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Life Sciences & Healthcare Predictive Models Machine Learning

AI-powered wearable for smart healthcare

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“Integrating AI directly into our wearable devices has allowed us to unlock continuous blood pressure estimation with no discomfort for the patient. It's a major step forward in preventive monitoring, and something we couldn’t have achieved without Artificialy’s expertise in AI and signal interpretation.”

Challenge

Accurately estimating blood pressure from non-invasive signals, such as pulse readings from a wearable device, is a highly complex task. For a leading provider of medical measurement and control tools, this challenge was crucial for improving preventive maintenance and enabling continuous patient monitoring without relying on bulky or intrusive equipment. That's why we decided to channel our expertise in AI for healthcare and medical applications.

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The new era of health monitoring relies on continuous data collection and smart interpretation. AI for healthcare is enabling intuitive tools that simplify how we track health over time, supporting more proactive and personalized care.

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Our AI Solution

We developed a custom AI algorithm capable of predicting blood pressure values directly from the pulse signal detected by a wearable bracelet. The solution was designed to be:

  • Lightweight and low-latency, suitable for real-time inference on embedded hardware

  • Trained on real patient data, ensuring clinical relevance and accuracy

  • Robust to signal noise and variability, typical in wearable medical devices

This AI module enables predictive life maintenance, allowing early detection of health deterioration and improving clinical response time.

Results

Our work in AI for medical applications is already delivering measurable results:

  • 85%+ accuracy pressure prediction from simple, wearable pulse readings

  • Elimination of the need for traditional cuff-based measurement in continuous monitoring scenarios

  • Early anomaly detection, supporting more effective preventive care strategies

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