ECG R-wave peaks marking with simultaneously recorded continuous blood pressure

Abstract

Background and objectives ECG signal is relatively weak and vulnerable to various noise interferences, such as electromyography. There will be robustness problems when detecting the instantaneous heart rate independently. In some cases, multiple human physiologic parameters are monitored to help in heart rate detection. Methods In this paper, an algorithm that marks the R-wave peaks with the help of simultaneously recorded continuous blood pressure is proposed and tested on two databases. One database, called the challenge database, is provided by the PhysioNet/Computing in Cardiology Challenge 2014, and the other is the MGH/MF waveform database. Results The final scores of the proposed algorithm are 97.3% for the challenge database and 96.6% for the MGH/MF waveform database. Conclusions The experimental results show that this algorithm has high detection accuracy and a relatively strong robustness.

Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review

“…The use of ECG and BP signals has also been extensively studied due to their direct relationship with cardiac activity [58,59,60,61,62,63,64,65], from which other approaches that integrate up to 3 additional signals have also been presented: SV [66], EEG [67,68], and EOG [69,70] signals; EOG and EMG signals [71]; SV and EOG signals [72]; EEG, EOG, and EMG signals [73]; and SV, EEG, and PPG signals [74].…”

“…A summary of the signal preprocessing techniques is presented in Table 7. Low-pass filters [44,45,57,71,73,80] and band-pass filters [44,55,56,59,65,79,81] are widely used for ECG preprocessing. Different cutoff frequencies have been proposed for low-pass filtering, including 40 Hz for the ECG and BP signals [57,73]; 35 Hz for the ECG, BP, EOG, and EMG signals [71]; 20 Hz for the BCG signal [80]; and 16 Hz for the ECG and ABP signals [44,45].…”

“…Different cutoff frequencies have been proposed for low-pass filtering, including 40 Hz for the ECG and BP signals [57,73]; 35 Hz for the ECG, BP, EOG, and EMG signals [71]; 20 Hz for the BCG signal [80]; and 16 Hz for the ECG and ABP signals [44,45]. Regarding the band-pass filters, cutoff frequencies spread in the range 0.5–10 Hz for the ABP signal [44], and 0.5–80 Hz for the ECG signal [65]. In Reference [56], different cutoff frequencies are employed depending on the signal (5–40 Hz for ECG, 5–55 Hz for EEG, 10–25 Hz for EOG, and 5–15 for EMG).…”

“…From the signal recording perspective, baseline wander causes the signal to shift from its normal base. To address this, baseline wander suppression has been widely used: in Reference [65], a two-order smooth filter was applied to the ECG and BP signals. In Reference [44], 0.5–10 Hz band-pass filtering has been used for the ABP signals.…”

“…This noise occurs at 50/60 Hz frequencies. Notch filtering, aiming to remove this power line interference, has been employed in References [65,80].…”