ECG Analysis Settings
Program Managers can utilize the Analysis Setting feature to fine-tune how the ECG Analysis algorithm detects specific events. For instance, the default Bradycardia Threshold is set to 45 beats per minute with a minimum duration of 10,000 seconds. However, if you are monitoring young athletes who naturally have very low resting heart rates, consider adjusting this threshold to better reflect their physiological norms.
Vivalink is available to assist with the initial configuration of these settings, ensuring they are tailored to the specific needs of your study or patient population.
Beat Detection
The noise sensitivity setting can be adjusted to fine-tune how the ECG Analysis detects QRS complexes, which correspond to heartbeats. Ambulatory ECG recordings, such as those captured with the ECG Patch, can be prone to significant noise due to the individual's movement and activity level or any impact on the chest area.
- High Sensitivity: A higher noise sensitivity setting will filter out more noise and improve the accuracy of QRS complex detection by distinguishing genuine heartbeats from artifact peaks.
For this study, the recommended setting is “High,” which has been selected as the default to ensure reliable beat detection even in noisy conditions.
ST Analysis Settings
The ST Analysis Settings allow for the adjustment of parameters that control how ST elevation or depression is detected. However, due to the single-lead configuration of the ECG Patch used in this deployment, it is not recommended that ST Analysis settings be enabled or adjusted. The complexity and variability introduced by the single-lead setup could lead to inaccurate or misleading results.
Therefore, it is advised that the ST Analysis feature be disabled for this deployment.
Rhythm Analysis
As described in the table below, certain values can be adjusted for arrhythmia detection.
| Parameters | Description | Formatting Requirement |
|---|---|---|
| Bradycardia Duration | Minimum length in milliseconds of a “Bradycardia” event. |
Admitted values between 1000 and 50000. Default: 10000 |
| Bradycardia Threshold |
The upper heart-rate threshold in bpm to annotate the rhythm as “Bradycardia”. |
Admitted values from 1 to 90. Default: 45 |
| Pause Threshold | Pause threshold in milliseconds. |
Admitted values are between 1000 and 20000. Default: 2500 |
| Premature Index | Prematurity index in percentage. |
Admitted values between 10 and 90. Default: 75 |
| Average RR Window Length | The number of beats that must be used to compute the Average RR |
Admitted values are 4, 8, 12 and 16 Default: 8 |
| Prolonged RR Interval Threshold | Prolonged RR threshold in percentage. |
Admitted values between 10 and 1000. Default: 200 |
| Supraventricular Tachy Threshold | The minimum heart-rate threshold in bpm to annotate the rhythm as “Supraventricular Tachycardia.” |
Admitted values from 1 to 500. Default: 150 |
| Tachy Duration |
Minimum length of data in milliseconds to annotate the rhythm as “Tachycardia.” Valid for both Tachycardia types: supraventricular and ventricular. |
Admitted values between 1000 and 50000. Default: 5000 |
| Ventricular Tachy Threshold |
The minimum heart-rate threshold in bpm to annotate the rhythm as “Ventricular Tachycardia.” |
Admitted values from 1 to 500. Default: 150 |
| Afib Duration | The minimum length of atrial fibrillation events is in seconds. Detected events shorter than the threshold can be ignored. |
Admitted values from 0 to 3600 (1 hour). Default: 0 |
Advanced Signal Processing – Noise Suppression
The Noise Suppression settings are designed to minimize noise and artifacts that can distort the ECG waveform, potentially affecting the detection of ectopic or arrhythmic events. By enabling noise suppression, you can reduce the impact of unwanted noise on the ECG signal, ensuring more accurate event detection.
- Configurable Levels: You can adjust the level of noise suppression for specific events, tailoring the settings to your deployment needs.
- Vivalink Support: Vivalink can assist you in configuring these settings to optimize the performance of the ECG Analysis for your deployment.