Metal Industries Research & Development Centre

Kaohsiung Veterans General Hospital

Ming-Hui Cheng

Tzyy-Ker Sue

Tsung-Chih Yu

Bo-Wei Pan

Ming-Hui Chen

Yen-Chun Chen

Chiu-Feng Lin

Yu-Fen Kuo

Yan-Jun Chen

Chun-Sen Wu

Hsuan-Chih Lin

Po-Wei Pan

Ko-Long Lin

The system includes a stand surrounding a working area, a signal detector receiving a signal generated by the wire, and a positioning module disposed on the stand. The positioning module is configured to drive the signal detector moving forward and backward on a two-dimensional plane in the working area. The system also includes a computer system electrically connected to the signal detector and the positioning module. The compute system receives the signal from the signal detector, generates position information according to the signal, and transmits the position information to the positioning module, such that the positioning module moves the signal detector to a position corresponding to a position of the wire in the blood vessel according to the position information.

System and method for tracking signal of wire in a blood vessel

A muscle power detection device and a muscle power detection method for detecting and classifying a muscle power status of a subject are provided. The muscle power detection device includes an inertia measurement unit, a pressure detection unit and a processing unit. The inertia measurement unit is configured to be arranged at a part of the subject and to obtain inertial data corresponding to the part of the subject according to movement status of the part of the subject. The pressure detection unit is configured to detection external force applied on the part of the subject to obtain pressure data. The processing unit is configured to perform an operation on the inertial data and the pressure data for obtaining evaluation values, and to obtain muscle power information corresponding to the part of the subject according to the evaluation values.

Muscle power detection device and method for muscle power classification

The present invention discloses a method for finding a cell nucleus of a target cell from a cell image, wherein the cell image includes the target cell and at least one variation cell, and the target cell includes cytoplasm and the cell nucleus. The method includes steps of: (a) processing the cell image via an image processor such that the cytoplasm, the cell nucleus and the variation cell have different shades of color; (b) demarcating the outlines of the cytoplasm, the cell nucleus and the variation cell; (c) calculating geometrical reference points of the outlines; (d) calculating the distances from the geometrical reference point of the cytoplasm outline to the geometrical reference point of the cell nucleus outline and to the geometrical reference points of the variation cell outlines; and (e) finding a specific geometrical reference point having a shortest distance to locate a specific outline corresponding to the specific geometrical reference point as the cell nucleus.

Device and method for finding cell nucleus of target cell from cell image

The present invention discloses a method for detecting whether cells are infected with human papillomavirus (HPV), and the method includes: (a) capturing a contour of a cell of a cell image, wherein the contour has a contour pixel thereon; (b) identifying a tangent of the contour pixel on the contour to define in relation to the tangent a first side and a second side opposite to the first side, wherein the first side indicates the intracellular region of the cell and the second side indicates the extracellular region of the cell; (c) calculating an optical parameter average of the plurality of pixels on both of the first side and the second side; and (d) determining whether the cell is infected with HPV based on whether the optical parameter average on the first side is smaller than that on the second side.

Apparatus for detecting cells being infected with human papillomavirus (HPV) and a detection method therefor

Growing community of inventors

Kaohsiung, Taiwan

Ming-Hui Cheng