ArticleIEEE transactions on bio-medical engineering2013
Non-contact ECG sensing employing gradiometer electrodes.
Article in IEEE transactions on bio-medical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Development of Nanosensors Based Intelligent Packaging Systems: Food Quality and Medicine.Nanomaterials (Basel, Switzerland) · 2021Review
- The Effect of Electrode Designs Based on the Anatomical Heart Location for the Non-Contact Heart Activity Measurement.Journal of medical systems · 2015Article
- UnoViS: the MedIT public unobtrusive vital signs database.Health information science and systems · 2015Article
- Unobtrusive sensing and wearable devices for health informatics.IEEE transactions on bio-medical engineering · 2014Review
- Lower limb wearable capacitive sensing and its applications to recognizing human gaits.Sensors (Basel, Switzerland) · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Noncontact, capacitive electrocardiogram (ECG) measurements are complicated by motion artifacts from the relative movement between the ECG electrodes and the subject. To compensate for such motion we propose to employ first and second order gradiometer electrode designs. A MATLAB-based simulation tool to enable assessment of different electrode configurations and placements on human subjects has been developed to guide the refinement of electrode designs. Experimental measurements of the sensitivity, motion artifact cancellation, and common mode rejection for various prototype designs were conducted with human subjects. Second order gradiometer electrode designs appear to give the best performance as measured by signal to noise plus distortion ratio. Finally, both gradiometer designs were compared with standard ECG recording methods and showed less than 1% beat detection mismatch employing an open source beat detection algorithm.
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Registered trials
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