A localization method for wireless capsule endoscopy using side wall cameras and IMU sensor

Localizing the endoscopy capsule inside gastrointestinal (GI) system provides key information which leads to GI abnormality tracking and precision medical delivery. In this paper, we have proposed a new method to localize the capsule inside human GI track. We propose to equip the capsule with four side wall cameras and an Inertial Measurement Unit (IMU), that consists of 9 Degree-Of-Freedom (DOF) including a gyroscope, an accelerometer and a magnetometer to monitor the capsule’s orientation and direction of travel. The low resolution mono-chromatic cameras, installed along the wide wall, are responsible to measure the actual capsule movement, not the involuntary motion of the small intestine. Finally, a fusion algorithm is used to combine all data to derive the traveled path and plot the trajectory. Compared to other methods, the presented system is resistive to surrounding conditions, such as GI nonhomogeneous structure and involuntary small bowel movements. In addition, it does not require external antenna or arrays. Therefore, GI tracking can be achieved without disturbing patients’ daily activities.

A Localization Method for Wireless Capsule Endoscopy Using Side Wall Cameras and IMU Sensor

Localizing the endoscopy capsule inside gastrointestinal (GI) system provides key information which leads to GI abnormality tracking and precision medical delivery. In this paper, we have proposed a new method to localize the capsule inside human GI track. We propose to equip the capsule with four side wall cameras and an Inertial Measurement Unit (IMU), that consists of 9 Degree-Of-Freedom (DOF) including a gyroscope, an accelerometer and a magnetometer to monitor the capsule’s orientation and direction of travel. The low resolution mono-chromatic cameras, installed along the wide wall, are responsible to measure the actual capsule movement, not the involuntary motion of the small intestine. Finally, a fusion algorithm is used to combine all data to derive the traveled path and plot the trajectory. Compared to other methods, the presented system is resistive to surrounding conditions, such as GI nonhomogeneous structure and involuntary small bowel movements. In addition, it does not require external antenna or arrays. Therefore, GI tracking can be achieved without disturbing patients’ daily activities.

Kinematics and workspace analysis of a robotic arm for medical delivery robots

For the control of the robot arm of a medical delivery robot, firstly, the forward kinematic equations of this 7-degree-of-freedom redundant robot arm are constructed according to a modified D-H method. Secondly, the analytical solution of the inverse kinematics of the redundant robotic arm is solved using the parameterised arm angle. Thirdly, kinematic simulation experiments were carried out by gazebo and RVIZ in ROS to verify the correctness of the forward and inverse kinematic solution process. Finally, the Monte Carlo method was used to generate the point cloud map of the workspace of the redundant robotic arm within the allowed range of joints, and the boundary points of the workspace were extracted, and the extracted boundary points were fitted with least squares curves to find the workspace of the robotic arm, which laid the foundation for future research directions such as motion control and path planning of medical delivery robots.