2015
DOI: 10.1016/j.compbiomed.2015.07.016
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Quantitative measurements in capsule endoscopy

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Cited by 15 publications
(7 citation statements)
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References 94 publications
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“…For this purpose, a specifically designed, non-imaging wireless motility capsule (SmartPill, Medtronic plc, Dublin, Ireland) has been developed. Data from sensors measuring pH, pressure, and temperature are transmitted wirelessly for up to 5 d allowing diagnosis of gastroparesis, and prolonged transit times in the small bowel, colon or combined disorders[24-27]. …”
Section: Vce In Patients With Motility Disordersmentioning
confidence: 99%
“…For this purpose, a specifically designed, non-imaging wireless motility capsule (SmartPill, Medtronic plc, Dublin, Ireland) has been developed. Data from sensors measuring pH, pressure, and temperature are transmitted wirelessly for up to 5 d allowing diagnosis of gastroparesis, and prolonged transit times in the small bowel, colon or combined disorders[24-27]. …”
Section: Vce In Patients With Motility Disordersmentioning
confidence: 99%
“…The Medtronic system recognises that the capsule does not pass at a uniform speed through the gut and additionally provides information on the speed of travel at any point, by measuring the degree of change between successive images (the progress indicator). Several systems provide a two-dimensional image of a linear route map of the travel path of a radiofrequency-emitting capsule by triangulating signals detected by external sensors attached to different fixed sites on the anterior abdominal wall (55). An interesting study using radiofrequency triangulation around the abdominal wall to provide three-dimensional localization showed an average spatial error of 13.26 cm 3 when compared with plain radiography (anteroposterior and lateral abdominal radiographs) (56).…”
Section: Ce Reading Softwarementioning
confidence: 99%
“…For bleeding detection, color histograms with region growing [11], bag-of-visual-words [12], color wavelet features [13], and chrominance moments [14] have been applied in experimental settings. These methods rely on a single or a couple of image feature descriptors and their performance varies greatly when tested on full video sequences and open access datasets [15] . For polyps and lesions, similar types of feature descriptors such as color and texture [16] with second and higher order statistical measures [17], and other feature descriptors such as salient pixels and image transformation were applied.…”
Section: Introductionmentioning
confidence: 99%
“…Similar works proposed by [19] reveals a capacity for up to 85% frame reduction without loss of informative frames. However, evaluation of similar approaches on larger datasets indicates that the accuracy for detection of the most representative frames is rather low (66%) [15]. Most recently [6] proposed video summarization via similar-inhibition dictionary selection.…”
Section: Introductionmentioning
confidence: 99%