Abstract: An apparatus for transporting a patient. The apparatus includes a supporting portion to grasp part of the body of a patient. A footboard unit is provided upon which the patient is able to stand when supported by the supporting portion, the footboard unit movable along a floor by movable means. A frame is connected between the footboard unit and the supporting portion. The apparatus is configured so that the footboard unit is able to move in proximity to a bed upon which the patient is lying, whereat the supporting portion can grasp the part of the body of the patient, wherein the frame and the supporting portion are able to support the patient in transitioning from a lying position on the bed to a standing position adjacent the bed as the footboard unit is moved relative to the bed.

Abstract: An apparatus for transporting a patient. The apparatus includes a supporting portion to grasp part of the body of a patient. A footboard unit is provided upon which the patient is able to stand when supported by the supporting portion, the footboard unit movable along a floor by movable means. A frame is connected between the footboard unit and the supporting portion. The apparatus is configured so that the footboard unit is able to move in proximity to a bed upon which the patient is lying, whereat the supporting portion can grasp the part of the body of the patient, wherein the frame and the supporting portion are able to support the patient in transitioning from a lying position on the bed to a standing position adjacent the bed as the footboard unit is moved relative to the bed.

Abstract: A computer implemented method and system is for training a subject's articulation. The system will receive, access and analyze the speech audio and video data of the subject. The data will be compared to standard speech audio and video data to calculate the deviation of the articulatory parameters between the recorded data of the subject and the standard data. The system will then deconstruct the speech unit and separately play the standard tongue movements, lip movements, jaw movements, and airstream generation. The system will then enable a gradual time converging of the initial separately played standard tongue movements, jaw movements, lip movements and airstream generation in response to a magnitude of the at least articulatory parameter deviation decreasing. Similarly, the system will adapt the display speed and the number of repetitions of these movements to optimize the articulation training.

Abstract: A computer implemented method and system is for training a subject's articulation. The system will receive, access and analyze the speech audio and video data of the subject. The data will be compared to standard speech audio and video data to calculate the deviation of the articulatory parameters between the recorded data of the subject and the standard data. The system will then deconstruct the speech unit and separately play the standard tongue movements, lip movements, jaw movements, and airstream generation. The system will then enable a gradual time converging of the initial separately played standard tongue movements, jaw movements, lip movements and airstream generation in response to a magnitude of the at least articulatory parameter deviation decreasing. Similarly, the system will adapt the display speed and the number of repetitions of these movements to optimize the articulation training.