Evaluation of Respiratory Signal Record Based on Impedance Pneumography and Textile Electrodes

Author(s):  
Carlos Rubén Dell’Aquila ◽  
Gabriel Eduardo Cañadas ◽  
Eric Laciar
2013 ◽  
Vol 718-720 ◽  
pp. 1024-1028
Author(s):  
Ning Song ◽  
Lian Ying Ji ◽  
Yong Peng Xu

Human respiratory signal provides important information in modern medical care. In daily life, respiratory signal is usually captured under different motion states with the help of Electrical impedance pneumography (EIP). Consequently, the captured signal is easily corrupted by electronic/electromagnetic noise, internal mechanical vibration of the lung and motion artifacts. Because respiratory signal and interferences co-exist in an overlapping spectra manner, classical filtering method cannot work here. In this paper, we present a new signal processing method for eliminating the noise and interferences included in EIP signal, by separating the correlated motion artifacts from the raw EIP and 3-axis Acceleration (ACC) signals, restoring the rough respiration signal from the mixed signal, and further processing using wavelet analysis approach. Results are compared to traditional denosing algorithms by wiener filter, which indicates that the new signal processing method we presented is suitable for EIP signals under the motion states.


2020 ◽  
Vol 6 (3) ◽  
pp. 205-208
Author(s):  
Michael Klum ◽  
Mike Urban ◽  
Alexandru-Gabriel Pielmus ◽  
Reinhold Orglmeister

AbstractIn recent years, respiratory monitoring has gained attention due to the high prevalence and severe consequences of sleep apnea, post-anesthesia respiratory instability and respiratory diseases. Nevertheless, respiratory monitoring oftentimes relies on obtrusive masks and belts, which are unsuitable for wearable, long-term monitoring. Impedance pneumography (IP) is a bioimpedance method aiming to assess respiratory parameters unobtrusively. However, most IP configurations require far-spaced electrodes. Based on our recent work on wearable IP, we propose a dual-lead, wearable IP setup with 55 mm electrode spacing to estimate respiratory flow and rate (RR). Using our recently presented multimodal patch stethoscope as well as commercial systems, we conducted a study including 10 healthy subjects which were recorded in the supine, lateral and prone position. Using time-delay neural networks, we achieved RR estimation errors below 0.6 breaths per minute and flow correlations of 0.88 with relative errors of 25 % to a pneumotachometer reference. We conclude that dual-lead IP increases the performance of respiratory signal estimation compared to a single lead and recommend research in the area of subject position dependency and movement artefacts.


2010 ◽  
Vol 14 (4) ◽  
pp. 81-88 ◽  
Author(s):  
Antonio Lanatà ◽  
Gaetano Valenza ◽  
E.Pasquale Scilingo

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1578
Author(s):  
Luisa Euler ◽  
Li Guo ◽  
Nils-Krister Persson

Textile electrodes, also called textrodes, for biosignal monitoring as well as electrostimulation are central for the emerging research field of smart textiles. However, so far, only the general suitability of textrodes for those areas was investigated, while the influencing parameters on the contact impedance related to the electrode construction and external factors remain rather unknown. Therefore, in this work, six different knitted electrodes, applied both wet and dry, were compared regarding the influence of specific knitting construction parameters on the three-electrode contact impedance measured on a human forearm. Additionally, the influence of applying pressure was investigated in a two-electrode setup using a water-based agar dummy. Further, simulation of an equivalent circuit was used for quantitative evaluation. Indications were found that the preferred electrode construction to achieve the lowest contact impedance includes a square shaped electrode, knitted with a high yarn density and, in the case of dry electrodes, an uneven surface topography consisting of loops, while in wet condition a smooth surface is favorable. Wet electrodes are showing a greatly reduced contact impedance and are therefore to be preferred over dry ones; however, opportunities are seen for improving the electrode performance of dry electrodes by applying pressure to the system, thereby avoiding disadvantages of wet electrodes with fluid administration, drying-out of the electrolyte, and discomfort arising from a “wet feeling”.


Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4298
Author(s):  
Alessandra Galli ◽  
Elisabetta Peri ◽  
Yijing Zhang ◽  
Rik Vullings ◽  
Myrthe van der Ven ◽  
...  

Multi-channel measurements from the maternal abdomen acquired by means of dry electrodes can be employed to promote long-term monitoring of fetal heart rate (fHR). The signals acquired with this type of electrode have a lower signal-to-noise ratio and different artifacts compared to signals acquired with conventional wet electrodes. Therefore, starting from the benchmark algorithm with the best performance for fHR estimation proposed by Varanini et al., we propose a new method specifically designed to remove artifacts typical of dry-electrode recordings. To test the algorithm, experimental textile electrodes were employed that produce artifacts typical of dry and capacitive electrodes. The proposed solution is based on a hybrid (hardware and software) pre-processing step designed specifically to remove the disturbing component typical of signals acquired with these electrodes (triboelectricity artifacts and amplitude modulations). The following main processing steps consist of the removal of the maternal ECG by blind source separation, the enhancement of the fetal ECG and identification of the fetal QRS complexes. Main processing is designed to be robust to the high-amplitude motion artifacts that corrupt the acquisition. The obtained denoising system was compared with the benchmark algorithm both on semi-simulated and on real data. The performance, quantified by means of sensitivity, F1-score and root-mean-square error metrics, outperforms the performance obtained with the original method available in the literature. This result proves that the design of a dedicated processing system based on the signal characteristics is necessary for reliable and accurate estimation of the fHR using dry, textile electrodes.


2021 ◽  
pp. 152808372110256
Author(s):  
Tasnim N Shaikh ◽  
SB Chaudhari ◽  
BH Patel ◽  
Megha Patel

This work reports the engineering of textile electrodes, considered safe for humans even if worn next to skin for a longer time. Obliging this phenomenon conductive Silver nanoparticles (AgNPs) were biosynthesized from Silver Sulphate (Ag2SO4) and medicinal values enriched Ocimum Sanctum (Tulsi)leaves extract. These conductive Silver nanoparticles were loaded by spray technique on polypropylene nonwoven fabric having inbuilt antifungal characteristics, to reduce its resistivity (10Ω) for the fabrication of textile electrodes. The adequate skin-electrode impedance values were observed for the fabricated textile electrodes, viz; 1.44 MΩ–1.83 MΩ and 1.01 MΩ–1.18 MΩ, in the dry and wet state respectively. The 3-lead health monitoring electrocardiograms (ECG) were obtained on the Analogous system with the textile electrodes; dry and wet state as well as gel electrodes. The cardiograms were also taken at a smaller triangle than usual, only for the high resistance textile electrodes. The wet electrodes have executed considerably better clarity of PQR wavelets than reference gel electrodes ECG plots, and their performance was found consistent when tested after six months’ time leap. However, higher motion artifacts caused in the case of dry electrodes have resulted in distorted PQR wavelets and the tracing became worsen with increased testing time leap. This was mainly due to the encapsulation of conductive AgNPs in the air voids of the fabric, increased resistivity. The cardiogram quality has not shown peculiar benefit for a higher heart pumping pressure at the smaller triangle in either of the cases.


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