Abstract
Long-term ambulatory monitoring of the fetal heart rate (fHR) can greatly increase insight into fetal well-being and reduce pregnancy risks. Unfortunately, the existing solutions using wet or dry electrodes are unsuitable for long-term fHR monitoring due to the use of a gel or direct skin contact. Capacitive electrodes can measure an electrocardiographic (ECG) signal through clothes and, therefore, are perfectly suitable for long-term monitoring of the fHR. However, capacitive fetal ECG (fECG) measurements are challenging due to the high sensitivity of capacitive sensors to motion artifacts (MAs) and the low amplitude of the fECG. This article aims at investigating the feasibility of fECG measurements using capacitive electrodes with dedicated postprocessing algorithms for signal-to-noise ratio (SNR) improvement and MA reduction. To this end, a novel simulator of the full measurement chain is realized that generates multichannel capacitive fECG data with artificial MAs and system noise. A dedicated blind source separation (BSS) algorithm is then employed for MA removal and fECG extraction. The extracted fECG is evaluated by SNR calculation and R-peak detection. Our results show that the BSS algorithm may extract the fECG signal from noisy capacitive data. In addition, lower system noise or higher number of channels may lead to better fECG extraction. A maximum increase of 0.5 dB in the SNR and decrease of 80.7 % in the R-peak detection error are observed with increased electrode number from 8 to 20. Our findings provide useful insights for the hardware design of a capacitive fECG measurement system.
| Original language | English |
|---|---|
| Article number | 8873661 |
| Pages (from-to) | 4348-4357 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 69 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2020 |
Funding
In 2011, he was a recipient of a Starting Grant from the European Research Council for his research on angiogenesis imaging. He is the Chairman of the IEEE EMBS Benelux Chapter. Manuscript received August 25, 2019; accepted September 30, 2019. Date of publication October 17, 2019; date of current version June 9, 2020. This work was supported by a grant from the Dutch Technology Foundation STW, which is entitled Applied and Engineering Sciences in the new NWO Domain after January 1, 2017. The Associate Editor coordinating the review process was Vedran Bilas. (Corresponding author: Lin Xu.) L. Xu is with the School of Information Science, ShanghaiTech University, Shanghai 201210, China (e-mail: [email protected]).
Keywords
- Ambulatory monitoring
- blind source separation (BSS)
- capacitive electrode
- fetal electrocardiography
- motion artifacts (MAs)
- simulation
- unobtrusive