Abstract: The present disclosure provides a positioning method for head and neck assessment comprising positioning a probe to the head and neck structures of a subject according to reference planes defined by light beams.

Abstract: The present disclosure provides a positioning method for head and neck assessment comprising positioning a probe to the head and neck structures of a subject according to reference planes defined by light beams.

Abstract: A method adapted to diagnose airway obstruction in a subject is disclosed. The method comprises the following steps: providing plural cross-sectional ultrasound images of a region of the respiratory tract during the subject's normal breathing, wherein each ultrasound image has plural pixels and each pixel has a color scale value; selecting a region of interest in each ultrasound image; calculating a respective first statistic value. The pixels in each of the region of interest are identified to define a respective airspace region by the color scale values larger than or equal to the respective first statistic value. A respective width of the respiratory tract is calculated and based on the distribution of the pixels in the respective airspace region. The status about an airway obstruction in the subject is classified according to the second statistic value obtained by the calculation of the widths of the respiratory tract.

Abstract: The present invention provides a positioning apparatus for head and neck assessment comprising a base, a head fixation assembly including a main body, a guide and an ear aligning member, a first connector pivotally connected to a lateral end of the main body, a first light transmitter, and a holder assembly including an adjustable first stand secured to the base and a holder for holding a medical device for the assessment or intervention, pivotally connected to the first stand.

Abstract: A method adapted to diagnose airway obstruction in a subject is disclosed. The method comprises the following steps: providing plural cross-sectional ultrasound images of a region of the respiratory tract during the subject's normal breathing, wherein each ultrasound image has plural pixels and each pixel has a color scale value; selecting a region of interest in each ultrasound image; calculating a respective first statistic value. The pixels in each of the region of interest are identified to define a respective airspace region by the color scale values larger than or equal to the respective first statistic value. A respective width of the respiratory tract is calculated and based on the distribution of the pixels in the respective airspace region. The status about an airway obstruction in the subject is classified according to the second statistic value obtained by the calculation of the widths of the respiratory tract.