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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.


Illustration of the performance of the of the proposed filter when the input ECG data (collected with wearable sensors) is contaminated with various levels of DC and 50 Hz noise.
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pone.0175139.g017: Illustration of the performance of the of the proposed filter when the input ECG data (collected with wearable sensors) is contaminated with various levels of DC and 50 Hz noise.

Mentions: Fig 15, Fig 16 and Fig 17 illustrate the results of the tests that we conducted to further evaluate the performance of the designed filter. Several simulated inputs (i.e., a DC signal, a sinusoidal at the edge of the passband, a sinusoidal at the middle of the passband, and a sinusoidal at the center of the stopband) were given as the input to our filter. As Fig 15(A) shows, the designed filter successfully attenuates DC down to the desired level at the output. We also observe (Fig 15B and 15C) that the sinusoids at the edge of the passband (0.5Hz) and at the middle of passband (25 Hz) are safely passed to the outputs with no attenuation.


A novel low-complexity digital filter design for wearable ECG devices
Illustration of the performance of the of the proposed filter when the input ECG data (collected with wearable sensors) is contaminated with various levels of DC and 50 Hz noise.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0175139.g017: Illustration of the performance of the of the proposed filter when the input ECG data (collected with wearable sensors) is contaminated with various levels of DC and 50 Hz noise.
Mentions: Fig 15, Fig 16 and Fig 17 illustrate the results of the tests that we conducted to further evaluate the performance of the designed filter. Several simulated inputs (i.e., a DC signal, a sinusoidal at the edge of the passband, a sinusoidal at the middle of the passband, and a sinusoidal at the center of the stopband) were given as the input to our filter. As Fig 15(A) shows, the designed filter successfully attenuates DC down to the desired level at the output. We also observe (Fig 15B and 15C) that the sinusoids at the edge of the passband (0.5Hz) and at the middle of passband (25 Hz) are safely passed to the outputs with no attenuation.

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.