The NeuroSense chip serves as a state-of-the-art solution for wearables, notably enhancing the accuracy and efficiency of health monitoring applications. It relies on Neuromorphic Analog Signal Processing technology to address key issues in mass-market wearables such as heart rate measurement accuracy and power consumption. NeuroSense ensures always-on, cloud-independent operations, providing three times better heart rate accuracy compared to conventional algorithms while maintaining ultra-low power usage, consuming less than 100µW.
The chip is embedded with sophisticated features such as human activity recognition directly at the sensor level, permitting wearables to operate without extensive cloud support. This capability not only offers longer battery life but also boosts the device's data privacy. Furthermore, it simplifies hardware configurations by using fewer components, which significantly reduces the size constraints often associated with wearable technology.
NeuroSense also facilitates complex functions like learning and automatically detecting new human activities, making it adaptable for more diverse applications including oxygen saturation measurement, stress monitoring, and sleep tracking. Its design focuses on providing a seamless integration path for manufacturers, ensuring a faster time-to-market with reduced development costs.
