Name
Title | ||
|---|---|---|
Conditions for reliable grip force and jaw angle estimation of da Vinci surgical tools. |
Abstract | ||
|---|---|---|
Our estimation technique, along with important training criteria, is presented herein to further improve the literature pertaining to grip force estimation. We propose the training criteria to begin establishing bounds on the applicability of estimation techniques used for grip force estimation for eventual translation into clinical practice. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11548-018-1866-8 | International journal of computer assisted radiology and surgery |
Keywords | Field | DocType |
Grip force estimation,Surgical robotics,Artificial neural network | Computer vision,Surgical robotics,Artificial intelligence,Artificial neural network,Medicine,Grip force | Journal |
Volume | Issue | ISSN |
14 | 1 | 1861-6429 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Trevor K Stephens | 1 | 0 | 0.34 |
| John J. O'Neill | 2 | 4 | 1.17 |
| Nathan J Kong | 3 | 0 | 0.34 |
| Mark V Mazzeo | 4 | 0 | 0.34 |
| Jack Norfleet | 5 | 14 | 2.38 |
| Robert M. Sweet | 6 | 11 | 6.45 |
| Timothy M Kowalewski | 7 | 18 | 6.48 |