Introducing the 100 Series from Qneuro

H 100 by Qneuro is the world’s first hybrid EEG hat, designed to empower academic researchers, neuroscience labs, and wearable technology developers with a versatile, user-friendly platform for real-time acquisition of brain and physiological data.

8-channel hybrid EEG

2-channel PPG

9-axis IMU sensor

Delivers a unified, multimodal dataset from a single, comfortable device

Built for Research. Designed for Simplicity.

Hybrid EEG Sensors

Patented dry electrode technology ensures high-resolution brainwave acquisition—without gels or complex prep.

Comprehensive Data Capture

Measure cognitive and physiological states such as attention, focus, engagement, relaxation, cognitive fatigue, HR, HRV, RR, SpO2, and physical gestures—in real-time.

Robust Compatibility

Seamlessly works across Mac, iOS, Android, and Windows platforms via Bluetooth 4.2 (Classic and LE) and proprietary 2.4GHz protocols.

Research-Ready API & Tools

Includes developer support and APIs for creating advanced applications and conducting custom analysis.

Effortless Setup

Sporty, gel-free design enables researchers to start capturing clean EEG signals in minutes, reducing overhead in lab and field environments.

Testimonials

I am particularly impressed by the H100 Hat’s strong emphasis on signal fidelity and physiologically validated measurement frameworks. The adoption of a hybrid EEG electrode architecture, combined with real-time algorithmic signal quality evaluation, reflects a robust engineering methodology that is well aligned with rigorous academic research standards. Moreover, the integrated deployment of EEG, PPG, and IMU sensors within the H100 Hat creates a cohesive multimodal platform, enabling comprehensive investigation of dynamic brain–body interactions with enhanced reliability and analytical depth.

Dr. K. Adalarasu

Professor

I have been using the Neurostate Hat from QNeuro India Pvt. Ltd. for my research in memory management and cognitive emotion studies, and I must say the product has exceeded my expectations.

The Neurostate Hat is extremely user-friendly and non-intrusive, making it remarkably easy to wear and operate. Unlike traditional EEG systems, there is no need for time-consuming electrode placement procedures — this significantly saves preparation time while ensuring comfort for the subjects.

The quality of brain signal acquisition is highly commendable, and the built-in software efficiently removes motion artifacts, which is a great advantage during real-time experiments. The affordability of the device, combined with its high performance, makes it an excellent tool not just for advanced academic research, but also for hobby and exploratory projects in neuroscience and cognitive technology.

I highly recommend the Neurostate Hat for researchers, educators, and enthusiasts who are looking for a reliable, cost-effective, and innovative solution for brain-computer interface and neurotechnology applications.

Dr. M. Jagannath

Professor, School of Electronics Engineering Vellore Institute of Technology, Chennai

Citations

Kanagasabai, A., Ramanathan, K. C., Prakash, I., Shafiullah, M., & Srinivasan, R. (2026). Distinct Neural Signatures of Sama and Yajur Veda Chanting-An EEG and Functional Connectivity Study. Advances in Integrative Medicine, 100655.

Durairaj, H., Jagannath, M., Parvathi G, U., Jaganathan, S., Adalarasu, K., Narasimhan, K., & Bhardwaj, R. (2026). EEG-Driven Physical Load Detection During Human Walking for Robotic and Automation Systems. In EPJ Web of Conferences (Vol. 367, p. 02006). EDP Sciences.

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