Screen for AFib Early — From the Comfort of Home
With OMRON’s Intellisense™ AFib and home ECG recording, you can screen for the possibility of atrial fibrillation (AFib) and track your heart rhythm easily at home. This helps reduce the risk of stroke and heart failure, and supports better-informed conversations with your healthcare provider.
Impact of Atrial Fibrillation
Atrial fibrillation is an irregular heart rhythm that can lead to a stroke and often goes unnoticed initially. The prevalence of AFib will rise to 15.9 million in 2050 in America and 17.9 million in 2060 in Europe.
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1 in 4
people with AFib are initially asymptomatic
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59M
the global presence of AFib in 2019
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1 in 4
people above 40 develop AFib in their lifetime
Technology Designed to Support Preventive Care
Intellisense AFib technology enables users to screen for the AFib with every blood pressure check at home. A home ECG device make early detection possible during routine daily measurements.
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Two-in-one: blood pressure + AFib screening in one step
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Clinically validated accuracy
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Shareable reports with healthcare providers
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Secure data storage with OMRON Connect
Backed by Decades of Expertise
Intellisense AFib is built on 50 years of accumulated pressure pulse wave data and combines OMRON’s deep blood pressure monitoring expertise with advanced AI technology to create a compact, highly reliable algorithm. Leveraging in-house ECG analysis capabilities, we identified the specific patterns and indicators needed for effective AFib screening. The technology is clinically validated, delivering 95% sensitivity, 98% specificity, and 97% overall accuracy.
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References
Lei N, et al. Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention. Int J Environ Res Public Health. 2021 Jan 19;18(2):813.
Verdecchia, P., et al. (2018). Hypertension and Atrial Fibrillation: Doubts and Certainties From Basic and Clinical Studies. Circulation research, [online] 122(2), pp.352–368. doi:https://doi.org/10.1161/CIRCRESAHA.117.311402.
Diagnostic Accuracy for Detecting Atrial Fibrillation Using a Novel Machine Learning Algorithm in a Blood Pressure Monitor, Heart Rhythm published online
29 April 2024. DOI: https://doi.org/10.1016/j.hrthm.2024.04.086