Abstract: The present invention uses a microprocessor, a memory storage device, and a segmentation program comprising a plurality of program modules containing computer-readable instructions that cause the microprocessor to measure the spatial offsets between all pairs of scans in an m-mode image of a blood vessel with a cross-correlation function, convert the spatial offsets to a relative wall motion waveform through a global optimization procedure, and then translate the relative wall motion waveform to an absolute wall motion waveform by interpolation over the m-mode image. The resulting detailed absolute wall distension waveform may be beneficially rendered (e.g., superimposed) on the m-mode ultrasound image for display (e.g., on a printer and/or video monitor) and diagnostic purposes, and has enormous potential for enhancing existing techniques for identifying and studying vascular biomarkers, such as vessel wall strain and compliance.

Abstract: The present invention uses a microprocessor, a memory storage device, and a segmentation program comprising a plurality of program modules containing computer-readable instructions that cause the microprocessor to measure the spatial offsets between all pairs of scans in an m-mode image of a blood vessel with a cross-correlation function, convert the spatial offsets to a relative wall motion waveform through a global optimization procedure, and then translate the relative wall motion waveform to an absolute wall motion waveform by interpolation over the m-mode image. The resulting detailed absolute wall distension waveform may be beneficially rendered (e.g., superimposed) on the m-mode ultrasound image for display (e.g., on a printer and/or video monitor) and diagnostic purposes, and has enormous potential for enhancing existing techniques for identifying and studying vascular biomarkers, such as vessel wall strain and compliance.

Abstract: A monitoring device having a system and method for detecting deviations in nominal gait patterns is provided. The monitoring device is configured for at least partial insertion within an auditory canal of an individual. The system employed in the monitoring device is comprised of at least an accelerometer configured for measuring acceleration in three orthogonal directions aligned with the principal directions of the body. Gait features values are extracted from the measurements and continuously accumulated, thereby establishing the nominal gait pattern of the individual. Subsequent extractions of current gait features are compared to accumulated gait feature statistics to determine if a deviation in the established nominal gait pattern has been detected.

Abstract: An iterative approach to vector median filtering wherein the resulting median vector need not be a member of the original data set. The iterative vector median filtering allows for fast convergence for complex computations and an output which is approximate to the mean, particularly for small data sets. In addition, a method and system for registering and matching 2.5 normal maps is provided. Registration of two maps is performed by optimally aligning their normals through 2-D warping in the image plane in conjunction with a 3-D rotation of the normals. Once aligned, the average dot-product serves as a matching metric for automatic target recognition (ATR).