Why the study?
Does a multistage classification approach using dynamic HRV indices accurately detect and quantify congestive heart failure compared to classical methods?
Population
116 nominal 24-hour RR interval records from the MIT/BIH database, including 72 normal people and 44…
Comparison
Multistage classification approach using dynamic… vs Classical support vector machine and static HRV…
Design
Other
Authors
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A novel multistage classification model using dynamic HRV indices achieved 96.61% accuracy in detecting and quantifying the severity of congestive heart failure.
Does a multistage classification approach using dynamic HRV indices accurately detect and quantify congestive heart failure compared to classical methods?
A novel multistage classification model using dynamic HRV indices achieved 96.61% accuracy in detecting and quantifying the severity of congestive heart failure.
Chen et al. (2016) studied this question.
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