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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.


Related in: MedlinePlus

A schematic presentation of a wearable ECG device where the captured signal is transmitted (through a wireless channel) to a remote backend system for further processing.
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pone.0175139.g001: A schematic presentation of a wearable ECG device where the captured signal is transmitted (through a wireless channel) to a remote backend system for further processing.

Mentions: Several requirements (in terms of power consumption, physical size, and cost) must be taken into consideration to design a reliable and practical wearable ECG device. For example, a lower power consumption would guarantee a longer battery life. Hardware complexity of the device would also affect the weight, size and cost of the device. As depicted in Fig 1, a wearable ECG device consists of several components in addition to the ECG electrodes (e.g., Analog interface and signal conditioning, A/D converter). The hardware complexity of each of these building blocks would affect the power consumption, size and cost of the device. One of the main components of a wearable ECG device is the filtering block. ECG signal is often contaminated by various types of noise and artifacts that need to be removed and/or suppressed by employing hardware efficient filters [6].


A novel low-complexity digital filter design for wearable ECG devices
A schematic presentation of a wearable ECG device where the captured signal is transmitted (through a wireless channel) to a remote backend system for further processing.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0175139.g001: A schematic presentation of a wearable ECG device where the captured signal is transmitted (through a wireless channel) to a remote backend system for further processing.
Mentions: Several requirements (in terms of power consumption, physical size, and cost) must be taken into consideration to design a reliable and practical wearable ECG device. For example, a lower power consumption would guarantee a longer battery life. Hardware complexity of the device would also affect the weight, size and cost of the device. As depicted in Fig 1, a wearable ECG device consists of several components in addition to the ECG electrodes (e.g., Analog interface and signal conditioning, A/D converter). The hardware complexity of each of these building blocks would affect the power consumption, size and cost of the device. One of the main components of a wearable ECG device is the filtering block. ECG signal is often contaminated by various types of noise and artifacts that need to be removed and/or suppressed by employing hardware efficient filters [6].

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.


Related in: MedlinePlus