Would be amazing to have. +1 for blood pressure with AI as for sure it’ll affect the rest/ exercise routine

The integration of blood pressure data into Bevel significantly increases the clinical context of the existing measurements and improves the significance of the analyses.

Why that makes sense:

• Correlation instead of individual values

Blood pressure supplements pulse, HRV, sleep, activity and stress to form a coherent cardiovascular picture. Only this combination allows reliable pattern recognition (e.g. stress versus stress response).

• Early identification of trends

Changes in blood pressure can be classified temporally and causally with sleep deficit, training load or increased stress levels — long before limits are permanently exceeded.

• Context for abnormalities

Without blood pressure, an increased resting heart rate or reduced HRV requires little interpretation. Blood pressure makes it clearer whether it is an overload, infection, stress or a cardiovascular issue.

• Added value for a doctor's consultation

Instead of selective practical values, history-based data is available. This improves:

• Call quality

• Basis for decision-making

• Adherence to therapy

• Reduction of “white coat effects”

Regular everyday measurements put individual measurements in practice into perspective and provide a more realistic basis for decision-making.

Bottom line:

Blood pressure data turns isolated health metrics into an interpretable system. Orientation is created for users, and for doctors, a structured conversation anchor — without diagnostic anticipation, but with clear decision support.