Movano Health, a healthcare technology company based in Pleasanton, California, has recently made significant advancements in enhancing the accuracy of heart rate measurements in motion through the implementation of deep learning technology. This development is crucial for a wide range of healthcare applications and addresses a key need in the clinical enterprise.
The company conducted an engineering accuracy study led by Movano Health Founder and CTO Michael Leabman, which showcased the effectiveness of deep learning integration into heart rate algorithms for improved accuracy. According to Leabman, deep learning is a superior solution compared to standard techniques as it effectively eliminates motion effects and noise in the optical signal, resulting in more precise and consistent heart rate measurements for users.
The study involved 65 subjects participating in various activities such as sleeping, resting, walking, running, and swimming, among others. Data was collected using the Evie Ring, with results showing a strong correlation with outputs from a Polar H7 chest strap, which was used as a control device. This confirms the reliability of Evie’s heart rate algorithm across different activities.
To address the challenges of measuring heart rate from PPG signals in wearables, Evie’s solution combines advanced signal processing techniques with AI-based Deep Learning. By filtering out motion artifacts, leveraging accelerometer data, and enhancing signal-to-noise ratio through Deep Learning, Movano Health aims to provide users with accurate and reliable health monitoring data.
Moving forward, the company plans to apply the same deep learning process to all Evie Ring algorithms, including sleep monitoring, respiration tracking, heart rate variability, and blood oxygen saturation measurements. This will further enhance the capabilities of wearable health monitors and deliver valuable insights to both consumers and healthcare enterprises.
Founded in 2018, Movano Health is dedicated to developing innovative healthcare solutions that leverage wearable technology to provide medical-grade data to users. By capturing comprehensive health data and translating it into personalized insights, Movano Health aims to empower individuals to proactively monitor and manage their health outcomes.
For more information on Movano Health and its cutting-edge technologies, visit their website at https://movanohealth.com/.
In conclusion, Movano Health’s integration of deep learning technology into heart rate algorithms represents a significant step forward in improving the accuracy and reliability of wearable health monitors. With a focus on innovation and precision, the company is poised to revolutionize the way individuals track and manage their health.
