Key result
A filter bank-based multirate digital signal processing algorithm achieved a beat detection sensitivity of 99.59% and a positive predictivity of 99.56% against the MIT/BIH database.
A novel filter bank-based ECG beat detection algorithm demonstrates high sensitivity and positive predictivity with minimal latency, suitable for real-time processing.
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May support real-time ECG monitoring; leaves open prospective clinical validation.
Afonso et al. (1999) studied ECG beat detection. Filter bank-based multirate digital signal processing algorithm vs. MIT/BIH database benchmark was evaluated on Beat detection sensitivity and positive predictivity. A filter bank-based multirate digital signal processing algorithm achieved a beat detection sensitivity of 99.59% and a positive predictivity of 99.56% against the MIT/BIH database.
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