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License: Creative Commons Zero v1.0 Universal
An inexpensive time-series analysis of ECG for early MI detection.
License: Creative Commons Zero v1.0 Universal
The Receiver Operating Characteristics (ROC) for various values of the threshold value h (Which is set in miDetection.m function and used in the CUSUM.m function) can be obtained by plotting the False Alarm Rate (False Positive Rate) against the Detection Rate (True Positive Rate) for ECG recordings of multiple patients:
Detection Rate = TP / (TP + FN)
False Alarm Rate = FP / (FP + TN)
The challenge here will be to determine the True Positive, and False Positive regions. This will also need to be reviewed by a professional cardiologist.
For k=1, the nc and alarms vectors in CUSUM.m should be identical. This is not however the case. The problem, most probably, lies with the following code in CUSUM.m:
if n > window
if sum(nc(n-window:n)) >= k
alarms(find(nc(n-window:n), 1, 'first') + n - window - 1) = 1;
end
end
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