Medical Sensing
Low-Power Edge Intelligence
From wearable physiological monitoring to home care devices, ANIX brings ultra-low-power edge AI inference to next-generation medical sensing endpoints — delivering stable, reliable real-time analysis under limited battery capacity and strict regulatory requirements.
Wearable Physiological Monitoring
Wearable heart-rate, SpO2, and ECG/PPG devices must be worn against the skin for extended periods, placing strict limits on both power consumption and form factor.
ANIX performs physiological signal analysis directly on-device in real time, sustaining always-on sensing within a milliwatt-level power budget — balancing wearing comfort with battery life.
Implantable & On-Body Medical Devices
Implantable and long-term on-body medical devices are extremely power-sensitive — battery replacement often means surgical risk and added care costs.
ANIX's analog compute-in-memory architecture lets devices keep running on a smaller energy budget, extending device lifetime and reducing maintenance burden.
Remote Care & Home Health Monitoring
Home care devices must operate independently for extended periods, and must accurately detect abnormal conditions without an attendant present.
ANIX provides real-time inference at the edge, letting devices complete initial interpretation locally — speeding up detection and reporting of abnormal events.
A Low-Power Architecture Built for Long-Term Reliable Operation
The core challenge for medical sensing devices is sustaining stable, long-term operation under limited power and strict regulatory requirements. ANIX optimizes energy efficiency at the architecture level, giving medical sensing endpoints a technical foundation that balances battery life with real-time responsiveness.
Explore More of What ANIX Can Do
Extend from medical sensing into industrial and consumer scenarios, or dive deeper into the core architecture design.