Key result
The proposed 3-lead ECG-on-chip achieved an average compression ratio of 2.15 times, with a QRS detection sensitivity of 99.58% and positive productivity of 99.57% at 256 Hz.
A novel low-power ECG-on-chip design demonstrates high QRS detection accuracy and efficient data compression, enabling extended battery life for wearable ECG sensors.
May support longer wearable ECG monitoring; leaves open prospective clinical validation before adoption.
This brief presents the design of a low-power 3-lead electrocardiogram (ECG)-on-chip with integrated real-time QRS detection and lossless data compression for wearable wireless ECG sensors. Data compression and QRS detection can reduce the sensor power by up to 2-5 times. A joint QRS detection and lossless data compression circuit allows computational resources to be shared among multiple functions, thus lowering the overall system power. The proposed technique achieves an average compression ratio of 2.15 times on standard test data. The QRS detector achieves a sensitivity (Se) of 99.58% and positive productivity (+P) of 99.57% @ 256 Hz when tested with the MIT/BIH database. Implemented in 0.35 μm process, the circuit consumes 0.96 μW @ 2.4 V with a core area of 1.56 mm 2 for two-channel ECG compression and QRS detection. Small size and ultralow-power consumption makes the chip suitable for usage in wearable/ambulatory ECG sensors.
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John et al. (2016) studied this question. 3-lead ECG-on-chip with integrated real-time QRS detection and lossless data compression was evaluated on QRS detection sensitivity, positive productivity, and compression ratio. The proposed 3-lead ECG-on-chip achieved an average compression ratio of 2.15 times, with a QRS detection sensitivity of 99.58% and positive productivity of 99.57% at 256 Hz.
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