Abstract: An apparatus, a method, and a computer program product for use in performing, monitoring, and evaluating the performance of therapeutic exercises. The apparatus includes a human-device interface and a motion sensor. In response to movement of the human-device interface, a controller receives motion data from the motion sensor, and transmits the motion data to a computing device. Based on the motion data, the computing device displays a graphical element that depicts the movement. The computing device compares the movement to a target motion, and if the movement matches the target motion, displays a graphical element indicating an exercise is being performed properly. If the movement does not match the target motion, the computing device indicates the exercise is not being performed properly and displays another graphical element indicating how to correct the motion.

Abstract: Described here are systems and methods for generating microvessel images from image data acquired with an ultrasound system while analyzing the image data in real-time, or retrospectively, to adaptively suppress noise in the data.

Abstract: An apparatus, a method, and a computer program product for use in performing, monitoring, and evaluating the performance of therapeutic exercises. The apparatus includes a human-device interface and a motion sensor. In response to movement of the human-device interface, a controller receives motion data from the motion sensor, and transmits the motion data to a computing device. Based on the motion data, the computing device displays a graphical element that depicts the movement. The computing device compares the movement to a target motion, and if the movement matches the target motion, displays a graphical element indicating an exercise is being performed properly. If the movement does not match the target motion, the computing device indicates the exercise is not being performed properly and displays another graphical element indicating how to correct the motion.

Abstract: Described here are systems and methods for generating images from image data acquired with an ultrasound system while analyzing the image data in real-time, or retrospectively, to generate a performance descriptor that can be used to assess a motion correction quality.

Abstract: A personalized chronic care apparatus is disclosed herein. An example apparatus includes a server operating over a network, software stored on the server, and a compliance entry feature configured to receive compliance information related to a patient. The software includes an automated learning method for creating an overall kidney maintenance plan that specifies one or more controllable variables as actions performed by the patient to prevent or reduce complications associated with chronic kidney disease (“CKD”). The automated learning method is configured to perform an evaluation to determine whether a selected controllable variable is to be included in the overall kidney maintenance plan by confirming when (i) a worsening of kidney function is not determined between first evaluation data and second evaluation data over a testing period, and (ii) the compliance information provides a confirmation that the selected controllable variable was modified over the testing period.

Abstract: An apparatus, a method, and a computer program product for use in performing, monitoring, and evaluating the performance of therapeutic exercises. The apparatus includes a human-device interface and a motion sensor. In response to movement of the human-device interface, a controller receives motion data from the motion sensor, and transmits the motion data to a computing device. Based on the motion data, the computing device displays a graphical element that depicts the movement. The computing device compares the movement to a target motion, and if the movement matches the target motion, displays a graphical element indicating an exercise is being performed properly. If the movement does not match the target motion, the computing device indicates the exercise is not being performed properly and displays another graphical element indicating how to correct the motion.

Abstract: A personalized chronic care system including (i) a sensor; (ii) a data receiving device separate from the sensor and configured to receive data directly or indirectly from the sensor; (iii) a data analytics device separate from the sensor and including at least one algorithm configured to analyze the sensor data and provide an analyzed data outcome; and (iv) at least one output device separate from the sensor and in communication with the data analytics device, the at least one output device configured to receive and communicate the analyzed data outcome to a health care provider.

Abstract: Described here are systems and methods for generating microvessel images from image data acquired with an ultrasound system while analyzing the image data in realtime, or retrospectively, to generate a performance descriptor that can be used to assess data quality and/or motion correction quality; to adaptively suppress noise in the data; or both.

Abstract: A personalized chronic care system including (i) a sensor; (ii) a data receiving device separate from the sensor and configured to receive data directly or indirectly from the sensor; (iii) a data analytics device separate from the sensor and including at least one algorithm configured to analyze the sensor data and provide an analyzed data outcome; and (iv) at least one output device separate from the sensor and in communication with the data analytics device, the at least one output device configured to receive and communicate the analyzed data outcome to a health care provider.

Abstract: A method, system, and computer-readable medium for determining a number of mycobacteria in source image data of a sputum-smear sample are provided. First image data is extracted from the source image data of the sputum-smear sample. Binary image data is created from the extracted first image data. A plurality of groups of blobs is identified in the created binary image data. A distance between a pair of the identified plurality of groups of blobs is determined. If the distance is below a threshold value, the pair is combined as a single group of blobs. The determining is repeated for pairs of the identified plurality of groups of blobs, and the remaining groups of blobs are then classified.

Abstract: A method includes determining, with a computing device, one or more of a hue value, a saturation value, and an intensity value of a pixel in a region of interest of an image of a blood vessel sample. A physical response of the blood vessel sample to a vaso-active agent is determined based at least in part on one or more of the hue value, the saturation value, and the intensity value.

Abstract: A method, system, and computer-readable medium for determining a number of mycobacteria in source image data of a sputum-smear sample are provided. First image data is extracted from the source image data of the sputum-smear sample. Binary image data is created from the extracted first image data. A plurality of groups of blobs is identified in the created binary image data. A distance between a pair of the identified plurality of groups of blobs is determined. If the distance is below a threshold value, the pair is combined as a single group of blobs. The determining is repeated for pairs of the identified plurality of groups of blobs, and the remaining groups of blobs are then classified.

Abstract: A method includes determining, with a computing device, one or more of a hue value, a saturation value, and an intensity value of a pixel in a region of interest of an image of a blood vessel sample. A physical response of the blood vessel sample to a vaso-active agent is determined based at least in part on one or more of the hue value, the saturation value, and the intensity value.