Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Automatic detection of measurement points for non-contact vibrometer-based diagnosis of cardiac arrhythmias

: Metzler, Jürgen; Kroschel, K.; Willersinn, Dieter

Fulltext urn:nbn:de:0011-n-4586981 (15 MByte PDF)
MD5 Fingerprint: dc45b1640fcfa5b5bf686e4545272b71
Copyright Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Created on: 27.3.2018

Webster, Robert J. (Ed.) ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Medical Imaging 2017. Image-Guided Procedures, Robotic Interventions, and Modeling : 14-16 February 2017, Orlando, Florida, United States
Bellingham, WA: SPIE, 2017 (Proceedings of SPIE 10135)
ISBN: 9781510607156
ISBN: 9781510607163
Paper 101351S, 9 pp.
Conference "Image-Guided Procedures, Robotic Interventions, and Modeling" <2017, Orlando/Fla.>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
vibrocardiogram; laser Doppler vibrometry; contactless measurement; cardiac arrhythmia; vital function; heart rhythm; emergency medicine; premature baby care

Monitoring of the heart rhythm is the cornerstone of the diagnosis of cardiac arrhythmias. It is done by means of electrocardiography which relies on electrodes attached to the skin of the patient. We present a new system approach based on the so-called vibrocardiogram that allows an automatic non-contact registration of the heart rhythm. Because of the contactless principle, the technique offers potential application advantages in medical fields like emergency medicine (burn patient) or premature baby care where adhesive electrodes are not easily applicable. A laser-based, mobile, contactless vibrometer for on-site diagnostics that works with the principle of laser Doppler vibrometry allows the acquisition of vital functions in form of a vibrocardiogram. Preliminary clinical studies at the Klinikum Karlsruhe have shown that the region around the carotid artery and the chest region are appropriate therefore. However, the challenge is to find a suitable measurement point in these parts of the body that differs from person to person due to e. g. physiological properties of the skin. Therefore, we propose a new Microsoft Kinect-based approach. When a suitable measurement area on the appropriate parts of the body are detected by processing the Kinect data, the vibrometer is automatically aligned on an initial location within this area. Then, vibrocardiograms on different locations within this area are successively acquired until a sufficient measuring quality is achieved. This optimal location is found by exploiting the autocorrelation function.