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Updated: Jan 23, 2026
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
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Quick QRS Complex Detection for On-Line ECG and Holter Systems
Laszlo Szilagyi1, Sandor Szilagyi, Attila Frigy
1Department of Control Engineering and Information Technology, Budapest University of Technology and Economics, Magyar tudósok krt. 2, 1117 Budapest, Hungary (phone: + 361-463- 4027; fax: + 361-463-2204; e-mail: lazacika@yahoo. com).
Summary
A novel algorithm accurately detects the QRS complex in electrocardiogram (ECG) signals using wavelet filtering and peak classification. This method achieves 99.5% detection accuracy and is suitable for portable Holter devices.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Cardiology
Background:
- Accurate QRS complex detection is crucial for real-time electrocardiogram (ECG) analysis in various medical applications.
- Existing algorithms may face challenges in noisy environments or require significant computational resources.
Purpose of the Study:
- To develop and validate a novel, efficient QRS complex detection algorithm for online ECG processing.
- To assess the algorithm's performance using a standard ECG database and its feasibility for portable monitoring devices.
Main Methods:
- The algorithm employs a two-step process: wavelet transform filtering for noise reduction and a maximum detection/peak classification approach for QRS localization.
- Performance was evaluated using the MIT-BIH arrhythmia database.
Main Results:
- The algorithm achieved an average QRS detection accuracy of 99.5% on the MIT-BIH database.
- The algorithm was successfully implemented on a microcontroller for a portable Holter device, demonstrating its practical applicability.
Conclusions:
- The proposed QRS detection algorithm offers high accuracy and efficiency for online ECG analysis.
- Its successful implementation in a portable Holter device highlights its potential for widespread clinical use in ambulatory cardiac monitoring.
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