A Novel Biopsy Capsule Robot Based on High-Speed Cutting Tissue

Author:

Song Zhibin1,Zhang Wenjie1ORCID,Zhang Wenhui2,Paolo Dario13

Affiliation:

1. Key Laboratory of Mechanism Theory and Equipment Design of the Ministry of Education, Tianjin University, Tianjin 300072, China

2. Beijing Shijitan Hospital, Capital Medical University, Beijing 100084, China

3. The BioRobotics Institute, Scuola Superiore Sant’Anna, 56100 Pisa, Italy

Abstract

The capsule robot (CR) is a promising endoscopic method in gastrointestinal diagnosis because of its low discomfort to users. Most CRs are used to acquire image information only and lack the ability to collect samples. Although some biopsy capsule robots (BCRs) have been developed, it remains challenging to acquire the intestinal tissue while avoiding tearing and adhesion due to the flexibility of colonic tissue. In this study, we develop a BCR with a novel sampling strategy in which soft tissue is scratched with sharp blades rotating at high speed to avoid tissue tearing. In the BCR design, a spiral spring with prestored energy is used to release high energy within a short period of time, which is difficult for a motor or magnet to perform within a small capacity installation space. The energy of the tightened spiral spring is transmitted to drive sharp blades to rotate quickly via a designed gear mechanism. To guarantee reliable sampling, a Bowden cable is used to transmit the user’s manipulation to trigger the rotation of the blades, and the triggering force transmitted by the cable can be monitored in real time by a force sensor installed at the manipulating end. A prototype of the proposed BCR is designed and fabricated, and its performance is tested through in vitro experiments. The results show that the proposed BCR is effective and the size of its acquired samples satisfies clinical requirements.

Funder

National Natural Science Foundation of China

China National Key Research and Development Project

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Applied Mathematics,General Mathematics

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