Dry electrode bio-potential recordings

Bifulco, Paolo; McEwan, Alistair; Tehrani, Joubin Nasehi; Calvo, Rafael A.; Romano, Maria; Ruffo, M.; Shephard, Richard; Cesarelli, Mario; Jin, Craig; Mohamed, Armin; Schaik, André van

doi:10.1109/iembs.2010.5627359

Cited by 29 publications

(24 citation statements)

References 14 publications

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“…For the SSVEPs paradigm, the average temporal crosscorrelation between semi-dry/wet electrodes was 0.937 ± 0.027 (n=10) across the nine recording electrode pairs with ten subjects, with the highest at Oz (0.993) and the lowest at C3 (0.904) ( Figure 10B). The correlation results suggest that signals of the semi-dry and wet electrodes pairs were highly similar, and the correlation coefficients of all positions matches or exceeds the reported levels of most existing dry electrodes, ranging from 0.32 to 0.94 [17,25,36,[41][42][43][44][45]. Furthermore, the correlation coefficients of all positions were around 0.9, suggesting that the semi-dry electrodes' performances were robust against factors such as hair thickness.…”

Section: Eeg Signal Evaluationsupporting

confidence: 75%

Novel passive ceramic based semi-dry electrodes for recording electroencephalography signals from the hairy scalp

Zhang

Wang

et al. 2016

Sensors and Actuators B: Chemical

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This study reports on a novel passive ceramic-based semi-dry electrode prototype for electroencephalography (EEG) applications. With the help of capillary forces of the porous ceramics pillars, the semi-dry electrodes build a stable electrode/scalp interface by penetrating hair and releasing a small amount saline in a controlled and sustained manner. The semi-dry electrode/scalp impedances were low and stable (44.4 ± 16.9 kΩ, n=10), and the variation between nine different positions was less 5 kΩ. The semi-dry electrodes have shown non-polarization characteristics and the maximum difference of equilibrium potential between eight electrodes was 579 μV. The semi-dry electrodes demonstrated long-term stability, and the impedance only increased by 20 kΩ within 8 h. EEG signals were simultaneously recorded using a 9-channel gel-based electrode and semi-dry electrode arrays setup on ten subjects. The average temporal cross-correlation between them in the eyes open/closed and the steady state visually evoked potentials (SSVEPs) paradigm were 0.938 ± 0.037 and 0.937 ± 0.027 respectively. Spectral analyses revealed similar response patterns with expected functional responses. Together with the advantages of quick setup, self-application and cleanliness, the result suggests the semi-dry electrode is suitable for emerging real-world EEG applications, such as braincomputer interfaces and wearable EEGs.

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Section: Eeg Signal Evaluationsupporting

confidence: 75%

Novel passive ceramic based semi-dry electrodes for recording electroencephalography signals from the hairy scalp

Zhang

Wang

et al. 2016

Sensors and Actuators B: Chemical

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“…During or after physical activity some ECG parameters [17] can result modified and this may complicate individuals' identification. Other difficulties can arise using different devices or sensors, particularly with dry electrodes [18][19][20][21] frequently used to allow more pervasive and userfriendly applications [22,23]. Relative motion between patient and electrodes (but also if an individual is subjected to vibration for example in a vehicle [24]) can generate large artifacts in bioelectric recordings that should be appropriately processed [25,26].…”

Section: Discussionmentioning

confidence: 99%

Individual identification using electrocardiogram morphology

Fratini

Sansone

Bifulco

et al. 2013

2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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The use of electrocardiogram as biometric has raised attention in the last decade and a wide variety of ECG features were explored to verify the feasibility of such a signal. In this work the authors aim to describe a simple template based approach to the electrocardiographic biometric identification using the morphology of individual's heartbeat. The developed algorithm was tested on different recordings made available in the Physionet public database Fantasia: two different sets of heartbeats were extracted from individual recordings one was used for the template building while the second for the tests. The performances of the algorithm are encouraging with a true acceptance rate of 99.4%, however, the procedure needs to be tested on different recordings of the same individual, or during the course of a whole day or physical activity

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“…We have found that pregnancy may be detected using solely ECG or PCG [27] but that by combining these modalities we improve the sensitivity, specificity and reduce the time required for pregnancy detection. The device we have developed is held by the operator and applied to the flank of the animal with sufficient pressure to ensure adequate contact by both ECG and PCG sensors.…”

Section: Discussionmentioning

confidence: 99%

Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing

Shephard¹,

Tapson

McEwan

et al. 2012

BMC Vet Res

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BackgroundPregnancy testing in cattle is commonly invasive requiring manual rectal palpation of the reproductive tract that presents risks to the operator and pregnancy. Alternative non-invasive tests have been developed but have not gained popularity due to poor specificity, sensitivity and the inconvenience of sample handling. Our aim is to present the pilot study and proof of concept of a new non invasive technique to sense the presence and age (limited to the closest trimester of pregnancy) of the foetus by recording the electrical and audio signals produced by the foetus heartbeat using an array of specialized sensors embedded in a stand alone handheld prototype device. The device was applied to the right flank (approximately at the intercept of a horizontal line drawn through the right mid femur region of the cow and a vertical line drawn anywhere between lumbar vertebrae 3 to 5) of more than 2000 cattle from 13 different farms, including pregnant and not pregnant, a diversity of breeds, and both dairy and beef herds. Pregnancy status response is given “on the spot” from an optimized machine learning algorithm running on the device within seconds after data collection.ResultsUsing combined electrical and audio foetal signals we detected pregnancy with a sensitivity of 87.6% and a specificity of 74.6% for all recorded data. Those values increase to 91% and 81% respectively by removing files with excessive noise (19%).Foetus ageing was achieved by comparing the detected foetus heart-rate with published tables. However, given the challenging farm environment of a restless cow, correct foetus ageing was achieved for only 21% of the correctly diagnosed pregnant cows.ConclusionsIn conclusion we have found that combining ECG and PCG measurements on the right flank of cattle provides a reliable and rapid method of pregnancy testing. The device has potential to be applied by unskilled operators. This will generate more efficient and productive management of farms. There is potential for the device to be applied to large endangered quadrupeds in captive breeding programs where early, safe and reliable pregnancy diagnosis can be imperative but currently difficult to achieve.

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Dry electrode bio-potential recordings

Cited by 29 publications

References 14 publications

Novel passive ceramic based semi-dry electrodes for recording electroencephalography signals from the hairy scalp

Novel passive ceramic based semi-dry electrodes for recording electroencephalography signals from the hairy scalp

Individual identification using electrocardiogram morphology

Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing

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