Abstract

Wearable and implantable Electrocardiograph (ECG) devices are becoming prevailing tools for continuous real-time personal health monitoring. The ECG signal can be contaminated by various types of noise and artifacts (e.g., powerline interference, baseline wandering) that must be removed or suppressed for accurate ECG signal processing. Limited device size, power consumption and cost are critical issues that need to be carefully considered when designing any portable health monitoring device, including a battery-powered ECG device. This work presents a novel low-complexity noise suppression reconfigurable finite impulse response (FIR) filter structure for wearable ECG and heart monitoring devices. The design relies on a recently introduced optimally-factored FIR filter method. The new filter structure and several of its useful features are presented in detail. We also studied the hardware complexity of the proposed structure and compared it with the state-of-the-art. The results showed that the new ECG filter has a lower hardware complexity relative to the state-of-the-art ECG filters.

Highlights

  • Cardiovascular disease is the leading cause of death worldwide, accounting for 30% of global mortalities [1]

  • We evaluated the performance of the proposed filter design when the input is field-collected ECG signals contaminated with high levels of direct current (DC) noise along with 50-Hz and/or 100-Hz powerline sinusoidal noises

  • Our analysis revealed that the optimum value of the stretch factor L for the interpolated FIR (IFIR) implementation of UPartial(z) is 20

Read more

Summary

Introduction

Cardiovascular disease is the leading cause of death worldwide, accounting for 30% of global mortalities [1]. In 2010, the estimated total cost of cardiovascular disease in the United States alone was $444 billion [2]. Continuous monitoring of the heart and its functionality enhances the early diagnosis, intervention, or prevention of cardiovascular diseases [4]. Recent advances in wireless communications and integrated circuits can considerably improve the healthcare management and cost [5]. Utilizing smart wearable electrocardiogram (ECG) devices can significantly enhance healthcare of the patients with cardiovascular diseases. Much effort has been put into the development of such devices over the past few years, integration of these technologies into the clinical practice still remains limited, mainly due to reliability and practicality issues [5]

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call