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The human rewards network is a complex system spanning both cortical and subcortical regions. While much is known about the functions of the various components of the network, research on the behavior of the network as a whole has been stymied due to an inability to detect signals at a high enough temporal resolution from both superficial and deep network components simultaneously. In this paper,...
Patient monitoring via video and physiological data recording can now be performed outside hospitals. This procedure, usually performed in a prolonged manner, generates a considerable amount of data, which calls for efficient ways for archiving and transmission. In this work, we present a specialized system to code the video and the physiological data recorded from a patient, aiming at a reduced bandwidth...
Transmitting high-quality neurophysiology video via the Internet is a challenging problem in telemedicine. We propose a novel video data processing and compression method based on the discrete wavelet transform (DWT). The DWT is utilized to decompose video frames into subframes, different bandwidth budgets are assigned to important and less important regions in each subframe, and several video encoders...
Change detection is a useful tool to identify content changes in images. Its significance is found in the applications of video surveillance, editing, coding and analysis. In this work, we present another application of change detection to patient video monitoring, based on a novel approach in the discrete cosine transform (DCT) domain. This approach is built upon a statistical test on the difference...
Transmitting high-quality video via the Internet is a challenging problem in distributed diagnosis system. We propose a content-based video data preprocessing scheme, which is adaptive to the video data acquired during intraoperative monitoring and can cascade with essentially any video codec. IOM video is first decomposed into temporal wavelet subband frames and motion compensation is incorporated...
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