6533b82bfe1ef96bd128e386
RESEARCH PRODUCT
Adaptive quadratic regularization for baseline wandering removal in wearable ECG devices
Fabrizio ArgentiLuca FacherisLaura Giarresubject
Signal processingmedicine.diagnostic_testComputer scienceReal-time computingWearable computerRegularization (mathematics)030218 nuclear medicine & medical imagingPower (physics)03 medical and health sciences0302 clinical medicineQuadratic equationmedicineBaseline (configuration management)Electrocardiography030217 neurology & neurosurgerySimulationdescription
The electrocardiogram (ECG) is one of the most important physiological signals to monitor the health status of a patient. Technological advances allow the size and weight of ECG acquisition devices to be strongly reduced so that wearable systems are now available, even though the computational power and memory capacity is generally limited. An ECG signal is affected by several artifacts, among which the baseline wandering (BW), i.e., a slowly varying variation of its trend, represents a major disturbance. Several algorithms for BW removal have been proposed in the literature. In this paper, we propose new methods to face the problem that require low computational and memory resources and thus well comply with a wearable device implementation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-08-01 |