Abstract: Proposed are an apparatus and method for spinal surgery planning, the spinal surgery planning method including: acquiring a two-dimensional (2D) spinal image of a patient through a medical imaging apparatus; calculating a registration relationship between coordinates in an image space and coordinates in a surgical space by registering the image space for the spinal image and the surgical space where spinal surgery is performed on the patient; generating a virtual three-dimensional (3D) figure in the surgical space; projecting the 3D figure onto the spinal image based on the registration relationship; adjusting the 3D figure so that the 3D figure can correspond to a predetermined landmark on the spinal image; and setting an insertion position and insertion path of a spinal prosthesis based on the spinal image and the 3D figure.

Abstract: A system for planning pedicle screw fixation includes: a C-arm configured to capture a spinal image of a patient; an insertion path provider configured to provide an entry point and an insertion endpoint of a pedicle screw on a C-arm image; a registrator configured to calculate spatial coordinates of the entry point and the insertion endpoint based on a reference coordinate system; a guider configured to determine an insertion position of the pedicle screw based on the spatial coordinates of the entry point and the insertion endpoint, and guide a probe to be inserted toward the entry point according to the insertion positions; and a screw determiner configured to determine a length condition of the pedicle screw by obtaining coordinates of a start point at which the probe is inserted and becomes in contact with a bone.

Abstract: Proposed are an apparatus and method for spinal surgery planning, the spinal surgery planning method including: acquiring a two-dimensional (2D) spinal image of a patient through a medical imaging apparatus; calculating a registration relationship between coordinates in an image space and coordinates in a surgical space by registering the image space for the spinal image and the surgical space where spinal surgery is performed on the patient; generating a virtual three-dimensional (3D) figure in the surgical space; projecting the 3D figure onto the spinal image based on the registration relationship; adjusting the 3D figure so that the 3D figure can correspond to a predetermined landmark on the spinal image; and setting an insertion position and insertion path of a spinal prosthesis based on the spinal image and the 3D figure.

Abstract: A system for planning pedicle screw fixation includes: a C-arm configured to capture a spinal image of a patient; an insertion path provider configured to provide an entry point and an insertion endpoint of a pedicle screw on a C-arm image; a registrator configured to calculate spatial coordinates of the entry point and the insertion endpoint based on a reference coordinate system; a guider configured to determine an insertion position of the pedicle screw based on the spatial coordinates of the entry point and the insertion endpoint, and guide a probe to be inserted toward the entry point according to the insertion positions; and a screw determiner configured to determine a length condition of the pedicle screw by obtaining coordinates of a start point at which the probe is inserted and becomes in contact with a bone.

Abstract: A method of extracting facial movement information capable of effectively canceling noise includes: obtaining an image of a subject's face with a camera; extracting raw data on facial movement from the image; detecting macro movement data from the raw data; and removing the macro movement component from the raw data to obtain refined micro movement data.

Abstract: A method of extracting facial movement information capable of effectively canceling noise includes obtaining an image of a subject's face with a camera, extracting raw data on facial movement from the image, detecting macro movement data from the raw data, and removing the macro movement component from the raw data to obtain refined micro movement data.

Abstract: A social intimacy determining method includes detecting electrocardiogram (ECG) data from at least two subjects; detecting heart rhythm pattern (HRP) data from ECG signals of the two subjects; and determining a relationship (intimacy) between the two subjects by comparing the HRP data of the two subjects.

Abstract: A method of extracting heart information from a body micro-movement is provided. The method includes a face tracking step, a frame difference averaging step, smoothing filtering step, and a sliding peak detection step.

Abstract: A method for determining a social relationship includes detecting electrocardiogram (ECG) data from at least two subjects, detecting heart rhythm coherence (HRC) data from the ECG signals of the two subjects, and determining a relationship (intimacy) between the two subjects by comparing the HRC data of the two subjects.

Abstract: A method of extracting heart information from a body micro-movement is provided. The method includes a face tracking step, a frame difference averaging step, smoothing filtering step, and a sliding peak detection step.

Abstract: A social intimacy determining method includes detecting electrocardiogram (ECG) data from at least two subjects; detecting heart rhythm pattern (HRP) data from ECG signals of the two subjects; and determining a relationship (intimacy) between the two subjects by comparing the FIRP data of the two subjects.

Abstract: A method for determining a social relationship includes detecting electrocardiogram (ECG) data from at least two subjects, detecting heart rhythm coherence (HRC) data from the ECG signals of the two subjects, and determining a relationship (intimacy) between the two subjects by comparing the HRC data of the two subjects.