X7 Smart AFib
5 years of warranty *
Advanced upper arm blood pressure monitor with AFib detection
The OMRON X7 Smart AFib automatically screens for possible atrial fibrillation with every blood pressure measurement, helping reduce stroke risk through early detection. With the 360° accurate Intelli Wrap Cuff, 2×100 reading memory, and Bluetooth syncing to OMRON Connect, it delivers clear, reliable insights for proactive heart health tracking.
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Possible AFib detection with every measurement
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Connected to OMRON Connect app
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Intelli Wrap cuff technology
Specifications
- Weight of Device (kg)
- Weight of Device (kg)
- 0.44
- Cuff Type
- Cuff Type
- Intelli Wrap Cuff 22–42 cm
- Cuff Wrap Guide
- Cuff Wrap Guide
- Yes
- Memory
- Memory
- 2 users x 100 readings plus guest mode
- Irregular Heartbeat Detection
- Irregular Heartbeat Detection
- Yes
- Body Movement Detection
- Body Movement Detection
- Yes
- Validation
- Validation
- Clinical Validation, Diabetic Validation, Pregnancy Validation
- AFib detection
- AFib detection
- Yes
- Easy High Blood Pressure Indicator
- Easy High Blood Pressure Indicator
- Yes
- Advanced Positioning Sensor
- Advanced Positioning Sensor
- Yes
- Intellisense
- Intellisense
- Yes
- Storage Case Included
- Storage Case Included
- Yes
- Averaging Function
- Averaging Function
- Yes
- Connected
- Connected
- Yes
- Compatible Mobile App
- Compatible Mobile App
- OMRON connect app
- Item Dimensions (mm)
- 191 x 85 x 117
What's in the box?
1 x OMRON X7 Smart AFib blood pressure monitor, 22-42 cm Intelli Wrap arm cuff, 4 x AA batteries, instruction manual, storage case.
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.