Key result
A novel real-time noise detection algorithm using periodicity signatures identified ambient and internal body noises in heart sound recordings with 95.88% sensitivity and 97.56% specificity.
Why the study?
Does a periodicity-based algorithm accurately detect noise in heart sound recordings in patients with heart disease?
Does a periodicity-based algorithm accurately detect noise in heart sound recordings in patients with heart disease?
A novel algorithm based on periodicity signatures can detect ambient and physiological noise in heart sound recordings with high sensitivity and specificity.
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May aid real-time phonocardiography; leaves open prospective validation of diagnostic impact.
Kumar et al. (2011) studied Heart disease (n=71). Noise detection algorithm using periodicity signatures was evaluated on Average sensitivity and specificity for noise detection. A novel real-time noise detection algorithm using periodicity signatures identified ambient and internal body noises in heart sound recordings with 95.88% sensitivity and 97.56% specificity.
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