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An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
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Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
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Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
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Textile-based Low-frequency RC Filter for Noise Reduction in ECG signals.

Nada Al-Azzawi1, Irem Yunculer2, Kadir Ozlem1

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Summary

This study introduces low-frequency textile-based Resistor-Capacitor (RC) filters for wearable technology. These e-textile filters effectively suppress noise in electrocardiogram (ECG) signals during movement.

Keywords:
ECG filteringRC filterse‐textile filterslow frequency filteringsmart shirttextile‐based electrodeswearable RC filter

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Biomedical Engineering

Background:

  • Electronic textiles (e-textiles) have advanced wearable technology, enabling textile-based sensing and actuation.
  • While high-frequency filtering is explored in e-textiles, low-frequency filtering remains underexplored.
  • Integrating electronic solutions like filtering into textiles offers new possibilities for wearable systems.

Purpose of the Study:

  • To design and fabricate low-frequency textile-based Resistor-Capacitor (RC) filters for wearable applications.
  • To explore various materials and geometric configurations for textile filter components.
  • To evaluate the performance and efficacy of these filters in a real-world application, such as electrocardiogram (ECG) monitoring.

Main Methods:

  • Investigated different materials and geometric designs for textile resistive and capacitive components.
  • Fabricated textile-based RC filters and analyzed their frequency response.
  • Integrated filters with textile electrodes and tested their performance during static and dynamic activities using ECG signals.

Main Results:

  • Textile-based RC filters demonstrated effective low-frequency filtering capabilities.
  • Achieved comparable performance to conventional electronic filters in noise suppression.
  • Showcased significant signal-to-noise ratio (SNR) improvements: 25 dB (static) and 11 dB (dynamic).

Conclusions:

  • Textile-based low-frequency filters are viable alternatives to conventional electronic filters.
  • These filters show great potential for enhancing the quality of wearable biosignal monitoring.
  • The developed filters are suitable for integration into wearable systems, even during physical activity.