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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ortmaier, T. Groger, M. Boehm, D.H. Falk, V. Hirzinger, G. |
| Copyright Year | 1964 |
| Abstract | Minimally invasive beating-heart surgery offers substantial benefits for the patient, compared to conventional open surgery. Nevertheless, the motion of the heart poses increased requirements to the surgeon. To support the surgeon, algorithms for an advanced robotic surgery system are proposed, which offer motion compensation of the beating heart. This implies the measurement of heart motion, which can be achieved by tracking natural landmarks. In most cases, the investigated affine tracking scheme can be reduced to an efficient block matching algorithm allowing for realtime tracking of multiple landmarks. Fourier analysis of the motion parameters shows two dominant peaks, which correspond to the heart and respiration rates of the patient. The robustness in case of disturbance or occlusion can be improved by specially developed prediction schemes. Local prediction is well suited for the detection of single tracking outliers. A global prediction scheme takes several landmarks into account simultaneously and is able to bridge longer disturbances. As the heart motion is strongly correlated with the patient's electrocardiogram and respiration pressure signal, this information is included in a novel robust multisensor prediction scheme. Prediction results are compared to those of an artificial neural network and of a linear prediction approach, which shows the superior performance of the proposed algorithms. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 12 |
| File Size | 1141923 |
| Starting Page | 1729 |
| Ending Page | 1740 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 52 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion estimation Heart Minimally invasive surgery Surges Robustness Robots Motion compensation Motion measurement Tracking Motion analysis virtual immobilization Beating heart surgery motion compensation motion estimation robotic surgery tracking |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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