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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.


Choice of Delay parameter in the optimally factored-cascade IFIR implementation of H(z).
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pone.0175139.g014: Choice of Delay parameter in the optimally factored-cascade IFIR implementation of H(z).

Mentions: Notice that, even in the absence of such a memory unit, the proposed optimally factored-cascade IFIR structure in Fig 11 accommodates a practical choice for the Delay parameter, without requiring any extra register. This is illustrated in Fig 14 where the choice of Delay = 160 is compared with the ideal Delay = 284. Clearly, this Delay choice provides reasonable trade-offs while supporting the same level of attenuation at the stopband center frequencies (DC, 50 Hz, 100 Hz) as for the ideal scenario of Delay = 284. The importance of this extra choice is that the proposed cascade structures in Fig 11 inherently (at no extra cost) provides 160 registers inside its first stage. That can be used to realize the needed delay line in Fig 14. Thus, the proposed optimally-factored cascade structure of H(z) can be implemented by using 568 registers, 16 shift-adds and 31 structural adders.


A novel low-complexity digital filter design for wearable ECG devices
Choice of Delay parameter in 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.g014: Choice of Delay parameter in the optimally factored-cascade IFIR implementation of H(z).
Mentions: Notice that, even in the absence of such a memory unit, the proposed optimally factored-cascade IFIR structure in Fig 11 accommodates a practical choice for the Delay parameter, without requiring any extra register. This is illustrated in Fig 14 where the choice of Delay = 160 is compared with the ideal Delay = 284. Clearly, this Delay choice provides reasonable trade-offs while supporting the same level of attenuation at the stopband center frequencies (DC, 50 Hz, 100 Hz) as for the ideal scenario of Delay = 284. The importance of this extra choice is that the proposed cascade structures in Fig 11 inherently (at no extra cost) provides 160 registers inside its first stage. That can be used to realize the needed delay line in Fig 14. Thus, the proposed optimally-factored cascade structure of H(z) can be implemented by using 568 registers, 16 shift-adds and 31 structural adders.

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.