Biological Signal Measurement using Stretchable Dry Electrodes Printed on Textile Substrates

2016 ◽  
Vol 136 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Masahiro Inoue ◽  
Yasunori Tada ◽  
Yusaku Amano ◽  
Yosuke Itabashi ◽  
Tomonobu Sato ◽  
...  
Keyword(s):  
Biological Signal ◽  
Dry Electrodes ◽  
Signal Measurement

Consideration of Stretchable Dry Electrodes for Smart Shirts Aimed for Biological Signal Monitoring

2017 ◽  
Vol 137 (12) ◽  
pp. 426-431 ◽  
Author(s):  
Yusaku Amano ◽  
Yasunori Tada ◽  
Tomonobu Sato ◽  
Shigeru Saito ◽  
Masahiro Inoue
Keyword(s):  
Biological Signal ◽  
Dry Electrodes ◽  
Signal Monitoring

Consideration of Stretchable Dry Electrodes for Smart Shirts Aimed for Biological Signal Monitoring

2018 ◽  
Vol 203 (4) ◽  
pp. 63-71 ◽  
Author(s):  
YUSAKU AMANO ◽  
YASUNORI TADA ◽  
TOMONOBU SATO ◽  
SHIGERU SAITO ◽  
MASAHIRO INOUE
Keyword(s):  
Biological Signal ◽  
Dry Electrodes ◽  
Signal Monitoring

scholarly journals Textile Electrodes: Influence of Knitting Construction and Pressure on the Contact Impedance

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1578
Author(s):  
Luisa Euler ◽  
Li Guo ◽  
Nils-Krister Persson
Keyword(s):  
Smooth Surface ◽  
Research Field ◽  
Uneven Surface ◽  
Contact Impedance ◽  
Dry Electrodes ◽  
Textile Electrodes ◽  
Human Forearm ◽  
Wet Condition ◽  
Electrode Contact ◽  
Influencing Parameters

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”.

scholarly journals Underwater Signal Measurement and Transmission Experiment Equipment Design for LIDAR

2021 ◽  
Vol 783 (1) ◽  
pp. 012086
Author(s):  
Xianxing Li ◽  
Guoqing Zhou ◽  
Xiang Zhou ◽  
Gangchao Lin ◽  
Weihao Li ◽  
...  
Keyword(s):  
Equipment Design ◽  
Transmission Experiment ◽  
Signal Measurement

scholarly journals High-wearable EEG-based distraction detection in motor rehabilitation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrea Apicella ◽  
Pasquale Arpaia ◽  
Mirco Frosolone ◽  
Nicola Moccaldi
Keyword(s):  
Automated System ◽  
Pass Band ◽  
Motor Rehabilitation ◽  
Common Spatial Pattern ◽  
K Nearest Neighbors ◽  
Dry Electrodes ◽  
Wearable Eeg ◽  
Band Filter ◽  
Therapy Effectiveness ◽  
Supervised Classifiers

AbstractA method for EEG-based distraction detection during motor-rehabilitation tasks is proposed. A wireless cap guarantees very high wearability with dry electrodes and a low number of channels. Experimental validation is performed on a dataset from 17 volunteers. Different feature extractions from spatial, temporal, and frequency domain and classification strategies were evaluated. The performances of five supervised classifiers in discriminating between attention on pure movement and with distractors were compared. A k-Nearest Neighbors classifier achieved an accuracy of 92.8 ± 1.6%. In this last case, the feature extraction is based on a custom 12 pass-band Filter-Bank (FB) and the Common Spatial Pattern (CSP) algorithm. In particular, the mean Recall of classification (percentage of true positive in distraction detection) is higher than 92% and allows the therapist or an automated system to know when to stimulate the patient’s attention for enhancing the therapy effectiveness.

scholarly journals Dedicated Algorithm for Unobtrusive Fetal Heart Rate Monitoring Using Multiple Dry Electrodes

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4298
Author(s):  
Alessandra Galli ◽  
Elisabetta Peri ◽  
Yijing Zhang ◽  
Rik Vullings ◽  
Myrthe van der Ven ◽  
...  
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Processing System ◽  
Motion Artifacts ◽  
Accurate Estimation ◽  
Fetal Heart Rate Monitoring ◽  
Dry Electrodes ◽  
Textile Electrodes ◽  
Dry Electrode

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.

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