Wearable Devices announces expansion of LMM into new potential markets

Wearable Devices (WLDS) announced the expansion of its Large Motor Unit Action Potential Model into new potential markets, such as predictive health monitoring and cognitive state analytics. This development will enable the broadening of bio-signal intelligence applications beyond wearables and will offer businesses and healthcare providers access to real-time physiological insights for monitoring health and wellness conditions. Unlike traditional bio-sensors that collect data passively, LMM continuously learns and adapts, turning muscle activity signals from the wrist into actionable insights. The technology is now being evaluated in controlled environments for real-world applications, including: Predictive Health Monitoring – Detecting hidden patterns in muscle activity that may indicate early signs of health conditions before symptoms appear, revolutionizing preventive diagnostics and digital health tracking. Cognitive State & Performance Analytics – Monitoring focus, fatigue, and stress levels through muscle tone and micro-movements, optimizing work productivity and mental well-being. Exploring Predictive Analytics – Assessing whether continuous monitoring of neural data can improve AI-driven user behavior predictions.