期刊
FRONTIERS IN NEUROSCIENCE
卷 16, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2022.900146
关键词
wearable biosensors system; flexible non-contact electrode; electrocardiogram; monitoring; motion
资金
- National Natural Science Foundation of China [81927804, 62101538]
- Shenzhen Governmental Basic Research Grant [JCYJ20180507182241622]
- Science and Technology Planning Project of Shenzhen [JSGG20210713091808027, JSGG20211029095801002]
- SIAT Innovation Program for Excellent Young Researchers [E1G027]
Electrocardiogram (ECG) is a critical physiological indicator that contains abundant information about human heart activities. By introducing wearable biosensors (WBS) technique, a flexible non-contact electrode is proposed, which can monitor the ECG signals during exercise for a long time and obtain high-quality signals.
Electrocardiogram (ECG) is a critical physiological indicator that contains abundant information about human heart activities. However, it is a kind of weak low-frequency signal, which is easy to be interfered by various noises. Therefore, wearable biosensors (WBS) technique is introduced to overcome this challenge. A flexible non-contact electrode is proposed for wearable biosensors (WBS) system, which is made up of flexible printed circuits materials, and can monitor the ECG signals during exercise for a long time. It uses the principle of capacitive coupling to obtain high-quality signals, and reduces the impact of external noise through active shielding; The results showed that the proposed non-contact electrode was equivalent to a medical wet electrode. The correlation coefficient was as high as 99.70 +/- 0.30% when the subject was resting, while it was as high as 97.53 +/- 1.80% during exercise. High-quality ECG could still be collected at subjects walking at 7 km/h. This study suggested that the proposed flexible non-contact electrode would be a potential tool for wearable biosensors for medical application on long-term monitoring of patients' health and provide athletes with physiological signal measurements.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据