Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 70, Issue 2, Pages 423-435Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2022.3193115
Keywords
Anhydrous carbon paste electrodes; long-term monitoring; physiological signals
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Long-term physiological signal monitoring is crucial for diagnosing health conditions that occur randomly and are not easily detected during short hospital visits. However, the quality of signals obtained by conventional wet electrodes degrades over time due to gradual dehydration. This study proposes the use of an anhydrous carbon paste electrode (CPE) composed of carbon black and polydimethylsiloxane to enable long-term monitoring without signal quality degradation. Compared to wet electrodes, the CPE showed more stable skin-electrode impedance and higher signal qualities for ECG, EMG, EEG, and ABR measurements over a period of 48 days.
Long-term physiological signal monitoring is very important for the diagnosis of health conditions that occur randomly and cannot be easily detected by a short period of a hospital visit. However, the conventional wet electrodes suffered from the problem of signal quality degradation due to the gradual dehydration of the conductive gel. An anhydrous carbon paste electrode (CPE) constructed by a composite of carbon black and polydimethylsiloxane was proposed to enable long-term physiological signal monitoring without signal quality degradation as time elapses. The performance was systematically compared with conventional electrodes when measuring long-term physiological signals including electrocardiogram (ECG), electromyogram (EMG), electroencephalogram (EEG) and auditory brainstem response (ABR). The proposed CPE showed more stable skin-electrode impedance and higher signal qualities as the monitoring time increased up to 48 days, with signal-to-noise ratios (SNRs) of 16.43 +/- 10.39 dB higher for ECG and 24.30 +/- 7.79 dB higher for EMG when compared with wet electrodes. The CPE method could also obtain more consistent ABR waveform morphologies and could measure EEG under sweating conditions. It is believed that the proposed CPE could be a potential candidate for durable and robust wearable sensors systems on long-term physiological signal monitoring.
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