OMRON Connect compatible

M7 Intelli IT AFib

HEM-7380T1-EBK

Blood Pressure Monitors

5 years of warranty *

All you need for at home monitoring of your heart's health in one device. With a touch of a button, automatically screen for AFib every time you measure your blood pressure.

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.

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.