Key result
A novel QRS detection ASIC achieved a sensitivity of 95.65% and a positive prediction of 99.36% on the MIT/BIH arrhythmia database, with a 0.68 mm2 core area and 2.21 μW power consumption.
A newly designed QRS detection ASIC offers high accuracy with minimal power consumption and physical footprint, potentially advancing wearable ECG technology.
May advance low-power wearable ECG devices; leaves open clinical validation.
Healthcare issues arose from population aging. Meanwhile, electrocardiogram (ECG) is a powerful measurement tool. The first step of ECG is to detect QRS complexes. A state‐of‐the‐art QRS detection algorithm was modified and implemented to an application‐specific integrated circuit (ASIC). By the dedicated architecture design, the novel ASIC is proposed with 0.68 mm 2 core area and 2.21 μ W power consumption. It is the smallest QRS detection ASIC based on 0.18 μ m technology. In addition, the sensitivity is 95.65% and the positive prediction of the ASIC is 99.36% based on the MIT/BIH arrhythmia database certification.
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Huang et al. (2012) studied Arrhythmia. QRS detection ASIC was evaluated on Sensitivity and positive prediction for QRS detection. A novel QRS detection ASIC achieved a sensitivity of 95.65% and a positive prediction of 99.36% on the MIT/BIH arrhythmia database, with a 0.68 mm2 core area and 2.21 μW power consumption.
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