Capsule endoscopy first captivated the medical world when it provided a means to visualize the small bowel, which was previously out of endoscopic reach.
Hey-Long Ching+2 more
doaj +1 more source
Structural Dynamics and Evolution of Capsule Endoscopy (Pill Camera) Technology in Gastroenterologist Assertion [PDF]
This research paper examined and re-evaluates the technological innovation, theory, structural dynamics and evolution of Pill Camera (Capsule Endoscopy) technology in redirecting the response manner of small bowel (intestine) examination in human.
arxiv
Defining gastrointestinal transit time using video capsule endoscopy: a study of healthy subjects
Background and study aims Determining the etiology and location of gastrointestinal motility disorders can be challenging. A range of investigations targeting specific areas of gastrointestinal transit are available, but many provide clinical data for a ...
J. O’Grady+4 more
semanticscholar +1 more source
Ammonia Dynamics in the Human Body: Insights in Biomedical Sensing Technologies
Ammonia (NH3) is a significant biomarker in diagnostics, affecting the respiratory system, stomach, liver, kidneys, bladder, and gastrointestinal tract. NH3 detection, using sensors, has the potential to improve medical diagnosis. This review examines recent advancements in NH3 sensing technologies and explores future research directions, including ...
Annelot Nijkoops+8 more
wiley +1 more source
Novel wearable antenna systems for high datarate mobile communication in healthcare [PDF]
In critical healthcare applications, there is a need for reliable wideband mobile communication links, implemented by portable units with sufficient autonomy.
Agneessens, Sam+8 more
core +2 more sources
Artificial intelligence and deep learning for small bowel capsule endoscopy
Capsule endoscopy is ideally suited to artificial intelligence‐based interpretation given its reliance on pattern recognition in still images. Time saving viewing modes and lesion detection features currently available rely on machine learning algorithms,
R. Trasolini, M. Byrne
semanticscholar +1 more source
Novel Electroactive Therapeutic Platforms for Cardiac Arrhythmia Management
Electroactive platforms offer promising applications in cardiac arrhythmia. Based on their energy sources and mechanisms, electroactive platforms are categorized into i) direct electrical stimulation, ii) self‐powered electroactive systems, iii) physical stimuli‐mediated electroactive systems, and iv) conductive systems, and their applications in ...
Juwei Yang+4 more
wiley +1 more source
Laparoscopic resection of gastric GISTs. Where do we stand now? A single-centered experience [PDF]
Introduction. Gastrointestinal stromal tumors (GISTs) represent a rare type of gastrointestinal neoplasms. Resection with negative margins has been established as a mainstay treatment, but laparoscopic resections are still open to debate.
Alecu, Lucian+4 more
core +2 more sources
Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks [PDF]
Recent advances in capsule endoscopy systems have introduced new methods and capabilities. The capsule endoscopy system, by observing the entire digestive tract, has significantly improved diagnosing gastrointestinal disorders and diseases. The system has challenges such as the need to enhance the quality of the transmitted images, low frame rates of ...
arxiv