ArticleSensors (Basel, Switzerland)2019
Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A reproducible benchmark of QRS detection algorithms across diverse ECG datasets and noise conditions.Scientific reports · 2026Article
- HYDROSAFE: A Hybrid Deterministic-Probabilistic Model for Synthetic Appliance Profiles Generation.Sensors (Basel, Switzerland) · 2024Article
- Peak detection in intracranial pressure signal waveforms: a comparative study.Biomedical engineering online · 2024Article
- Cardiac sensing at a spinal cord stimulation lead: a promising on-device potential biomarker for pain and wellbeing.Frontiers in physiology · 2024Article
- Surrogate modelling of heartbeat events for improved J-peak detection in BCG using deep learning.Frontiers in network physiology · 2024Article
- Fast Parabolic Fitting: An R-Peak Detection Algorithm for Wearable ECG Devices.Sensors (Basel, Switzerland) · 2023Article
- Data Acquisition Filtering Focused on Optimizing Transmission in a LoRaWAN Network Applied to the WSN Forest Monitoring System.Sensors (Basel, Switzerland) · 2023Article
- [Research on the detection algorithm of electrocardiogram characteristic wave based on energy segmentation and stationary wavelet transform].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters. The approach is a two-pronged algorithm comprising (1) triangle template matching to accentuate the slope information of the R-peaks and (2) a single moving average filter to define a dynamic threshold for peak detection. The proposed algorithm was validated on eight ECG public databases. The obtained results not only presented good accuracy, but also low resource complexity, all of which show great potential for detection R-peaks in ECG signals collected from wearable devices.
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Registered trials
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