A knee brace comprises a medial hinge device and a lateral hinge device each including an upper arm configured to be attached to a thigh, and a lower arm configured to be attached to a shank. An assembly joins free ends of the upper arm and of the lower arm in each of the medial hinge device and the lateral hinge device, the assembly of each of the medial hinge device and the lateral hinge device including an operative set of pivot and pivot slot, and another operative set of follower and at least one follower slot. The assemblies of the medial hinge device and a lateral hinge are configured to induce a corrective constraint on leg movement. A system for generating a knee brace customized to a patient is also provided.

A knee brace comprises a medial hinge device and a lateral hinge device each including an upper arm configured to be attached to a thigh, and a lower arm configured to be attached to a shank. An assembly joins free ends of the upper arm and of the lower arm in each of the medial hinge device and the lateral hinge device, the assembly of each of the medial hinge device and the lateral hinge device including an operative set of pivot and pivot slot, and another operative set of follower and at least one follower slot. The assemblies of the medial hinge device and a lateral hinge are configured to induce a corrective constraint on leg movement. A system for generating a knee brace customized to a patient is also provided.

A noninvasive method and system for sleep apnea detection is disclosed. The method includes the following steps: acquiring vital sign signals of a sleeping user; performing structured processing on the vital sign signals of the user to remove invalid signals to obtain a set of valid vital sign signals; extracting multi-dimensional morphological features from a sleep respiratory signal and performing feature training on an initial model of a classifier by means of the multi-dimensional morphological features so as to obtain a sleep breathing detection model; and inputting the set of valid vital sign signals into the sleep breathing detection model and performing signal processing to obtain predicted probability of the user suffering from sleep apnea. As a result, data relating to the probability of a user suffering from sleep apnea can be more accurately obtained, thereby facilitating the determination of whether a sleep apnea event occurs during sleep.

Presented are concepts for initialising a model for model-based segmentation of an image which use specific landmarks (e.g. detected using other techniques) to initialize the segmentation mesh. Using such an approach, embodiments need not be limited to predefined model transformations, but can initialise a segmentation mesh with arbitrary shape. In this way, embodiments may provide for an image segmentation algorithm that not only delivers a robust surface-based segmentation result but also does so for strongly varying target structure variations (in terms of shape).

Presented are concepts for initialising a model for model-based segmentation of an image which use specific landmarks (e.g. detected using other techniques) to initialize the segmentation mesh. Using such an approach, embodiments need not be limited to predefined model transformations, but can initialise a segmentation mesh with arbitrary shape. In this way, embodiments may provide for an image segmentation algorithm that not only delivers a robust surface-based segmentation result but also does so for strongly varying target structure variations (in terms of shape).

An optical based method determines the most clinically effective antimicrobial agent treatment for a subject afflicted with a microbial infection, including those subjects that have developed resistance to said microbial agents. The provided method is based on the ability to discriminate between live and dead microbes growing in a culture medium.

An optical based method determines the most clinically effective antimicrobial agent treatment for a subject afflicted with a microbial infection, including those subjects that have developed resistance to said microbial agents. The provided method is based on the ability to discriminate between live and dead microbes growing in a culture medium.

The present invention relates to a patient transfer training system (200), comprising: a sheet (210); a processing unit (220); and a plurality of indicator devices (230). The sheet is configured to be carried by at least one person during transfer of a simulated patient from one area to another area of a medical establishment. The system is configured to generate information relating to support and position of the simulated patient during the transfer. The processing unit is configured to determine a required change in support and/or a required change in position of the simulated patient during the transfer. The determination comprises utilization of the information relating to support and position of the simulated patient during the transfer. The processing unit is configured to control one or more of the plurality of indicator devices to provide instructional information to one or more of the at least one person comprising utilization of the information relating to the required change in support and/or the required change in position of the simulated patient during the transfer.

The present invention relates to a patient transfer training system (200), comprising: a sheet (210); a processing unit (220); and a plurality of indicator devices (230). The sheet is configured to be carried by at least one person during transfer of a simulated patient from one area to another area of a medical establishment. The system is configured to generate information relating to support and position of the simulated patient during the transfer. The processing unit is configured to determine a required change in support and/or a required change in position of the simulated patient during the transfer. The determination comprises utilization of the information relating to support and position of the simulated patient during the transfer. The processing unit is configured to control one or more of the plurality of indicator devices to provide instructional information to one or more of the at least one person comprising utilization of the information relating to the required change in support and/or the required change in position of the simulated patient during the transfer.

A method for ranking an unmeasured feature for an instance given at least one feature is measured is provided. The method includes imputing a first value to the unmeasured feature in the instance while holding the other remaining unmeasured features constant and evaluating a first outcome with a model using the first value in the instance. The method includes imputing a second value to the unmeasured feature in the dataset while holding the other remaining unmeasured features constant, evaluating a second outcome with the model using the second value in the instance, and determining a statistical parameter with the first outcome and the second outcome. The method also includes assigning the unmeasured feature a ranking corresponding to the determined statistical parameter. A system and a non-transitory, computer readable medium storing instructions to perform the above method are also presented.