Author
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4 papers
Recent·Most cited
The paper analyzes motion artifact records from the MIT-BIH NSTDB to detect a persistent regular rhythm using autocorrelation and a pattern-based method, finding consistent RR intervals around 1000-1050 ms.
This paper applies the TEPS method to detect fetal QRS in noisy ECGs using the NInFEA dataset, achieving high accuracy in tracking RR intervals compared to ultrasound data.
This paper introduces a method to cancel motion artifacts in waist-based ECGs by removing ECG peaks correlated with accelerometer peaks, achieving high accuracy in heart rate tracking during outdoor walking and jogging.
This paper introduces TEPS, a multi-channel ECG QRS detector that improves sensitivity and reduces false discoveries compared to single-channel methods.