Name
Abstract | ||
|---|---|---|
The performance of surgical robotic devices in real-time mainly depends on phase-delay in sensors and filtering process. A phase delay of 16 - 20 ms is unavoidable in these robotics procedures due to the presence of hardware low pass filter in sensors and pre-filtering required in later stages of cancellation. To overcome this phase delay, we employ multi-step prediction with band limited multiple Fourier linear combiner (BMFLC) and Autoregressive (AR) methods. Results show that the overall accuracy is improved by 60% for tremor estimation compared to single-step prediction methods in the presence of phase delay. Experimental results with the proposed methods for 1-DOF tremor estimation highlight the improvement. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EMBC.2013.6610689 | 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
phase delay,surgery,fourier series,estimation,real time systems,physiology,sensors,accuracy,vectors | Autoregressive model,Physiological tremor,Simulation,Computer science,Filter (signal processing),Electronic engineering,Fourier transform,Group delay and phase delay,Low-pass filter,Fourier series,Artificial intelligence,Robotics | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| K C Veluvolu | 1 | 0 | 0.34 |
| S Tatinati | 2 | 0 | 0.34 |
| S. M. Hong | 3 | 8 | 2.97 |
| W T Ang | 4 | 0 | 0.34 |