OMRON Connect compatible

M7 Intelli IT AFib

HEM-7380T1-EBK

Blood Pressure Monitors

5 years of warranty

AFib detection in 1 single measurement

Device Type
Upper Arm Blood Pressure Monitor
Weight of Device (kg)
0.44
Cuff Type
Intelli Wrap Cuff 22–42 cm
Cuff Wrap Guide
Yes
Memory management
2 users x 100 readings plus guest mode
Irregular Heartbeat Detection
Yes
Body Movement Detection
Yes
Validation
Clinical Validation, Diabetic Validation, Pregnancy Validation
AFib detection
Yes
Easy High Blood Pressure Indicator
Yes
Advanced Positioning Sensor
Yes
Intellisense
Yes
Storage Case Included
Yes
Averaging Function
Yes
Connected
Yes
Compatible Mobile App
OMRON connect app
Item Dimensions (mm)
191 x 85 x 117

Early detection is key in stroke prevention

How to Use

Clinically validated for accuracy, our revolutionary Intellisense AFib technology turns your routine blood pressure checks at home into a powerful defense against stroke. The Intelli Wrap Cuff ensures accurate results, no matter how it is worn. It is easy to use, providing a sure fit with a pre-shaped design that works in any position around the upper arm.

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Intellisense AFib

Intellisense AFib is OMRON's proprietary technology that calculates blood pressure values and detects AFib using the pulse pressure wave (PPW) from the blood preassure measurement. A PPW is a waveform that represents arterial pressure changes.

Pulse Pressure Wave

Air is fed into a cuff wrapped around the upper arm and, as every heartbeat sends blood through the arteries, the sensor captures the pressure pulses applied to the air in the cuff. There are significant differences in the PPW waveforms of normal and AFib patients. Intellisense AFib captures these differences to detect the possibility of AFib.

AI-powered algorithm

Intellisense AFib technology employs machine learning techniques using a unique AI-powered algorithm developed through the analysis of thousands of ECG readings and pulse pressure wave clinical data points, validated in collaboration with medical professionals, ensuring its precision and reliability with a sensitivity of 95% and specificity of 98%.

Maximize the benefits of regular monitoring

Early detection, better outcomes

Spotting AFib signs early from home can prevent more serious complications with timely and effective interventions.

Know when to seek help

Home monitoring delivers a more comprehensive overview of your heart health, reducing the stress of uncertainty.

Dual function

With a touch of a button, automatically screen for AFib every time you measure your blood pressure.

No extra step needed

Eliminate the need for multiple health gadgets enabling a single-step at-home screening.

External References:

Moody GB, Mark RG. The impact of the MIT-BIH Arrhythmia Database. IEEE Eng in Med and Biol 20(3):45-50 (May-June 2001). (PMID: 11446209) Contains information from “MIT-BIH Arrhythmia Database” which is made available under the ODC Attribution License. doi:10.13026/C2F305

Moody GB, Mark RG. A new method for detecting atrial fibrillation using R-R intervals. Computers in Cardiology. 10:227-230 (1983). Contains information from “MIT-BIH Atrial Fibrillation Database” which is made available under the ODC Attribution License. doi:10.13026/C2MW2D

Clifford GD, Liu C, Moody B, Li-wei HL, Silva I, Li Q, Johnson AE, Mark RG. AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017. In 2017 Computing in Cardiology (CinC) 2017 Sep 24 (pp. 1-4). IEEE. doi:10.22489/CinC.2017.065-469 Contains information from “AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017” which is made available under the ODC Attribution License. https://physionet.org/content/challenge-2017/1.0.0/training/#files-panel https://opendatacommons.org/licenses/by/1-0/

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

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