Cardiac Rhythm Analysis Feature
Last Update vor 6 Monaten
The Frontier X Cardiac Rhythm feature helps detect any heart rhythm deviations from Normal Sinus Rhythm (the typical rhythm of the heart). Beyond identifying the presence of other rhythms, it also helps you understand the duration, frequency and occasions when these rhythm changes occurred. Please note that Cardiac Rhythm does not capture all aspects of cardiac function. Furthermore, the Cardiac Rhythm markings are not sufficient to make any clinical assessment and are not intended to be used for diagnostic or treatment purposes.
The Cardiac Rhythm Feature uses Artificial Intelligence to classify every 20 second ECG strip into 3 categories:
|Class||Pie chart (Dashboard)||Session Flag (Activity)|
|Normal Rhythm||Blue||-No Flag-|
|Other Rhythm||Yellow||Flag marked 'O'|
|Noisy Signal / Not interpretable||Grey||-No Flag- and Grey background|
View Cardiac Rhythm on your Activity
Rhythm Flags will be found located on the Heart Rate Trendline marking the times at which there is a change detected in rhythm. This suggests that there may be a deviation in Cardiac Rhythm at any time during the 20s session.
Dashboard- Cardiac Rhythm Distribution
On the far right of the Dashboard, you will discover a new column described as RHYTHM.
This Pie chart denotes the proportion of time (Number of sessions) that you were in Normal Rhythm or Other Rhythm described above. This may help you determine if any rhythm deviations are becoming more or less frequent over time.
If you have a large sector of grey in your Pie chart, or large segments of greyed out backgrounds during your activities, you are likely experiencing poor signal quality and the cardiac rhythm feature will not work correctly. Here are some steps you can take to improve your signal quality so that you can get the most out of the Frontier X.
Please note that this feature is not intended to be interpreted as medical advice or to be used for diagnostic and treatment purposes.
If you have any questions or concerns regarding your data analysis, please reach out to our support team at email@example.com and we’ll be more than happy to help you.