A novel method for detecting R-peaks in electrocardiogram (ECG) signal

By M. Sabarimalai Manikandan, K. Soman. Biomedical Signal Processing and Control, 2012

399 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/2a6c9e3aa205dc3c6a25e33da9c886f002231397

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Arun Khosla
2. Indu Saini
3. Dilbag Singh

In Cardiology and Cardiovascular Medicine

1. M. Sabarimalai Manikandan
2. Arun Khosla
3. Indu Saini
4. Barathram Ramkumar
5. Udit Satija
6. Dilbag Singh

In Cognitive Neuroscience

1. Arun Khosla
2. Indu Saini
3. Dilbag Singh

Citations in the corpus

• QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases (2012, result): “The detection performance of our proposed algorithm in comparison to other published works tested on MIT-BIH Arrhythmia database is also given in Table 5 [11,12,6,13, 30,14,16,15,10,17,31,32].”
• Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring (2017, background): “Moreover, it is also difficult to perform more accurate and reliable measurement of morphological parameters, such as amplitude, duration, pause interval, timings, polarity, and shapes of the local waves that are most important for accurate heart rate monitoring, arrhythmia detection, and heartbeat ”