A wearable device integrating cutting-edge biosensing and AI algorithms, designed to help users monitor and optimize their mental state through real-time EEG signal acquisition and analysis.
A wearable device integrating cutting-edge biosensing and AI algorithms, designed to help users monitor and optimize their mental state through real-time EEG signal acquisition and analysis. The device uses non-invasive dry electrode sensors that can stably capture EEG signals from the wearer's forehead area without conductive gel, converting raw brainwave data into quantifiable psychological parameters such as Focus Level and Relaxation Level (value range 0–100, updated more than 10 times per second). Building on this, it further supports fatigue assessment and mindfulness state detection, providing users with a more comprehensive analysis of emotional and cognitive states.
In terms of wearing comfort, this type of earphone follows the design of regular wireless earphones, featuring a lightweight body and highly adaptable structure, typically equipped with adjustable ear hooks or headbands to ensure comfort during extended wear and stable signal acquisition. Meanwhile, the accompanying software platform (XinNao App) provides data synchronization, visual report generation, and personalized label management, allowing users to view their brainwave data and mental state changes at any time. Notably, the device also provides a Software Development Kit (SDK), enabling developers to conduct secondary development based on raw EEG data, offering innovative application possibilities in fields such as gaming interaction, educational training, and mental health intervention.
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With an Equivalent Input Noise as low as 1 µV and a Common Mode Rejection Ratio (CMRR) of approximately 105 dB, the device provides a solid foundation for high-fidelity EEG signal analysis. In terms of signal amplification configuration, it supports flexible gain adjustment via SPI interface, and its high input impedance makes it compatible with non-invasive collection solutions such as dry electrodes or fabric electrodes, significantly improving wearing comfort and ease of use. Additionally, the chip features a built-in precision power management module supporting a wide voltage input range from 2 V to 3.7 V, compatible with a variety of power supply systems.
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