✨ New here? Welcome to the #neurotech community! 👋 Meet our DSI technology — the industry-leading dry EEG system, designed to deliver exceptional signal quality and comfort. We’re revolutionizing wearable devices to take brain imaging into everyday real-world applications 🧠
Wearable Sensing
Biotechnology Research
San Diego, CA 1,156 followers
Revolutionizing EEG | High-Fidelity Brain Monitoring for Real-World Applications
About us
Wearable Sensing is a rapidly growing neurotechnology company that specializes in developing wearable sensors for brain activity monitoring. Our patented Dry Sensor Interface (DSI) technology ensures high signal quality and artifact-free physiological monitoring in easy-to-use, mobile form factors. By facilitating brain activity monitoring in real-world environments, our practical EEG headsets are revolutionizing the neuroscience research field and enabling innovative applications across various commercial domains, such as neurorehabilitation, brain computer interface (BCI), virtual reality, neurofeedback, neuromarketing, neuroeducation, and many more.
- Website
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http://www.wearablesensing.com
External link for Wearable Sensing
- Industry
- Biotechnology Research
- Company size
- 11-50 employees
- Headquarters
- San Diego, CA
- Type
- Privately Held
- Founded
- 2013
- Specialties
- EEG, Dry Electrode, Brain Monitoring, Neurofeedback, Neuromarketing, BCI, brain-computer interface, Virtual Reality, Neurorehabilitation, Neuroscience, Research, fNIRS, Biosensors, Multimodal, electrophysiology, and electroencephalogram
Locations
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Primary
16744 West Bernardo Drive
San Diego, CA 92127, US
Employees at Wearable Sensing
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Walid Soussou
President at Wearable Sensing
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Melissa Poquette
President at QUASAR
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tobin mcmanus
Senior Project Manager at Quasar
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Sahana Nagabhushan, PhD
Scientist | Neurotech | Biomarker Discovery | Precision Medicine | Signal Processing | Clinical Data Management | Qualitative & Quantitative Analysis…
Updates
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Check out QUASAR Federal Systems, Inc latest developments, embedding high fidelity #dryEEG sensors into Air Force Military flight helmets for operator cognitive state monitoring. We're excited to showcase our DSI technology alongside QUASAR at the #MHSRS 2024 conference in Kissimmee FL this week! If you're interested in learning more about this technology, send us a message or email [email protected] 🧠
QUASAR is excited to present its latest wearable sensor technologies at Booth #1425 of the Military Health System Research Symposium (MHSRS) in Kissimmee, FL this week (26-29 August). QUASAR has recently been awarded 1 Air Force SBIR and 2 DHA contracts to embed its non-invasive high-fidelity brain activity sensors into military flight helmets for Operator State Monitoring. QUASAR will showcase the prototypes developed under these projects, while its spin-off, Wearable Sensing demonstrates the commercial version of this physiological sensor suite (EEG/ECG/EMG/EOG/...) intended for neuroscience research applications.
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Wearable Sensing reposted this
✨ New here? Welcome to the #neurotech community! 👋 Meet our DSI technology — the industry-leading dry EEG system, designed to deliver exceptional signal quality and comfort. We’re revolutionizing wearable devices to take brain imaging into everyday real-world applications 🧠
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Check out this incredible opportunity to work on the frontier of brain-machine interface, human factors, and flight simulation research! Umberto Saetti, PhD lab at the University of Maryland is utilizing cutting-edge tools to advance flight dynamics, aeromechanics modeling, and flight simulation applications. We are excited to support these efforts with our DSI-EEG fNIRS hybrid system, and look forward to the valuable research and developments that will arise from this work!
As my lab is taking an exciting turn into human factors, we have multiple open MS/PhD positions at the intersection of human factors, human-machine interaction (HMI), and flight dynamics & control. For more detailed information on the available projects, as well as on the lab's research activities, please refer to the attached document. We are seeking applicants with experience in one or more of the following domains: aerospace engineering, human factors, neurophysiological signal analysis, electroencephalography (EEG), Functional Near-Infrared Spectroscopy (fNIRS), and practical experience in the design and development of biomedical devices. Interested candidates are encouraged to submit their CV at [email protected]. Please help spread the word! More on my lab's research at: https://umbertosaetti.com/ University of Maryland University of Maryland - A. James Clark School of Engineering University of Maryland Department of Aerospace Engineering Alfred Gessow Rotorcraft Center #HumanFactors #HMI
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What do we mean by real-world applications? 🌎 Neuroscience research has traditionally been limited to controlled laboratory environments, as the real-world is full of uncertain controls. For EEG research, this looks like electromagnetic frequencies, radio signals, movements, etc. As you can imagine, conducting research within a controlled laboratory environment can often lead to difficulties translating your research to scenarios or applications in the real-world, where the research-impact is highest. Real-world neuroscience research requires robust tools that can produce quality 🧠 signal in a stable fashion. Ready to take your research to the next level? Explore how our technology can help you push boundaries—indoors and out. #neurotech #EEG #neuroscience #researchimpact
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How can we ensure pilots and air traffic controllers stay sharp when every second counts? ✈ 🚁 In the high-stakes environment of aviation, maintaining peak cognitive performance is essential. Pilots and air traffic controllers make split-second decisions that can mean the difference between safety and disaster. But how can we ensure that their mental sharpness remains at its best? By analyzing brainwave patterns in real time, researchers are exploring ways to detect early signs of fatigue or cognitive overload, potentially preventing errors before they happen. Imagine an aviation system that could provide real-time feedback to enhance decision-making in the cockpit or control tower—revolutionizing aviation safety. While this area of research is still evolving, companies like Wearable Sensing are dedicated to advancing the tools and technology that could make these innovations possible. Our dry EEG systems, known for their easy-to-use and reliable monitoring capabilities, are already helping researchers gain deeper insights into cognitive states across various fields. By supporting ongoing research in cognitive monitoring, we can contribute to safer skies and a smarter future in aviation. #aviation #neurotech #EEG #aerospace #engineering #neuroscience learn more at wearablesensing.com
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mobile 🤝 comfortable signal quality 🤝 easy to use for hassle-free EEG signal in minutes, check out wearablesensing.com or reach out to [email protected] to upgrade your data collection today #neurotech #eeg #technology #BCI
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🧠 Imagine a VR world that adapts to your brain activity Virtual reality (VR) offers immersive experiences that can be significantly enhanced with EEG (electroencephalography) technology. Researchers utilizing VR systems can create adaptive environments that respond to the user's mental state by monitoring brain activity. Check out below how our DSI-VR300 system easily integrates with VR headsets, such as the Meta Quest and HTC VIVE, offering high-quality EEG data collection with minimal interference. We hope this technology will encourage developers to create VR experiences that are not only immersive but also personalized, enhancing user engagement. #EEG #VR #BCI #Neurotech
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What is an ERP, and how can they be used to control drones? 🚁 🧠 Event-related potentials (ERPs) are crucial for studying the brain’s electrical response to specific sensory, cognitive, or motor events. These brainwave patterns provide insights into how we processes different stimuli, making them invaluable for both research and clinical applications. Among the many useful ERPs, the P300 is particularly significant. This wave occurs roughly 300 milliseconds after an "odd" stimulus is presented and can be decoded and classified in real-time for various applications, including brain-computer interfaces (BCI's). A notable P300 BCI application is showcased in the research article "P300 Brain–Computer Interface-Based Drone Control in Virtual and Augmented Reality", Kim et al 2021. https://lnkd.in/ggiC_wF8 Utilizing the DSI-VR300, this research group developed an open-source drone control application, which works in both augmented and virtual reality. The high quality EEG signal and easy-to-use design from the DSI-VR300 paired with their P300 application enabled real-time classification accuracy and control of a drone-based brain-computer interface application. We are committed to providing researchers with the high signal quality they need to create reliable ERP applications, and we're excited to enable new possibilities in BCI. #Neurotech #ERP #BCI #VR #EEG
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Don’t settle for bad data! Signal quality is crucial for EEG recordings as it directly impacts the accuracy and reliability of your collected data. Ensuring that the brain activity being measured is clear and precise will save you time and effort in the long run, leading to valid and reproducible results. Artifacts, such as motion and electrical interference, introduce noise and distortions into your data, masking the underlying neural signals and potentially leading to false interpretations. Minimizing these artifacts is essential for obtaining clean, usable data that accurately reflects the brain's activity. High signal quality is a core value of DSI technology and something we take seriously at Wearable Sensing. As you can see in the video below, our devices are carefully designed to minimize motion and electrical artifacts, providing you with clean, reliable data during motion and in real-world environments. To learn more about how we prioritize signal quality, head to our website https://lnkd.in/dxUWm8d or email [email protected] to book a live demo. #EEG #neuroscience #neurotech #signalquality