A 0. 83- W QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0. 35- m CMOS

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Population

Recordings from the MIT-BIH arrhythmia database

Design

Other

Authors

Discussion

Supports low-power wearable ECG monitoring development; leaves open prospective clinical validation before practice adoption.

Population

Recordings from the MIT-BIH arrhythmia database

Intervention

0.83-μW QRS detection processor using quadratic spline wavelet transform in 0.35-μm CMOS

Outcome

Sensitivity and predictivity of QRS detection, and system power consumptionsurrogate

The proposed ultra-low-power QRS detection processor enables highly accurate, power-efficient wireless ECG monitoring for arrhythmia detection.

Ieong et al. (2012) studied this question.

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