LogicMark Inc. (NASDAQ: LGMK) has launched predictive Activity Metrics within its Freedom Alert Max personal emergency response device, marking a shift from reactive emergency response to proactive health monitoring. The new feature uses AI analytics to continuously track users' daily steps and active time, providing caregivers with real-time insights into movement patterns. This evolution addresses a critical gap in traditional medical alert systems, which typically activate only after an incident occurs.
"We're transforming medical alert technology by shifting from waiting for an emergency to happen to proactive health monitoring, recognizing changes in activity to prevent an emergency before it progresses into an emergent situation," said Chia-Lin Simmons, CEO of LogicMark.
Activity Metrics leverages AI and pattern analysis to establish a personalized baseline of a user's daily activity. It monitors deviations such as altered movement levels or longer rest periods that may signal health or behavioral changes. Data on daily movements and a seven-day activity history are accessible through LogicMark's Care Village app. The Freedom Alert Max device collects motion and activity data via built-in sensors and fall detection systems. The algorithm analyzes this data over time, learning normal routines and identifying anomalies. When unusual declines or spikes in activity are detected, alerts are sent to caregivers.
"We're transforming medical alert technology by shifting from waiting for an emergency to happen to proactive health monitoring, recognizing changes in activity to prevent and emergency before it progresses into an emergent situation," said Simmons.
The predictive capability aims to empower caregivers and family members to intervene earlier, before a crisis occurs. LogicMark says this represents a significant step toward preventive care technology, allowing caregivers to see early indicators of mobility decline or fatigue. This helps reduce the risk of emergency events, hospitalizations and caregiver burnout while maintaining user independence.
For example, if an older adult's daily movement slowly decreases over several weeks, Activity Metrics detects the trend and alerts caregivers to check for potential pain, weakness or health issues before a fall occurs. Similarly, if a user spends significantly more time inactive or resting during the day, the system flags possible fatigue, medication side effects or early illness. The feature can also detect sudden nighttime wandering or shifts in normal patterns, which may indicate cognitive decline.
Activity Metrics builds on LogicMark's recently launched Medication Reminders feature for the Freedom Alert Max. That capability enables caregivers to send medication reminders directly to the device, eliminating the need for multiple apps. Data from both features is used to establish a comprehensive wellness profile via LogicMark's patent-pending Care Village Digital Twin technology, which creates a virtual mirror of users to predict future outcomes.
"Activity Metrics combined with features like our recently launched Medication Reminders, represent our commitment to proactive and preventative senior safety. Now, we can identify potential health issues and fall risks early, giving families and healthcare providers the insights they need to intervene before a crisis occurs," said Simmons.
These features are part of the first phase of LogicMark's Predictive Care Village, an interconnected network designed to anticipate care needs for older adults. The company's wearable safety devices enable two-way calling and fall detection monitoring, with the AI-driven platform aiming to help patients and caregivers manage care at home and on the go. For more information, visit LogicMark's website.
