Limits...
A novel low-complexity digital filter design for wearable ECG devices

View Article: PubMed Central - PubMed

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.

No MeSH data available.


The optimally factored-cascade IFIR implementation of H(z).
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC5383230&req=5

pone.0175139.g021: The optimally factored-cascade IFIR implementation of H(z).

Mentions: Base on this realization, the filter H(z) has an effective order of 614, consisting of 24 shift-adds and 54 structural adders. Notice that the first stage of V(z) in Fig 20 has an order of 21, and hence can provide us with 21 of the total 22 registers that we need to realize the z–22 delay line in Eq (4), as shown in Fig 21. The first stage of G(z20) in Fig 19 has an order of 160, and hence can also provide us with 160 of the total 285 registers that we need to realize the z–285 delay line.


A novel low-complexity digital filter design for wearable ECG devices
The optimally factored-cascade IFIR implementation of H(z).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5383230&req=5

pone.0175139.g021: The optimally factored-cascade IFIR implementation of H(z).
Mentions: Base on this realization, the filter H(z) has an effective order of 614, consisting of 24 shift-adds and 54 structural adders. Notice that the first stage of V(z) in Fig 20 has an order of 21, and hence can provide us with 21 of the total 22 registers that we need to realize the z–22 delay line in Eq (4), as shown in Fig 21. The first stage of G(z20) in Fig 19 has an order of 160, and hence can also provide us with 160 of the total 285 registers that we need to realize the z–285 delay line.

View Article: PubMed Central - PubMed

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.

No MeSH data available.