Computers in biology and medicine
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Photoplethysmography (PPG)-based temporal analyses have been widely used as a useful analytical method in physiological and cardiovascular diagnosis. Most of temporal approaches of PPG are based on detected peak points, peak and foot of PPG. ⋯ The present study demonstrates a promising approach to overcome respiration effect and to detect PPG peak. More extensive investigation is necessary to adapt for the cardiovascular diseases, whose PPG morphology has different form.
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Registration algorithms are usually based on measures that must be optimized, whose choice has a great influence in the final result. For diffusion tensor imaging, scalar measures cannot be directly applied, and therefore new cost functions must be defined, regarding the special features of these data. ⋯ These conclusions are corroborated by experiments, where registration algorithms are driven by DTB and other broadly used measures. It is shown both quantitatively and visually that DTB leads to better results, and is more robust in presence of noise.
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Noninvasive pulse waveforms contain rich pathophysiological information of cardiovascular system. It is hereby a tradition of interest to implement risk stratification by pulse waveform monitoring and analysis. In contrast to conventional computer- or network-based solutions, we attempt to accomplish pulse waveform monitoring and analysis within a self-contained mobile platform. ⋯ Such compact pulse waveform analyzer is of great help for cardiovascular health monitoring at home. A carefully designed evaluation has been undertaken within our research group. The results confirmed its prospect in home healthcare.
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An automated method for detecting and eliminating electrocardiograph (ECG) artifacts from electroencephalography (EEG) without an additional synchronous ECG channel is proposed in this paper. Considering the properties of wavelet filters and the relationship between wavelet basis and characteristics of ECG artifacts, the concepts for selecting a suitable wavelet basis and scales used in the process are developed. The analysis via the selected basis is without suffering time shift for decomposition and detection/elimination procedures after wavelet transformation. The detection rates, above 97.5% for MIT/BIH and NTUH recordings, show a pretty good performance in ECG artifact detection and elimination.
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Surgical telemanipulators are obviously used in cardiac surgery to provide the surgeon in a confined space the same stereoscopic vision, full dexterity, unimpaired hand-eye alignment and tactile feedback as in open surgery. This is the basic concept that enables the controlled fine soft tissue manipulation that is needed in bypass grafting and valve surgery. In 2005, a total of 2984 cardiac procedures were performed worldwide using the da Vinci system. This includes totally endoscopic coronary artery bypass grafting (TECAB), mitral valve repair (MVR) procedures, ASD closure and cardiac tissue ablation for atrial fibrillation.