Science – Future of Lithuania / Mokslas – Lietuvos Ateitis, Vol 7, No 3 (2015)

Heart Beat Detection in Noisy ECG Signals Using Statistical Analysis of the Automatically Detected Annotations

Andrius Gudiškis (Vilnius Gediminas Technical University, Lithuania)


This paper proposes an algorithm to reduce the noise distortion influence in heartbeat annotation detection in electrocardiogram (ECG) signals. Boundary estimation module is based on energy detector. Heartbeat detection is usually performed by QRS detectors that are able to find QRS regions in a ECG signal that are a direct representation of a heartbeat. However, QRS performs as intended only in cases where ECG signals have high signal to noise ratio, when there are more noticeable signal distortion detectors accuracy decreases. Proposed algorithm uses additional data, taken from arterial blood pressure signal which was recorded in parallel to ECG signal, and uses it to support the QRS detection process in distorted signal areas. Proposed algorithm performs as well as classical QRS detectors in cases where signal to noise ratio is high, compared to the heartbeat annotations provided by experts. In signals with considerably lower signal to noise ratio proposed algorithm improved the detection accuracy to up to 6%.

Article in: Lithuanian

Article published: 2015-07-13

Keyword(s): electrocardiogram; arterial blood pressure; QRS complex; heartbeat; heart rate.

DOI: 10.3846/mla.2015.787

Full Text: PDF pdf

Science – Future of Lithuania / Mokslas – Lietuvos Ateitis ISSN 2029-2341, eISSN 2029-2252
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 License.