Abstract: A plaque detection method and apparatus wherein at least one processor is programmed to receive above focus images to detect the presence of live cells without detecting the lysed cell materials, receive below focus images wherein virtual dark regions exist which are similar to cell shadows as seeds in a segmentation process and use contours around each resulting shape to obtain a subset that are more likely to be part of the cell population to define a cell map. A distance map is created in which each pixel value is the distance of that pixel from the nearest pixel of the cell map and the distance map is thresholded to create a first image of the places which are relatively far from the cells a second image with a smaller distance threshold to get an image that mimics the edges of the cells.

Abstract: The embodiments herein relate to electronic learning (“eLearning”) systems and methods. The systems include at least one server, a plurality of computers in data communication with the at least one server, the computers being usable by educational providers, learners, employers and accreditors to connect to the server, wherein the server is configured to receive educational provider information from the educational providers, the educational provider information for each of the educational providers including learning opportunity information associated with at least one learning opportunity.

Abstract: According to some embodiments, a system for providing guided instructional design. The system includes at least one processing device and at least one data storage device in communication with the at least one processing device. The at least one data storage device is configured to store information about at least one course. For each course, the at least one processing device is configured to present at least one predetermined course component to a first user, and for the at least one course component: present at least one course parameter, receive at least one first input from the first user in relation to the at least one course parameter, based on the at least one first input and at least one educational design element, present at least one modified course parameter to the first user; and receive at least one second input from the first user in relation to the at least one modified course parameter.

Abstract: According to some embodiments, a system for providing guided instructional design. The system includes at least one processing device and at least one data storage device in communication with the at least one processing device. The at least one data storage device is configured to store information about at least one course. For each course, the at least one processing device is configured to present at least one predetermined course component to a first user, and for the at least one course component: present at least one course parameter, receive at least one first input from the first user in relation to the at least one course parameter, based on the at least one first input and at least one educational design element, present at least one modified course parameter to the first user; and receive at least one second input from the first user in relation to the at least one modified course parameter.

Abstract: Systems and methods for stimulating a spinal nerve root of an S1 nerve of a patient involve advancing a treatment device lateral to a thecal sac, through a spinal canal, and into and through an S1 foramen of a sacral vertebral body of the patient. A distal portion of an electrode region is disposed anterior to an anterior border of the sacral vertebral body. Electrical stimulation is delivered from the electrode region to a treatment location disposed on a spinal nerve root of an S1 nerve, distal to a dorsal root ganglion of the S1 nerve, distal to a dorsal ramus of the S1 nerve, and adjacent to an entry zone of a gray rami communicans of the S1 nerve. Delivery of electrical stimulation modulates visceral afferent fibers and postganglionic sympathetic neurons at the treatment location. Treatments can be provided to patients presenting with peripheral vascular disease and other conditions.

Abstract: According to some aspects there is provided a learning system including at least one capture device for monitoring activity of at least one learner and at least one processor configured to: monitor the activity of the at least one learner during a learning event using the at least one capture device to generate learner activity data associated with the at least one learner; generate learner engagement data based upon the learner activity data associated with of the at least one learner, the learner engagement data being indicative of how engaged the learner is during the learning event; generate at least one learner engagement report based upon the learner engagement data; and provide the at least one learner engagement report to a computing device associated with an instructor.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: According to some aspects there is provided a learning system including at least one capture device for monitoring activity of at least one learner and at least one processor configured to: monitor the activity of the at least one learner during a learning event using the at least one capture device to generate learner activity data associated with the at least one learner; generate learner engagement data based upon the learner activity data associated with of the at least one learner, the learner engagement data being indicative of how engaged the learner is during the learning event; generate at least one learner engagement report based upon the learner engagement data; and provide the at least one learner engagement report to a computing device associated with an instructor.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.

Abstract: Embodiments described herein are directed to an annotation system having a remote processor, and a client processor in data communication with the remote processor. The client processor is adapted to send a first request for an electronic file to the remote processor, receive the electronic file from the remote processor, define at least one new annotation about the electronic file, and define at least one anchor associated with the at least one annotation. The at least one of the remote processor and the client processor is adapted to store the at least one anchor and the at least one annotation in an annotation file that is separate from the electronic file.

Abstract: There are provided methods and electronic learning systems for collating course activities from a plurality of courses into a personal learning stream. The method comprises the steps of selecting a primary course activity associated with a primary course within the plurality of courses, selecting a primary learning outcome associated with the primary course activity, identifying other course activities that are associated with courses within the plurality of courses and having a learning outcome similar to the primary learning outcome, and joining the primary course activity and other course activities into an activity stream. A pacing guide may be created from at least one pacing activity associated with the primary learning outcome, and the pacing guide may then be merged with the activity stream. The personal learning stream may be graphically represented on a calendar.