Key result
A novel embedded QRS complex detection algorithm achieved average F1 scores ranging from 86.63% to 99.84% across four standard ECG databases with low processing times suitable for microcontrollers.
Why the study?
Wearable medical devices require robust, accurate, real-time, and computationally efficient QRS detection algorithms suited for low-resource microcontroller units.
A novel, computationally efficient QRS detection algorithm demonstrates high accuracy and fast processing times suitable for low-resource microcontrollers in wearable medical devices.
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May enable real-time QRS detection in wearables; leaves open prospective clinical validation.
Kouekeu et al. (2022) studied Cardiovascular diseases. Embedded QRS complex detection algorithm was evaluated on Average F1 score. A novel embedded QRS complex detection algorithm achieved average F1 scores ranging from 86.63% to 99.84% across four standard ECG databases with low processing times suitable for microcontrollers.
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