custom software on Windows, Mac OS, Linux, and ARM
The DSI-Flex was designed for ultra-rapid setup, taking on average less than 5 minutes to don, and works on any type of hair, including long hair, thick hair, afros, and more
DSI headsets have active sensors, amplifiers, digitizers, batteries, onboard storage, and wireless transmission, making them complete, mobile, wearable EEG systems
DSI systems exclusively work with QStates, a machine learning algorithm for cognitive classification on states such as mental workload, engagement, and fatigue
Our Wireless Trigger Hub simplifies the synchronization of DSI headsets with other devices. It features:
An additional benefit of the Trigger Hub design is that it allows synchronization across multiple data sources that are distributed across multiple systems, each of which running at its own clock rate. One such case commonly experienced in EEG experiments involves the synchronization of EEG and eye-tracking measurements, where the inevitable clock drift that arises between two systems during extended measurements creates difficulty in aligning data to events across the two systems.
The DSI-Flex can be customized so that an EEG sensor is replaced with a DSI auxiliary sensor. There are up to 7 locations on the DSI-Flex, enabling any configuration of the following sensors: EEG, ECG, EMG, EOG, GSR, RESP, & TEMP. The sensor data is collected and recorded in our data acquisition software, DSI-Streamer, where you can view the EEG and Aux sensors in real-time.
EEG Channels
Up to 7 Custom Sensor Locations
Reference / Ground
Common Mode Follower / Custom
Head Size Range
Custom Caps
Sampling Rate
300 Hz (600Hz upgrade available)
Bandwidth
0.003 – 150 Hz
A/D resolution
0.317 μV referred to input
Input Impedance (1Hz)
47 GΩ
CMRR
> 120 dB
Amplifier / Digitizer
16 bits / 7 channels
Wireless
Bluetooth
Wireless Range
10 m
Run-time
> 12 hours
Onboard Storage
~ 68 Hours (available option)
Data Acquisition
Real time, evoked potentials
Signal Quality Monitoring
Continuous impedance, Baseline offset, Noise (1-50 Hz)
Data Type
Raw and Filtered Data available
File Type
.CSV and .EDF
Data Output Streaming
TCP/IP socket, API (C Based), LSL
Cognitive State Classification
Brain Computer Interface
SSVEP BCI Algorithms; BCI2000; OpenViBE; PsychoPy; BCILab
Data Integration / Analysis
CAPTIV; Lab Streaming Layer; NeuroPype; BrainStorm; NeuroVIS
Neurofeedback
Applied Neuroscience NeuroGuide; Brainmaster Brain Avatar; EEGer
Neuromarketing
CAPTIV Neurolab
Presentation
Presentation; E-Prime
Harel, Asaf; Shriki, Oren
Task-guided attention increases non-linearity of steady-state visually evoked potentials Journal Article
In: Journal of Neural Engineering, 2024.
@article{harel2024task,
title = {Task-guided attention increases non-linearity of steady-state visually evoked potentials},
author = {Asaf Harel and Oren Shriki},
doi = {https://doi.org/10.1088/1741-2552/ad8032},
year = {2024},
date = {2024-09-26},
urldate = {2024-01-01},
journal = {Journal of Neural Engineering},
abstract = {Attention is a multifaceted cognitive process, with nonlinear dynamics playing a crucial role. In this study, we investigated the involvement of nonlinear processes in top-down visual attention by employing a contrast-modulated sequence of letters and numerals, encircled by a consistently flickering white square on a black background - a setup that generated steady-state visually evoked potentials. Nonlinear processes are recognized for eliciting and modulating the harmonics of constant frequencies. We examined the fundamental and harmonic frequencies of each stimulus to evaluate the underlying nonlinear dynamics during stimulus processing. In line with prior research, our findings indicate that the power spectrum density of EEG responses is influenced by both task presence and stimulus contrast. By utilizing the Rhythmic Entrainment Source Separation (RESS) technique, we discovered that actively searching for a target within a letter stream heightened the amplitude of the fundamental frequency and harmonics related to the background flickering stimulus. While the fundamental frequency amplitude remained unaffected by stimulus contrast, a lower contrast led to an increase in the second harmonic's amplitude. We assessed the relationship between the contrast response function and the nonlinear-based harmonic responses. Our findings contribute to a more nuanced understanding of the nonlinear processes impacting top-down visual attention while also providing insights into optimizing brain-computer interfaces.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cha, Seungwoo; Kim, Kyoung Tae; Chang, Won Kee; Paik, Nam-Jong; Choi, Ji Soo; Lim, Hyunmi; Kim, Won-Seok; Ku, Jeonghun
Effect of Electroencephalography-based Motor Imagery Neurofeedback on Mu Suppression During Motor Attempt in Patients with Stroke Journal Article
In: Journal of NeuroEngineering and Rehabilitation , 2024.
@article{cha2024effect,
title = {Effect of Electroencephalography-based Motor Imagery Neurofeedback on Mu Suppression During Motor Attempt in Patients with Stroke},
author = {Seungwoo Cha and Kyoung Tae Kim and Won Kee Chang and Nam-Jong Paik and Ji Soo Choi and Hyunmi Lim and Won-Seok Kim and Jeonghun Ku},
doi = {https://doi.org/10.21203/rs.3.rs-5106561/v1},
year = {2024},
date = {2024-09-26},
urldate = {2024-01-01},
journal = {Journal of NeuroEngineering and Rehabilitation },
abstract = {Objective
The primary aims of this study were to explore the neurophysiological effects of motor imagery neurofeedback using electroencephalography (EEG), specifically focusing on mu suppression during serial motor attempts and assessing its potential benefits in patients with subacute stroke.
Methods
A total of 15 patients with hemiplegia following subacute ischemic stroke were prospectively enrolled in this randomized cross-over study. This study comprised two experiments: neurofeedback and sham. Each experiment included four blocks: three blocks of resting, grasp, resting, and intervention, followed by one block of resting and grasp. During the resting sessions, the participants fixated on a white cross on a black background for 2 minutes without moving their upper extremities. In the grasp sessions, the participants were instructed to grasp and release their paretic hand at a frequency of about 1 Hz for 3 minutes while fixating on the same white cross. During the intervention sessions, neurofeedback involved presenting a punching image with the affected upper limb corresponding to the mu suppression induced by imagined movement, while the sham involved mu suppression of other randomly selected participants 3 minutes. EEG data were recorded during the experiment, and data from C3/C4 and P3/P4 were used for analyses to compare the degree of mu suppression between the neurofeedback and sham conditions.
Results
Significant mu suppression was observed in the bilateral motor and parietal cortices during the neurofeedback intervention compared with the sham condition across serial sessions (p < 0.001). Following neurofeedback, the real grasping sessions showed progressive strengthening of mu suppression in the ipsilesional motor cortex and bilateral parietal cortices compared to those following sham (p < 0.05), an effect not observed in the contralesional motor cortex.
Conclusion
Motor imagery neurofeedback significantly enhances mu suppression in the ipsilesional motor and bilateral parietal cortices during motor attempts in patients with subacute stroke. These findings suggest that motor imagery neurofeedback could serve as a promising adjunctive therapy to enhance motor-related cortical activity and support motor rehabilitation in patients with stroke.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Yfantidou, I; Tsourvakas, G; Oikonomou, VP; Kompatsiaris, I
Consumer response to different discount sales promotional messages. An eye tracking and EEG experiment Miscellaneous
2024.
@misc{yfantidouconsumer,
title = {Consumer response to different discount sales promotional messages. An eye tracking and EEG experiment},
author = {I Yfantidou and G Tsourvakas and VP Oikonomou and I Kompatsiaris},
url = {https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0000962.pdf},
year = {2024},
date = {2024-09-04},
abstract = {This article presents a study of consumer behavior during the selection of products from a supermarket’s leaflet. There are many factors that can determine whether a particular product attracts consumers’ attention, such as price, brand, and sales discount. This study is focused on consumers’ preferences among the three most common sales discount types. For the purpose of the study a leaflet that is identical to a real supermarket leaflet was designed, to resemble a real-life experience. Eye tracking and EEG were used to record participants’ gaze and emotions while viewing the leaflet. The behavior of 42 participants was investigated and it was identified how valuable the clarity of the promotional message is. Moreover, EEG helped us analyze basic nonconscious preferences and cognitive processes, such as the effect of memorization, approach-withdrawal and workload in decision making.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Georgiadis, Kostas; Nikolopoulos, Spiros; Kalaganis, Fotis P; Kompatsiaris, Ioannis; Laskaris, Nikos A
Assessing video advertising engagement via Nonlinear Intersubject Correlation Analysis of EEG and eye tracking dynamics Miscellaneous
2024.
@misc{georgiadisassessing,
title = {Assessing video advertising engagement via Nonlinear Intersubject Correlation Analysis of EEG and eye tracking dynamics},
author = {Kostas Georgiadis and Spiros Nikolopoulos and Fotis P Kalaganis and Ioannis Kompatsiaris and Nikos A Laskaris},
url = {https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0000957.pdf},
year = {2024},
date = {2024-09-01},
abstract = {A novel framework for assessing engagement through video commercials is presented. Deviating from the current approaches, here we cast the problem as nonlinear intersubject correlation analysis and pursue the collective (i.e. across-participants) treatment of EEG signals and eye-tracking measurements. Regarding brain dynamics, two well-known descriptors, namely spatial covariance and phase locking value, undergo transcription to their ‘hyperscanning’ equivalents. Regarding eye-related measurements, individual paths and pupillometric measurements are summarized at population level. Using data from a recording paradigm, where each participant independently watched a cartoon video interrupted by a commercial clip, we show that our approach can provide signatures of engagement to the content being delivered and reconstruct the level of appreciation of the potential consumers.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Al-Ezzi, Abdulhakim; Arechavala, Rebecca J; Butler, Ryan; Nolty, Anne; Kang, Jimmy J; Shimojo, Shinsuke; Wu, Daw-An; Fonteh, Alfred N; Kleinman, Michael T; Kloner, Robert A; others,
Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau Journal Article
In: Communications Biology, vol. 7, no. 1, pp. 1037, 2024.
@article{al2024disrupted,
title = {Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau},
author = {Abdulhakim Al-Ezzi and Rebecca J Arechavala and Ryan Butler and Anne Nolty and Jimmy J Kang and Shinsuke Shimojo and Daw-An Wu and Alfred N Fonteh and Michael T Kleinman and Robert A Kloner and others},
doi = {https://doi.org/10.1038/s42003-024-06673-w},
year = {2024},
date = {2024-08-23},
urldate = {2024-01-01},
journal = {Communications Biology},
volume = {7},
number = {1},
pages = {1037},
publisher = {Nature Publishing Group UK London},
abstract = {Alterations in functional connectivity (FC) have been observed in individuals with Alzheimer’s disease (AD) with elevated amyloid (Aβ) and tau. However, it is not yet known whether directed FC is already influenced by Aβ and tau load in cognitively healthy (CH) individuals. A 21-channel electroencephalogram (EEG) was used from 46 CHs classified based on cerebrospinal fluid (CSF) Aβ tau ratio: pathological (CH-PAT) or normal (CH-NAT). Directed FC was estimated with Partial Directed Coherence in frontal, temporal, parietal, central, and occipital regions. We also examined the correlations between directed FC and various functional metrics, including neuropsychology, cognitive reserve, MRI volumetrics, and heart rate variability between both groups. Compared to CH-NATs, the CH-PATs showed decreased FC from the temporal regions, indicating a loss of relative functional importance of the temporal regions. In addition, frontal regions showed enhanced FC in the CH-PATs compared to CH-NATs, suggesting neural compensation for the damage caused by the pathology. Moreover, CH-PATs showed greater FC in the frontal and occipital regions than CH-NATs. Our findings provide a useful and non-invasive method for EEG-based analysis to identify alterations in brain connectivity in CHs with a pathological versus normal CSF Aβ/tau.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chung, Jiwon; Yoon, Jung Eun; Park, Soah; Won, Hyunbin; Ha, Suhyun; Koo, Sumin Helen
Design development and evaluation of arm movement-assistive suits for lifting and movement for industrial workers considering wearability Journal Article
In: International Journal of Industrial Ergonomics, vol. 103, pp. 103616, 2024.
@article{chung2024design,
title = {Design development and evaluation of arm movement-assistive suits for lifting and movement for industrial workers considering wearability},
author = {Jiwon Chung and Jung Eun Yoon and Soah Park and Hyunbin Won and Suhyun Ha and Sumin Helen Koo},
doi = {https://doi.org/10.1016/j.ergon.2024.103616},
year = {2024},
date = {2024-08-03},
urldate = {2024-01-01},
journal = {International Journal of Industrial Ergonomics},
volume = {103},
pages = {103616},
publisher = {Elsevier},
abstract = {Wearability of clothing is important for enhancing work efficiency and resistance among industrial workers. In this study, we developed wearable suit designs for shoulder and upper limb support when lifting objects considering the wearability of the user in the development stage. We provide basic data on the wearability of functional clothing and wearable suits, with emphasis on improving safety and work efficiency. Two distinct wearable suit designs, namely long- and short-sleeved, were developed and evaluated with a primary focus on wearer comfort. Employing a comprehensive approach encompassing textile analysis, performance assessment, brainwave investigation, and satisfaction surveys, this study provides objective insights for refining the wearability in wearable suit development. A short-sleeved design is recommended for the development of wearable suits tailored to assist industrial workers in tasks requiring muscle strength for heavy loads and repetitive motions. Our results provide foundational data on the wearability of robotic suits in a bid to enhance the safety and efficiency of industrial workers.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
He, Jiali; Chan, Sunny HW; Lin, Jingxia; Tsang, Hector WH
In: Sleep Medicine, 2024.
@article{he2024integration,
title = {Integration of Tai Chi and repetitive transcranial magnetic stimulation for sleep disturbances in older adults: A pilot randomized controlled trial},
author = {Jiali He and Sunny HW Chan and Jingxia Lin and Hector WH Tsang},
doi = {https://doi.org/10.1016/j.sleep.2024.07.029},
year = {2024},
date = {2024-08-02},
urldate = {2024-01-01},
journal = {Sleep Medicine},
publisher = {Elsevier},
abstract = {Background
The arousal state has been demonstrated to be involved in the fundamental pathophysiological mechanism of sleep disturbances. Tai Chi (TC) and repetitive transcranial magnetic stimulation (rTMS) have been documented to alleviate sleep disturbances by interfering with different arousal components. It is reasonable to assume that combining TC and rTMS could induce synergistic and longer-lasting benefits for sleep disturbances.
Methods
Thirty-eight older community-dwelling people were randomly assigned to one of three groups: TC plus rTMS (n = 12), TC alone (n = 13), and treat-as-usual (TAU) (n = 13). The interventions were conducted three times per week for 4 weeks for the two intervention groups. The primary outcome was the insomnia severity, while the secondary outcomes were the actigraphy-assessed sleep patterns, use of hypnotic medications, mood states, and quality of life. The mediator outcomes included self-reported somatic arousal and cognitive arousal as well as electroencephalogram (EEG)-assessed cortical arousal. The assessments were conducted at baseline (T0), post-intervention (T1), and 3-month follow-up (T2).
Results
Significant improvements in the insomnia severity were observed in the TC plus rTMS group compared with the TAU group at T1 (Cohen’s d = 1.62, p = .003) and T2 (Cohen’s d = 1.97, p < .001). In contrast, significant improvements in the TC alone group were found only at T2 (Cohen’s d = 1.03, p = .010) when compared with the TAU group. Significant interaction effects were noted on the actigraphy-assessed sleep efficiency (p = .015) and total sleep time (p = .004), depression (p = .003) and stress scores (p = .002), and mental function in relation to quality of life (p = .042). However, none of the mediators elucidated how combining TC and rTMS could improve the insomnia severity.
Conclusion
The research findings are expected to guide further clinical practice in the management of sleep disturbances among older adults using various interventions. Future studies are needed to unravel the underlying mechanism and optimize the protocol to maximize the therapeutic benefits.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Alrasheedi, Aseel A; Alrabeah, Alyah Z; Almuhareb, Fatemah J; Alras, Noureyah MY; Alduaij, Shaymaa N; Karar, Abdullah S; Said, Sherif; Youssef, Karim; Kork, Samer Al
Utilizing Dry Electrode Electroencephalography and AI Robotics for Cognitive Stress Monitoring in Video Gaming Journal Article
In: Applied System Innovation, vol. 7, no. 4, pp. 68, 2024.
@article{alrasheedi2024utilizing,
title = {Utilizing Dry Electrode Electroencephalography and AI Robotics for Cognitive Stress Monitoring in Video Gaming},
author = {Aseel A Alrasheedi and Alyah Z Alrabeah and Fatemah J Almuhareb and Noureyah MY Alras and Shaymaa N Alduaij and Abdullah S Karar and Sherif Said and Karim Youssef and Samer Al Kork},
doi = {https://doi.org/10.3390/asi7040068},
year = {2024},
date = {2024-07-31},
urldate = {2024-01-01},
journal = {Applied System Innovation},
volume = {7},
number = {4},
pages = {68},
publisher = {MDPI},
abstract = {This research explores the integration of the Dry Sensor Interface-24 (DSI-24) EEG headset with a ChatGPT-enabled Furhat robot to monitor cognitive stress in video gaming environments. The DSI-24, a cutting-edge, wireless EEG device, is adept at rapidly capturing brainwave activity, making it particularly suitable for dynamic settings such as gaming. Our study leverages this technology to detect cognitive stress indicators in players by analyzing EEG data. The collected data are then interfaced with a ChatGPT-powered Furhat robot, which performs dual roles: guiding players through the data collection process and prompting breaks when elevated stress levels are detected. The core of our methodology is the real-time processing of EEG signals to determine players’ focus levels, using a mental focusing feature extracted from the EEG data. The work presented here discusses how technology, data analysis methods and their combined effects can improve player satisfaction and enhance gaming experiences. It also explores the obstacles and future possibilities of using EEG for monitoring video gaming environments.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Xu, Jihong; Chen, Tianran; Yan, Lirong
Improvement Of An Untrained Brain-computer Interface System Combined With Target Recognition Proceedings Article
In: 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. 1–6, IEEE 2024.
@inproceedings{xu2024improvement,
title = {Improvement Of An Untrained Brain-computer Interface System Combined With Target Recognition},
author = {Jihong Xu and Tianran Chen and Lirong Yan},
doi = {10.1109/ECAI61503.2024.10607572},
year = {2024},
date = {2024-07-30},
urldate = {2024-01-01},
booktitle = {2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)},
pages = {1–6},
organization = {IEEE},
abstract = {In the current commonly used Steady State Visual Evoked Potential (SSVEP) paradigm, the stimuli are mostly white flashing blocks superimposed on a black background, which is monotonous and easy to cause subject fatigue with prolonged flashing stimuli. The stimulus paradigm is mostly divorced from the actual control environment, and lacks a direct connection with the control task. The mainstream classification algorithms usually analyze the data with a fixed window length, which is lack of generalizability to different subjects, and the classification performance index needs to be further improved. In this study, the SSVEP stimulus paradigm was improved by combining the YOLOv5 algorithm, which changed from the traditional black background to the actual control environment. It superimposed SSVEP stimulus blocks of different frequencies at each recognized target location. The stimulus paradigm was not stripped from the control scene, and the Filter Bank Criterion Correlation Analysis (FBCCA) algorithm was chosen to analyze it. The FBCCA algorithm was further improved by using a dynamic window strategy, which automatically adjusts the window length of each experiment according to the characteristics of each subject. This improves the versatility of the algorithm and increases the recognition accuracy and Information Transfer Rate (ITR). After the improvement, the offline experimental data were analyzed. The improved algorithm achieved an average accuracy of 87.08%, which was 17.29% higher than the original algorithm. Additionally, the average ITR was 74.28 bits/min, which was 36.51 bits/min higher than the original algorithm.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Yoon, Jeong Eun; Chung, Jiwon; Park, Soah; Won, Hyunbin; Kim, Changhwan; Baek, Inryeol; Koh, Je-sung; Koo, Sumin Helen
Evaluation of Gait-assistive Soft Wearable Robot Designs for Wear Comfort, Focusing on Electroencephalogram and Satisfaction Journal Article
In: IEEE Robotics and Automation Letters, 2024.
@article{yoon2024evaluation,
title = {Evaluation of Gait-assistive Soft Wearable Robot Designs for Wear Comfort, Focusing on Electroencephalogram and Satisfaction},
author = {Jeong Eun Yoon and Jiwon Chung and Soah Park and Hyunbin Won and Changhwan Kim and Inryeol Baek and Je-sung Koh and Sumin Helen Koo},
doi = {10.1109/LRA.2024.3433834},
year = {2024},
date = {2024-07-25},
urldate = {2024-01-01},
journal = {IEEE Robotics and Automation Letters},
publisher = {IEEE},
abstract = {Wearable robots should be comfortable; however, there is lack of research on wear comfort for wearable robots has been conducted. This study aimed to evaluate the comfort of wearable soft robot platforms designed for walking assistance. We proposed clothing-based wearable robot platforms that prioritized wearer comfort to contribute to the advancement of a more human-centered wearable robot. Two designs, Design 1 (pant-type) and Design 2 (suit-type), were used to analyze the comfort of wearing the developed wearable robot platforms for gait assistance, using electroencephalogram (EEG) measurements and post-wear satisfaction evaluation. Design 2 revealed more comfort data than Design 1 when walking; thus, enhancing people's satisfaction. The findings can contribute to the development of comfortable soft wearable robots, thereby enabling people to walk without difficulty in their daily lives.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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