Methods for gastrointestinal endoscopy quantification: a focus on hands and fingers kinematics
UNIVERSAL IDENTIFIER: http://hdl.handle.net/11093/4180
EDITED VERSION: https://www.mdpi.com/1424-8220/22/23/9253
UNESCO SUBJECT: 1203.04 Inteligencia Artificial ; 3205.03 Gastroenterología ; 3311.10 Instrumentos Médicos
DOCUMENT TYPE: article
Gastrointestinal endoscopy is a complex procedure requiring the mastery of several competencies and skills. This procedure is in increasing demand, but there exist important management and ethical issues regarding the training of new endoscopists. Nowadays, this requires the direct involvement of real patients and a high chance of the endoscopists themselves suffering from musculoskeletal conditions. Colonoscopy quantification can be useful for improving these two issues. This paper reviews the literature regarding efforts to quantify gastrointestinal procedures and focuses on the capture of hand and finger kinematics. Current technologies to support the capture of data from hand and finger movements are analyzed and tested, considering smart gloves and vision-based solutions. Manus VR Prime II and Stretch Sense MoCap reveal the main problems with smart gloves related to the adaptation of the gloves to different hand sizes and comfortability. Regarding vision-based solutions, Vero Vicon cameras show the main problem in gastrointestinal procedure scenarios: occlusion. In both cases, calibration and data interoperability are also key issues that limit possible applications. In conclusion, new advances are needed to quantify hand and finger kinematics in an appropriate way to support further developments.
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