No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Mehrkanaliges EKG-Messsystem mit kapazitiver Patientenankopplung
... Alternative dry sensor concepts aim to avoid preparation and additive-specific problems by enabling dry-contact or even non-contact signal acquisition, thus dramatically simplifying application. Non-contact approaches include fully capacitive [3],[4] as well as opto-electric sensors [5]. They require extensive electronics and are highly susceptible to relative movements. ...
Conventional Silver/Silver-Chloride electrodes are inappropriate for routine high-density EEG and emerging new fields of application like brain computer interfaces. A novel multipin electrode design is proposed. It enables rapid and easy application while maintaining signal quality and patient comfort. The electrode design is described and impedance and EEG tests are performed with Titanium and Titanium Nitride coated electrodes. The results are compared to conventional reference electrodes in a multi-volunteer study. The calculated signal parameters prove the multipin electrode concept to reproducibly acquire EEG signal quality comparable to Ag/AgCl electrodes. The promising results encourage further investigation and can provide a technological base for future preparation-free multichannel EEG systems.
Capacitive ECG sensing allows acquiring an ECG, even through clothing. Due to its simple handling it is suitable for unsupervised monitoring. However, because capacitively coupled signals may differ from conventional ECGs, direct application of algorithms for parameter extraction to capacitive ECGs still needs to be analyzed. This paper analyzes the applicability of algorithms for ECG segmentation to capacitive ECG measurements. Data from a medical study with 107 subjects, where conventional and capacitive ECG were recorded simultaneously, was used for a two step parameter extraction by means of multi-scale morphological derivative transform and time-frequency analysis based algorithms. RR interval, QT interval, PQ interval and QRS duration resulting from the capacitive ECG were calculated by means of the algorithms and compared to the manually annotated data from the reference ECG. RR intervals were computed by the algorithms appropriately (mean deviation: 50 ms), calculation of QT interval, PQ interval and QRS duration yielded mean deviations of 60, 20, and 30 ms respectively. Differences of the mean value of QT duration for subjects with sinus rhythm and atrial fibrillation (p = 0.0414) and the QRS duration for patients with and without bundle branch block (p = 0.05) could be observed. An algorithmic detection of the RR intervals and the detection of heart rhythm disturbances in capacitive ECG signals are possible. Reasons for the deviation of QT interval, QT and QRS duration are deformations of the capacitive ECG signal. Their reasons should be reconsidered before unsupervised monitoring by means of capacitive ECG is possible.
ResearchGate has not been able to resolve any references for this publication.