title: A Smart Capsule System for Automated Detection of Intestinal Bleeding Using HSL Color Recognition.
abstract: There are no ideal means for the diagnosis of intestinal bleeding diseases as of now, particularly in the small intestine. This study investigated an intelligent intestinal bleeding detection capsule system based on color recognition. After the capsule is swallowed, the bleeding detection module (containing a color-sensitive adsorptive film that changes color when absorbing intestinal juice,) is used to identify intestinal bleeding features. A hue-saturation-light color space method can be applied to detect bleeding according to the range of H and S values of the film color. Once bleeding features are recognized, a wireless transmission module is activated immediately to send an alarm signal to the outside; an in vitro module receives the signal and sends an alarm. The average power consumption of the entire capsule system is estimated to be about 2.1mW. Owing to its simplicity, reliability, and effectiveness, this system represents a new approach to the clinical diagnosis of intestinal bleeding diseases.
authors.affiliation: Key Laboratory of Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, PR China.
authors.forename: Panpan
authors.identifier: http://orcid.org/0000-0002-7722-2002
authors.initials: P
authors.lastname: Qiao
authors.affiliation: Key Laboratory of Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, PR China.|Chongqing Engineering Research Center of Medical Electronics, Chongqing, PR China.
authors.forename: Hongying
authors.initials: H
authors.lastname: Liu
authors.affiliation: Key Laboratory of Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, PR China.
authors.forename: Xueping
authors.initials: X
authors.lastname: Yan
authors.affiliation: Key Laboratory of Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, PR China.
authors.forename: Ziru
authors.initials: Z
authors.lastname: Jia
authors.affiliation: Key Laboratory of Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, PR China.|Key Laboratories for National Defense Science and Technology of innovative micro-nano devices and system technology, Chongqing University, Chongqing, PR China.
authors.forename: Xitian
authors.initials: X
authors.lastname: Pi
mesh_terms: D000465:Algorithms; D053704:Capsule Endoscopy / Q000379:methods*; D003116:Color; D006471:Gastrointestinal Hemorrhage / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007410:Intestinal Diseases / Q000175:diagnosis / Q000000981:diagnostic imaging; D007421:Intestine, Small / Q000098:blood supply / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*