2014 Volume 50 Issue 8 Pages 616-621
We propose an algorithm to estimate the shape of the thoracic cavity using curvature sensors. Eight measurement points of curvature were identified and the thoracic shape was estimated using the proposed algorithm from this eight point curvature data. To compare these estimated shapes with those obtained from the CT images, we calculated eccentricity values ‘e’ in seven patients. The mean error in ‘e’ in these seven patients was 13.6%, indicating that the estimated shapes did not match well with the CT data. These results indicate that we may need to increase the number of curvature sensors as well as further refine our algorithm. However, we consider that due to its simplicity and ease of incorporation into EIT firmware, the proposed algorithm can be used in wearable EIT.
