| Zugriffsnummer | 25351 |
| Dokumenttyp | Konferenzartikel |
| Sprache | Englisch |
| Titel | Discrimination of respirative and cardiac displacements from ultra-wideband radar data [poster] |
| Autor(in); Institution |
Kosch, Olaf; 8.1, Medizinische Messtechnik, PTB-Berlin
Thiel, Florian; 8.5, Metrologische Informationstechnik, PTB-Berlin
Yan, Dan Dan; 8.1, Medizinische Messtechnik, PTB-Berlin
Seifert, Frank; 8.1, Medizinische Messtechnik, PTB-Berlin
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| Quelle/Jahr | Proceedings of Biosignal 2010:(2010), 4 S. |
| Availability | [CD-ROM] |
| URL | |
| Verlag | Berlin: |
| Konferenzangaben | International Biosignal Processing Conference - Biosignal 2010, Berlin, 14-16, June, 2010, Germany |
| Freie Schlagworte | Heart rate ; UWB ; BSS ; ECG ; myocardial mechanic ; MRI |
| Zusammenfassung | We have applied ultra-wideband (UWB) radar for detection and monitoring of displacements inside the human body, which originate from respiration and cardiac function to provide complementary information, e.g. for cardiac magnetic resonance imaging (MRI). The conservation of high resolution (up to 300 µm) by high and ultra-high field MRI requires exact (precise) motion detection and correction to ensure the improved accuracy of this technique. The basic idea of UWB radar is to determine the distance or displacement of tissue boundaries by measuring the two-way propagation time of interface reflections of the transmitted electromagnetic UWB signal. However, the UWB radar data contain a linear combination of all the physiological movements, mainly respiration and cardiac motion. To extract beneficial information from UWB radar for cardiac MRI the decomposition of respiration and cardiac displacements is mandatory, since the MRI data have to be classified clearly to the state of respiration and the state of cardiac activity. Due to higher harmonics from the highly nonlinear respiratory cycle, the separation of the cardiac cycle by common signal filtering in the frequency domain is limited. Hence, we have applied the independent component analysis (ICA) with a number of signal channels corresponding to the delay of the detected field correlation function. The number of these artificial signal channels was limited to the delay times within the region of interest, e.g. the myocardium. By adding a second real radar channel that results in a more convenient condition for the solution of the ill-conditioned problem, we have achieved a further improvement in decomposition of respiratory and cardiac activity. The specific advantages of UWB radar are non-contact sensors and high temporal and spatial resolution, penetration into object, low integral power, and compatibility with established narrowband systems. The non-invasive, non-contact monitoring of human cardiopulmonary activity through bedding and clothing by UWB radar can enable the benefit of this technique in intensive care monitoring of patients with conditions that can be perturbed or worsened by contact sensors including neonates, infants at risk of sudden infant death syndrome, and burn victims. |
