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Sensors
  • Article
  • Open Access

23 June 2021

Noise-Reducing Fabric Electrode for ECG Measurement

,
,
and
1
Department of Computer Science and Engineering, University of Yamanashi, Kofu, Yamanashi 400-8511, Japan
2
Department of Electrical and Electronic Engineering, University of Yamanashi, Kofu, Yamanashi 400-8511, Japan
*
Author to whom correspondence should be addressed.
This article belongs to the Section Biomedical Sensors

Abstract

In this work, we propose a fabric electrode with a special structure that can play the role of a noise reduction filter. Fabric electrodes made of the conductive fabric have been used for long-term ECG measurements because of their flexibility and non-invasiveness; however, due to the large impedance between the skin and the fabric electrodes, noise is easily introduced into the ECG signal. In contrast to conventional work, in which chip-type passive elements are glued to the electrode to reduce noise, the proposed electrode can obtain a noise-reduced ECG by changing the structure of fabric. Specifically, the proposed electrode was folded multiple times to form a capacitor with a capacitance of about 3 nF. It is combined with the skin-electrode impedance to form a low-pass filter. In the experiment, we made a prototype of the electrodes and measured ECG at rest and during EMG-induced exercise. As a result, the SNR values at rest and during exercise were improved about 12.02 and 10.29 dB, respectively, compared with the fabric electrode without special structure. In conclusion, we have shown that changing the fabric electrode structure effectively removes noise in ECG measurement.

1. Introduction

In the field of e-textiles, conductive yarns, and conductive fabrics are used as sensors. Conductive fabrics have the advantages of being flexible and lightweight compared to conventional electrodes such as metal plates. In addition, conductive fabrics have the advantage of non-invasiveness, so they are also used as electrodes for measuring biological signals, as in electrocardiogram (ECG). However, it is known that fabric electrodes cause the introduction of a great deal of noise because the skin-electrode impedance is higher than with a wet electrode, such as an Ag/AgCl electrode [1]. In general, noise reduction techniques are required in ECG analysis such as the automatic diagnosis of heart disease. If noise reduction is not sufficient, the accuracy of the automatic diagnosis may decrease because the ECG feature extraction accuracy like R-peak detection will also decrease [2]. For noise reduction, various methods have been proposed, such as the improvement of electronic circuits, materials of electrodes, and noise reduction algorithms. In this work, we propose a noise reduction method focusing on the internal structure of the electrode.
Conventional ECG measurement devices use an analog filter that combines flexible materials and passive elements, such as chip resistors and capacitors. For example, one proposed device involves a printed conductive pattern and a passive device attached to the fabric to form an analog filter. This structure makes it possible to acquire a less noisy signal than when using electrodes without a filter. However, there is a risk of damaging the conductive pattern and the passive device by disturbance. To prevent this damage, a new approach that omits the process of attaching the passive device to the fabric and makes the fabric itself function as a circuit is required. Recently, a pressure sensor that can reduce the number of conductors connecting threads and circuits has been proposed [3]. This sensor is focused on the structure of thread intersections, and it has been shown that just changing the structure of the fabric can provide a new function. This means that the passive elements used in the circuits can be replaced by changing the internal fabric structure. In the field of ECG measurement device development, an electrode that changes only the structure of the conductive fabric itself to add function as a filter has not been proposed. Therefore, we propose a new noise reduction method that allows band-limiting by changing only the internal electrode structure without using passive elements, such as chip devices.
In this work, based on the idea in e-textiles of adding functions by changing the structure of conductive yarns, we consider changing the structure of fabric electrodes to add new functions. As a new function, the multi-layer structure of the electrode provides a capacitor which has a sufficient capacitance. Then, the capacitor and the skin-electrode impedance are combined to form a low-pass filter. The contributions of this work are as follows:
  • We have discovered that elements made of fabric can play the same role as general passive elements;
  • We show that the impedance of the human body and passive devices made of conductive fabric can work as a filter;
  • We show that changing the internal structure of the conductive fabric is effective in noise reduction.
In this paper, we show that, by changing the structure of the electrode itself, it functions as a filter. In the experiment, the proposed electrode performs an ECG measurement with little noise even when the electrode is dry. The paper is organized as follows: Section 2 describes related works; Section 3 describes the proposed electrode structure; in Section 4, the ECG measurement system is used to evaluate the proposed electrode; Section 5 describes the discussion and future works; and finally, Section 6 summarizes this work.

3. An Analog Filter by the Conductive Fabric

In this section, the structure of the proposed fabric filter and the actual fabric electrode are presented.

3.1. Requirements for Analog Filter

As described in Section 2, this work aims to create a low-pass filter without an electronic device by changing the structure of the electrodes. We will firstly describe the relationship between the proposed electrodes and the noise to be filtered, then the proposed structure of the fabric. As shown in Figure 1, there are several types of noise, such as power line interference (PLI), electrode motion (EM), and the signal from organs other than ECG, such as electromyogram (EMG). It is known that PLI is 50 or 60 Hz , EM is low frequency, and EMGs are high frequency [2]. Since EMGs are noise originating in the human body, they are known to affect ECG preprocessing and diagnosis classification accuracy adversely. Therefore, they should be reduced before the circuit’s input, which amplifies the ECG. To reduce their effect, we aim to create a filter that reduces the high-frequency noise like EMG.
Figure 1. Relationship between the human body, skin-electrode interfaces, ECG measurement system, and noises. PLI, EMG and EM mean power line interference, electromyogram, and electrode motion, respectively.
We first consider implementing a low-pass filter between the skin and electrode to attenuate the EMG. Figure 2 shows an electronic circuit of the low-pass filter. Elements constructed the low-pass filter in Figure 2 are R b o d y , R c , C c , and C e . Each element means the internal resistance of human, the resistance, and the capacitor consist of skin-electrode impedance, and the capacitor of the proposed electrode, respectively. Here, we consider R b o d y to be 500 Ω , which is the maximum internal resistance from the fingertip to the foot. It is known that the skin-electrode impedance consists of the resistor R c and capacitor C c , which have several M Ω and several hundred p F to several n F , respectively [25]; however, the actual values of R c and C c are uncertain. If we can estimate the skin-electrode impedance, we can realize the low-pass filter by placing the appropriate values of C e before the circuit’s inputs. The transfer function combined with the C e can express as follows:
V o u t V i n ( s ) = 1 s C e R b o d y + R c 1 + s R c C c + 1 s C e .
Figure 2. An overview of the proposed analog filter.
Because the range of EMG is from 100 Hz to a few k Hz or more, we measured the skin-electrode impedance to determine the appropriate capacitance of C e .

3.2. Impedance Constituting the Textile Filter

Here, we consider the skin-electrode impedance to determine the capacitance of the electrode to be designed. The skin-electrode impedance was measured by using one target electrode and two reference electrodes in accordance with previous work [19,26]. As shown in Figure 3, when a target electrode is attached between the reference electrodes, the impedance Z 1 x between the reference electrode E 1 and the target electrode E x can be measured. Z 1 x is the sum of the impedances Z 1 , Z b o d y 1 , and Z x , which are the impedance from E 1 to the skin, the impedance in the body, and the impedance from the skin to the target electrode, respectively. Similarly, the impedance Z 2 x from E x to E 2 and the impedance Z 12 from E 1 to E 2 are also the sum of the impedance of each electrode, the skin, and the impedance in the body. The following equation expresses the impedances between each electrode:
Z 1 x = Z 1 + Z b o d y 1 + Z x , Z 2 x = Z 2 + Z b o d y 2 + Z x , Z 12 = Z 1 + Z b o d y 1 + Z b o d y 2 + Z 2 .
Figure 3. The relationship of the impedance between each electrode.
Assuming that Z b o d y 1 and Z b o d y 2 are equal when the distances L 1 and L 2 from the target electrode E x to the reference electrodes E 1 and E 2 are equal, the final impedance Z x is expressed by the following equation:
if L 1 = L 2 : Z x = Z 1 x Z 12 2 = Z 2 x Z 12 2 .
In this case, impedance Z x was estimated based on Equation (3) by measuring Z 1 x , Z 2 x , and Z 12 when the surface area is 2 × 2 c m 2 . In the measurement, 3M Red Dot monitoring electrode was used as the reference electrode. The measurement results are shown in Figure 4. Z 12 was 151.2   k Ω at 1 Hz and 89.8   k Ω at 20 Hz , then we assume to be ignored when comparing with Z 1 x and Z 2 x . The impedance above 10 Hz shows that the resistance and capacitance of the skin-electrode impedance are about 1.0 to 1.5   M Ω and about 1 to 3 n F , respectively. The measurement revealed the impedance between the skin and the electrodes, but in the actual environment, the impedance may change due to various factors (e.g., sweating). In order to determine the impedance of the electrodes that can be used as a filter even if the impedance of the skin changes, we conducted the simulation using the circuit shown in Figure 2 and LTspice.
Figure 4. The impedance between the skin and the electrode.
The result of circuit simulation is shown in Figure 5. When C c is assumed to be 3 n F and C e is set to 1 n F , the attenuation above 100 Hz is as low as 2.48 dB at 1.0   k Hz . On the other hand, an attenuation of about 6.02 dB can be expected by changing C e to 3 n F . If C c is 1 n F , a maximum attenuation of about 12.73 dB can be expected when C e is 3 n F . If the capacitance of C e is set to 10 n F or greater than C c , it can be attenuated more than when C e is about 3 n F . However, the signal at about 10 Hz may be attenuated, and the ECG waveform may not be obtained. If the skin surface is wet, the resistance may decrease. If R c is set to 0.5   M Ω , the attenuated frequency moved into the high-frequency domain. Therefore, we assume that R c and C c are 1.5   M Ω and 3 n F , and we adopt 3 n F for C e .
Figure 5. The simulation result changing R c , C c , and C e .

3.3. Fabric Structure

In this section, the actual structure of the electrode is described. As shown in Figure 6a, in the case of touch sensors made of conductive fabric, conductive yarns covered with an insulator, such as polyester, are crossed to create a capacitor. However, when the yarns are crossed, as in a pressure sensor with conductive yarns, the capacitance value per crossing point is at most several pF. To increase the capacitance value, we propose an electrode with the structure shown in Figure 6b.
Figure 6. The structure of the fabric capacitor. (a) The conventional fabric such as pressure sensor. (b) The proposed fabric.
The proposed electrode is made by sandwiching a non-conductive material between two pieces of conductive fabric and folding them. In focusing on the internal structure, the proposed structure is similar to the touch sensor in principle, because the sandwiched fabric layers work like a large number of capacitors in a fabric touch sensor. As a material of the proposed electrode, AGposs conductive wearable electrode tape was used. The tape used silver-plated conductive fibers, and the resistance per c m 2 was less than 1.0   Ω . In addition, silver has been reported to be less harmful to human health, making it a suitable material for electrodes that are directly attached to the human body. A polyimide was used as the non-conductive material to stack conductive tape. Although we have not evaluated the flexibility of the filter, we confirmed that it could be attached to the arm even if the ground surface was curved, and that it was flexible enough not to impair its function as a filter in actual measurements. The capacitance per c m 2 when the fabric tape stacked with the polyimide was measured with a LCR Meater, and it was 20 p F . Therefore, the capacitor must have a surface area of about 150 c m 2 due to the capacitance per unit area. As shown in Figure 7, the area between the skin and electrode was 2 × 2   c m 2 . The capacitor was made from the conductive tape with a length of 30 c m and a width of 5 c m . The electrode has seven layers, and the capacitance of each layer can be regarded as a single capacitor that is synthesized.
Figure 7. The prototype of the proposed electrode. (a,b) show the top view and bottom view, respectively. The fabric capacitor consists of the vertical and the horizontal conductive fabric. The area connecting with the skin is 2 × 2 c m 2 . To prevent skin touching the fabric capacitor, we used a non-conductive fabric in (b). The total thickness of the fabric electrode including that of a non-conductive fabric was about 1 c m .
It should be noted that the capacitance of the fabric filter changes according to the applied pressure due to the characteristics of folded fabric. We further investigated the differences in the capacitance of two prototype electrodes when different external forces are applied to them. As shown in Figure 8, a digital force gauge and LCR meter were used to measure the capacitance by applying constant pressure to the electrodes. The capacitance of each electrode was measured 600 times every 0.5 seconds for about five minutes. The average values of the capacitance when 10, 30, and 50 N were applied to one of the electrodes were 1.66, 2.24, and 3.35   n F , respectively. Similarly, the average values for the other electrode were 2.39, 2.96, and 3.34   n F , respectively. There was a difference in capacitance of about 0.75   n F when an external force of 10 N was applied to each electrode, but the capacitance became almost the same value when the external force was increased. Therefore, once the pressure is applied, the capacitance value in the fabrics can be kept almost constant.
Figure 8. The environment for measuring the capacitance of the electrode.

4. Evaluation of Textile Filter

In Section 3, it was confirmed that the proposed capacitor was determined to have the desired capacitance. We evaluated whether it can be used as an electrode of an ECG measurement device through an actual measurement. The signal quality obtained by our proposed electrodes and ordinal Ag/AgCl ones was compared.

4.1. Settings

Because the fabric filter was connected before the pre-amplifier, it was necessary to confirm the attenuation of the noise by paying attention to the noise mixed with the movement of the body. Therefore, ECGs at rest and exercise were performed. During exercise, the subject grasped the grip strength meter to mix the EMG; in order to confirm the attenuation of the EMG mixed in when grasping an object, a wristband-type system that affects the EMG more was used. Figure 9 shows an overview of the system used for the ECG measurement. As in the conventional method, this system acquires the ECG using electrodes and electronic circuits attached to the body. The acquired ECG signals are converted into a digital signal by a 12-bit A/D converter in ESP32 and are then stored in a paired terminal through the Bluetooth module. The sampling frequency during the measurement was set to 1.0   k Hz . System power was supplied from a mobile battery to minimize noise generated from the GND of the measurement equipment.
Figure 9. Overview of the ECG measurement system. The system has three inputs from the right arm V , the left arm V + , and the reference electrode V ref . V and V + are our proposed fabric electrodes, and V ref is a non-folded fabric electrode. The ECG signal is sent to laptop via Bluetooth.
Figure 10 shows the electronic circuit used in the ECG measurement system. The signal obtained from the right-hand and left-hand electrodes is input to the instrumentation amplifier INA121 (Texas Instruments, input impedance 1 T Ω ). The first stage instrumentation amplifier and the second stage non-inverting amplification circuit amplified 20 dB and 40 dB, respectively, resulting in a total amplification of 60 dB. Because the aim was to confirm the performance of a low-pass filter using the textile filter, the filters between the first-stage amplification and the second-stage amplification were combined as a twin-t notch filter and a high-pass filter. The twin-t notch filter is composed of a resistor and a capacitor, and it reduces noise from a commercial power supply of 50 Hz . The cut-off frequency of the high-pass filter was set to 0.5   Hz . To confirm the effect of noise reduction on the high frequency of the proposed fabric electrode, we experimented with the proposed electrode and fabric electrode without the proposed structure called non-folded fabric. The non-folded fabric electrode also has a 2 × 2 c m 2 surface area and was connected to the input of the electronic circuit directly.
Figure 10. The circuit for the ECG measurement. The red line indicates the proposed electrode. The circuit consists of the twin-t notch filter, the first order high-pass filter and the amplifiers.
For the evaluation of the acquired signal, signal-to-noise ratio (SNR) was used as a quantitative evaluation index. The SNR calculation is as follows:
S N R = 10 log 10 x = 1 N S x 2 x = 1 N ( S x S x ) 2 ,
where S x and S x denote the x-th data of the clean signal and the acquired signal, respectively. To evaluate the difference of the high-frequency component, we applied the FIR filters to S x . These filters are the high-pass filter ( f c = 0.67   Hz ), the bandwidth rejection filter ( f c = 49 Hz , 51 Hz ), and the low-pass filter ( f c = 100 Hz ). Similarly, the same high-pass filter and bandwidth rejection filter was applied to S x . In addition, power spectral density (PSD) is also shown to indicate the frequency components contained in the measured signals. The method of Welch et al. [27] was used to calculate the PSD. To further compare the morphology of the ECG, we used temporal and spectral measures of HRV, peak-to-peak amplitude, and cross-correlation index to compare with Ag/AgCl electrodes, similar to the indices described in [12]. The ECG measurements using the proposed electrode and the non-folded fabric electrode were taken at rest and during exercise for three minutes, once for each. The subject was a university male student in his 20 s. In order to check the feasibility of using proposed fabric electrodes, the experiment was conducted with only one subject.

4.2. The Measurement Result during Resting

Figure 11 and Figure 12 show the ECG measurement results of the non-folded fabric electrode and the proposed electrode, respectively. The signal using a non-folded fabric electrode in Figure 11a is noisy, and it can be seen that the R-peak is buried in the noise. In particular, the potential of the T wave after the R-peak is similar to the R-peak, making it difficult to distinguish between the R wave and the T wave. The signal obtained from the proposed electrode in Figure 12a has less noise than in Figure 11a, and it is easier to differentiate between R and T waves. Compared to Figure 12b, Figure 11b has more high-frequency component other than ECG. SNR values using the non-folded fabric and proposed fabric based on Equation (4) were 7.43 and 19.45 dB, respectively. It means that the SNR value was improved 12.02 dB by using the proposed electrode. Therefore, we can confirm the attenuation of the high-frequency noise by the filtering of the proposed electrode.
Figure 11. The ECG measurement result using the non-folded fabric electrode at rest. (a) The measured signal and the signal filtered by FIR filters. (b) The high-frequency component above 100 Hz in (a). (a,b) are the common in Figure 12, Figure 13 and Figure 14.
Figure 12. The ECG measurement result using the proposed fabric electrode at rest.

4.3. The Measurement Results during Exercise

The results of the measurements during exercise using the non-folded fabric electrode and the proposed electrode are shown in Figure 13 and Figure 14, respectively. As shown in Figure 13a, the signal measured during exercise had more noticeable noise overall than that in Figure 11a. Similarly, when using the proposed electrode, the signal in Figure 14a contains more noise than in Figure 12a. As shown in Figure 13b, the high-frequency noise other than ECG contained in Figure 13a is greater than the noise in Figure 11b. Therefore, we can see that this signal is the noise introduced by the exercise. On the other hand, as shown in Figure 14b, the signal using the proposed electrode has less noise than that in Figure 12b. SNR values using the non-folded fabric and proposed fabric based on Equation (4) were 7.59 and 17.88 dB, respectively. As well as during resting, the SNR value in exercise was also improved 10.29 dB by using the proposed electrode. Therefore, it can be said that high-frequency component noise can be reduced by incorporating a filter structure in the electrodes, even during exercise.
Figure 13. The ECG measurement result using the non-folded fabric electrode in exercise.
Figure 14. The ECG measurement result using the proposed fabric electrode in exercise.
Finally, the power spectral density (PSD) of each measurement is shown in Figure 15. The power of all signals was similar up to around 20 Hz , and the power of the signals above 20 Hz differed depending on whether they were at rest or exercise, and whether the proposed electrode or non-folded fabric electrode was used. Both electrodes showed an increase in power above 100 Hz during exercise. An attenuation of 6.02 dB was expected in the simulation result, as shown in Figure 5, where R c , C c , and C e were assumed to be 1.5   M Ω , 3 n F , and 3 n F , respectively. The attenuation above 100 Hz by the proposed electrode was 5.96 to 10.56 dB at rest and 6.67 to 10.91 dB during exercise compared with the ordinal electrodes. The average attenuation above 100 Hz were 9.06 dB at rest and 9.41 dB during exercise compared with the ordinal electrodes. Therefore, the performance of the low-pass filter with the proposed electrode was confirmed as desired.
Figure 15. The power spectral density.

4.4. Signal Quality Comparison with Ag/AgCl Electrode

The comparison between the proposed electrode and an Ag/AgCl electrode at rest and during exercise is shown in Figure 16, Table 1 and Table 2. In Figure 16, there is a difference in the shape of T-wave between the fabric electrode and an Ag/AgCl electrode, but the other shapes are similar. In addition, it can be confirmed that the proposed electrode can reduce the noise because distortions can be seen on the non-folded electrode compared with the proposed electrode. In Table 1 and Table 2, the cross-correlation coefficients were slightly larger for the proposed electrode than for the non-folded fabric, and the proposed electrodes was closer to the Ag/AgCl results. All the temporal measures were lower for the proposed electrode in both resting and exercise conditions. The larger NN50 values for the Ag/AgCl and the non-folded electrodes were due to the fact that the function of low-pass filter was not installed in both of them, and only the proposed electrode with a built-in low-pass filter was more stable. In spectral measures, the power of the Ag/AgCl electrode was the highest, and that of the proposed electrode was the lowest. The peak-to-peak amplitude of the proposed electrode was highest, and the differences from the Ag/AgCl electrode were 0.081   V at rest and 0.086   V during exercise. From the experimental results above, we confirmed that the proposed electrode can measure ECG, as well as an Ag/AgCl electrode.
Figure 16. ECG template for each electrode. (a) At rest, (b) during exercise.
Table 1. ECG signal quality indices at rest.
Table 2. ECG signal quality indices during exercise.

5. Discussion

The experimental results showed that the proposed fabric electrodes attenuated the high-frequency component both at rest and exercise. Due to the characteristics of the analog filter embedded in the electrode, there was a possibility that the phase of each electrode would be shifted and the ECG could not be observed, but the ECG was confirmed with the proposed electrode. It was shown that the fabric itself can be used as a passive device by changing the internal structure of the fabric electrodes, and it can be applied as an analog filter. The filter characteristics can be adjusted by the area and the number of layers, so it can be used as an equalizer. Since the capacitance can be changed for each location on a plane, it may be used in conjunction with signal analysis to obtain signals with less noise, and also to analyze signals that vary from location to location. For more efficient noise attenuation, we believe there are improvements that can be made in terms of electronic circuits and electrodes.
To confirm the performance of the fabric electrode filter, we compared the minimum electronic circuits required to obtain the ECG. However, in the actual ECG measurement system, it is also possible to combine an analog filter with the fabric electrode and a low-pass filter using more passive devices like chip capacitors and resistors. The improvement of noise reduction performance combining the fabric electrodes and the electronic circuit is an issue to be addressed in the future. In addition, because the proposed fabric electrode used a low-pass filter using the impedance of the human body, the attenuation of the high-frequency component did not decrease after a certain value. Therefore, we consider it possible to extend it to a multi-stage filter using only conductive fabric by combining fabric materials that can be used in place of resistors and capacitors. If a multi-stage filter such as a band-pass filter could be created, it would be possible to design it with a more stable frequency response independent of the pressure applied to the skin and electrode. In the future, we will focus on the fine structure at the thread level and study the electrode structure that can be incorporated into a fabric electrode as a passive device. In the experiment, the capacitance of fabric electrode C e was stable when it was sufficiently pressed with a band, although the layers of the proposed electrode were not bonded to each other. It will be possible to make the electrode more stable by replacing the layers with a woven structure. The structure of weaving coated conductive yarns is promising for more capacity and reduced thickness and area. Capacitance is generated between the yarns, then capacitance is generated even within a single piece of fabric. Furthermore, by weaving the fabric into layers, we can realize even more capacitance. Additionally, it is possible to replace the material with a more flexible one, and it is desirable to discover such a material.

6. Conclusions

In this paper, we proposed a fabric electrode in which the fabric itself plays the role of a filter without the conventional passive devices, such as chip capacitors and resistors. The proposed electrode has sufficient capacitance to form an analog filter by folding the conductive fabric. By combining the capacitor with the skin-electrode impedance, the electrode has the function of a low-pass filter, which attenuates high-frequency component noise. During the evaluation, the ECG was performed while the subject was at rest and during exercise while being intentionally influenced by EMG noises. It was confirmed that the SNR values of the proposed electrode improved around 12.02 dB at rest and 10.29 dB during exercise compared to when the non-folded fabric electrode was used. The results indicate that the performance of the folded fabric capacitor is comparable to a typical ceramic capacitor and that fabric electrodes can be used for ECG measurements. R c and C c in the skin-electrode interface can differ when the skin is sweating or the electrode is wet. We have confirmed that the desired filter characteristics can be obtained within a certain range, as shown in Figure 5. However, it is necessary to consider the fact that the filter characteristics may not be within this range during intense exercise. We believe that there are enough applications where the electrode can be used despite the limitations. In future work, we will clarify the optimal capacitor parameters and the structure of the new fabric electrode. Additionally, we would like to verify the versatility of the system by increasing the number of subjects and conducting experiments over a long period of time as future work.

Author Contributions

Conceptualization, T.T., M.T., T.S., and X.M.; methodology, T.T., M.T., T.S., and X.M.; software, T.T.; validation, T.T., M.T., T.S., and X.M.; formal analysis, T.T., M.T., T.S., and X.M.; investigation, T.T., M.T., T.S., and X.M.; resources, M.T., and T.S.; data curation, T.T.; writing—original draft preparation, T.T., and M.T.; writing—review and editing, T.T., M.T., T.S., and X.M.; visualization, T.T.; supervision, M.T.; project administration, M.T.; funding acquisition, T.T., M.T., T.S., and X.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by JSPS KAKENHI Grant Numbers JP19J22555, JP20H04472 and JP20K04597.

Institutional Review Board Statement

Ethical review and approval were waived for this study, because non-invasive measurements on an author him/herself were performed.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Puurtinen, M.M.; Komulainen, S.M.; Kauppinen, P.K.; Malmivuo, J.A.; Hyttinen, J.A. Measurement of noise and impedance of dry and wet textile electrodes, and textile electrodes with hydrogel. In Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, USA, 30 August–3 September 2006; pp. 6012–6015. [Google Scholar]
  2. Apandi, Z.F.M.; Ikeura, R.; Hayakawa, S.; Tsutsumi, S. An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance. Bioengineering 2020, 7, 53. [Google Scholar] [CrossRef] [PubMed]
  3. Terada, T.; Toyoura, M.; Sato, T.; Mao, X. Functional Fabric Pattern—Examining the Case of Pressure Detection and Localization. IEEE Trans. Ind. Electron. 2018, 66, 8224–8234. [Google Scholar] [CrossRef]
  4. Muzammal, M.; Talat, R.; Sodhro, A.H.; Pirbhulal, S. A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks. Inf. Fusion 2020, 53, 155–164. [Google Scholar] [CrossRef]
  5. Komensky, T.; Jurcisin, M.; Ruman, K.; Kovac, O.; Laqua, D.; Husar, P. Ultra-wearable capacitive coupled and common electrode-free ECG monitoring system. In Proceedings of the IEEE International Conference of the Engineering in Medicine and Biology Society, San Diego, CA, USA, 28 August–1 September 2012; pp. 1594–1597. [Google Scholar]
  6. Merritt, C.R.; Nagle, H.T.; Grant, E. Fabric-based active electrode design and fabrication for health monitoring clothing. IEEE Trans. Inf. Technol. Biomed. 2009, 13, 274–280. [Google Scholar] [CrossRef] [Green Version]
  7. Spanò, E.; Di Pascoli, S.; Iannaccone, G. Low-power wearable ECG monitoring system for multiple-patient remote monitoring. IEEE Sens. J. 2016, 16, 5452–5462. [Google Scholar] [CrossRef]
  8. Paul, G.; Torah, R.; Beeby, S.; Tudor, J. Novel active electrodes for ECG monitoring on woven textiles fabricated by screen and stencil printing. Sens. Actuators Phys. 2015, 221, 60–66. [Google Scholar] [CrossRef]
  9. Celik, N.; Manivannan, N.; Strudwick, A.; Balachandran, W. Graphene-enabled electrodes for electrocardiogram monitoring. Nanomaterials 2016, 6, 156. [Google Scholar] [CrossRef] [Green Version]
  10. Yapici, M.K.; Alkhidir, T.E. Intelligent Medical Garments with Graphene-Functionalized Smart-Cloth ECG Sensors. Sensors 2017, 17, 875. [Google Scholar] [CrossRef] [Green Version]
  11. Lam, C.L.; Saleh, S.M.; Yudin, M.B.M.; Harun, F.K.; Sriprachuabwong, C.; Tuantranont, A.; Wicaksono, D.H. Graphene Ink-Coated Cotton Fabric-Based Flexible Electrode for Electrocardiography. In Proceedings of the International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, Bandung, Indonesia, 6–7 November 2017; pp. 73–75. [Google Scholar]
  12. Reyes, B.A.; Posada-Quintero, H.F.; Bales, J.R.; Clement, A.L.; Pins, G.D.; Swiston, A.; Riistama, J.; Florian, J.P.; Shykoff, B.; Qin, M.; et al. Novel electrodes for underwater ECG monitoring. IEEE Trans. Biomed. Eng. 2014, 61, 1863–1876. [Google Scholar] [CrossRef]
  13. Weder, M.; Hegemann, D.; Amberg, M.; Hess, M.; Boesel, L.F.; Abächerli, R.; Meyer, V.R.; Rossi, R.M. Embroidered electrode with silver/titanium coating for long-term ECG monitoring. Sensors 2015, 15, 1750–1759. [Google Scholar] [CrossRef] [Green Version]
  14. An, X.; Stylios, G. A Hybrid Textile Electrode for Electrocardiogram (ECG) Measurement and Motion Tracking. Materials 2018, 11, 1887. [Google Scholar] [CrossRef] [Green Version]
  15. Taji, B.; Shirmohammadi, S.; Groza, V.; Bolic, M. An ECG monitoring system using conductive fabric. In Proceedings of the IEEE International Symposium on Medical Measurements and Applications, Gatineau, QC, Canada, 4–5 May 2013; pp. 309–314. [Google Scholar] [CrossRef]
  16. Rattfält, L.; Lindén, M.; Hult, P.; Berglin, L.; Ask, P. Electrical characteristics of conductive yarns and textile electrodes for medical applications. Med. Biol. Eng. Comput. 2007, 45, 1251–1257. [Google Scholar] [CrossRef]
  17. Sinha, S.; Alamer, F.A.; Woltornist, S.J.; Noh, Y.; Chen, F.; McDannald, A.; Allen, C.; Daniels, R.; Deshmukh, A.A.; Jain, M.; et al. Graphene and Poly(3,4-ethylene dioxythiophene): Poly(4-styrene sulfonate) on Nonwoven Fabric as a Room Temperature Metal and Its Application as Dry Electrodes for Electrocardiography. ACS Appl. Mater. Interfaces 2019, 11, 32339–32345. [Google Scholar] [CrossRef]
  18. Wu, W.; Pirbhulal, S.; Sangaiah, A.K.; Mukhopadhyay, S.C.; Li, G. Optimization of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications. Future Gener. Comput. Syst. 2018, 86, 515–526. [Google Scholar] [CrossRef]
  19. Xiao, X.; Pirbhulal, S.; Dong, K.; Wu, W.; Mei, X. Performance Evaluation of Plain Weave and Honeycomb Weave Electrodes for Human ECG Monitoring. J. Sensors 2017, 2017, 7539840:1–7539840:13. [Google Scholar] [CrossRef] [Green Version]
  20. Li, H.; Chen, X.; Cao, L.; Zhang, C.; Tang, C.; Li, E.; Feng, X.; Liang, H. Textile-based ECG acquisition system with capacitively coupled electrodes. Trans. Inst. Meas. Control. 2017, 39, 141–148. [Google Scholar] [CrossRef]
  21. Lee, J.; Heo, J.; Lee, W.; Lim, Y.; Kim, Y.; Park, K. Flexible capacitive electrodes for minimizing motion artifacts in ambulatory electrocardiograms. Sensors 2014, 14, 14732–14743. [Google Scholar] [CrossRef] [Green Version]
  22. Lee, S.M.; Sim, K.S.; Kim, K.K.; Lim, Y.G.; Park, K.S. Thin and flexible active electrodes with shield for capacitive electrocardiogram measurement. Med. Biol. Eng. Comput. 2010, 48, 447–457. [Google Scholar] [CrossRef]
  23. Takano, M.; Yamagishi, S.; Ohmuta, T.; Fukuoka, Y.; Ueno, A. Non-contact simultaneous measurements of electrocardiogram and respiratory movements using capacitive sheet electrodes. Adv. Biomed. Eng. 2017, 6, 28–36. [Google Scholar] [CrossRef] [Green Version]
  24. Ozkan, H.; Ozhan, O.; Karadana, Y.; Gulcu, M.; Macit, S.; Husain, F. A Portable Wearable Tele-ECG Monitoring System. IEEE Trans. Instrum. Meas. 2019, 69, 173–182. [Google Scholar] [CrossRef]
  25. Chi, Y.M.; Jung, T.P.; Cauwenberghs, G. Dry-contact and noncontact biopotential electrodes: Methodological review. IEEE Rev. Biomed. Eng. 2010, 3, 106–119. [Google Scholar] [CrossRef] [Green Version]
  26. Kannaian, T.; Neelaveni, R.; Thilagavathi, G. Design and development of embroidered textile electrodes for continuous measurement of electrocardiogram signals. J. Ind. Text. 2013, 42, 303–318. [Google Scholar] [CrossRef]
  27. Welch, P. The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. 1967, 15, 70–73. [Google Scholar] [CrossRef] [Green Version]
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