News & Insights

Researchers developed an FPAA-based wearable system for hemodynamic monitoring that processes bioimpedance signals directly in analog hardware. The design enables real-time cardiovascular feature extraction at nanowatt-level power consumption for long-term wearable use.

Researchers from San Diego State University and Georgia Tech developed an FPAA-based wearable knee monitoring system that performs motion detection and classification in analog hardware. The design enables continuous knee tracking for rehabilitation at microwatt-level power consumption.

FPAA technology enables real-time vestibular prosthesis signal processing by moving motion sensing and neural stimulation into the analog domain. This reduces digital overhead and lowers power consumption while maintaining precise stimulation control. The result is a reconfigurable, low-power approach to implantable balance restoration systems.

FPAA technology enables real-time heart monitoring in wearable systems by shifting signal processing into the analog domain, removing the need for power-intensive digital pipelines. Cardiac features are extracted continuously at microwatt to nanowatt power levels, supporting always-on operation. This approach points toward wearable physiological monitoring with dramatically reduced energy consumption.

Explore a hands-on experiment using the Okika FPAA Quad4 to unlock cleaner EKG signals and precise Wheatstone measurements through reconfigurable analog design.