Technology solutions that monitor, assess, and interpret

the electrical signals of the heart

TechnologyOur CompanyApplicationsNewsHome

 

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:

1.

Heart Rate Max

  9.

T-wave Inversion

2.

Heart Rate Min

10.

Increase of Q-wave

3.

Alteration of Heart Rate

11.

Q/T ratio

4.

RR Interval

12.

Decrease of R-wave

5.

Premature Beats Repeated (PB)

13.

Increase of QT (ms)

6.

Group of Consecutive PB

14.

Increase of QT (%)

7.

Fibrillation / Flutter

15.

Increase of QRS

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.

 

 

Trademark and Copyright 2004 All rights reserved Monebo Technologies, Inc.