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Risk Stratification
The Risk
stratification subsystem consists of the embedded software which
continuously (in real-time) calculates sixteen dominant cardiac parameters and
indices, analyzing their changes over time, determines the existence of current
cardiac events, adapts the ranges of abnormal situations based upon patient
history, and provides an warning/alert response, if significant cardiac events
and/or abnormalities are detected. The system analyzes cumulative effects of
detected cardiac events and abnormalities and predicts a possible occurrence of
life threatening cardiac events.
Each of the sixteen
parameters and indices are well known to cardiologists and well
recognized as a valuable tool for Heart Health evaluation and
risk stratification:
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1. |
Heart Rate Max |
9. |
T-wave Inversion |
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2. |
Heart Rate Min |
10. |
Increase of Q-wave |
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3. |
Alteration of Heart Rate |
11. |
Q/T ratio |
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4. |
RR Interval |
12. |
Decrease of R-wave |
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5. |
Premature Beats Repeated (PB) |
13. |
Increase of QT (ms) |
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6. |
Group of Consecutive PB |
14. |
Increase of QT (%) |
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7. |
Fibrillation / Flutter |
15. |
Increase of QRS |
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8. |
ST – segment deviations |
16. |
Increase of PQ |
The Risk
Stratification subsystem provides three level of risk
assessment:
a.
Instantaneous measurements and
comparison of the results with patient’s predefined threshold
values;
b.
Analysis of subsets of relevant
parameters (e.g. ST, Heart rate and T-wave) to define the
compound risk, when each of subset’s parameter is still in a
safe zone, but combined put the patient in the high risk zone;
c.
Prediction of significant cardiac
events based on beat-to-beat real-time analysis of cardiac
parameters.
“Normal” threshold
values are predefined for each individual patient. For example,
“Normal” value of ST segment for a patient without history of
heart disease is not “Normal” for a patient with myocardial
ischemia or history of myocardial infarction.
Collected and
stored data can be used for building a Risk Classification
System for management of patients with low, moderate and high
risk of significant or life threatening cardiac events.
The instantaneous
values, interrelationship, and rate of change of the values are
computed in real time. From these results the Monebo engine
“knows” the instantaneous cardiac conditions of the patient.
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