Volumetrix test2/13/2023 ![]() ![]() Waveforms were analyzed after a fast Fourier transformation and identification of the frequencies corresponding to the cardiac rate, with a NIVA value generated based on the weighted powers of these frequencies. Signals were obtained fifteen minutes before, throughout, and up to fifteen minutes after hemodialysis. ![]() A 10-mm piezoelectric sensor was secured to the middle volar aspect of the wrist on the extremity opposite to the access site. Methodsįifty subjects undergoing inpatient hemodialysis were enrolled. We hypothesized that there would be a change in signal after dialysis and that the rate of intradialytic change in signal would be predictive of IDH. The objective of this proof-of-concept study was to characterize changes in NIVA signal with dialysis. ![]() A noninvasive method to capture peripheral venous signals is described ( Non- Invasive Venous waveform Analysis, NIVA). Peripheral venous waveform analysis has recently been developed as a method to accurately determine intravascular volume status through algorithmic quantification of changes in the waveform that occur at different volume states. Despite current attempts at volume-directed dialysis, inadequate dialysis and intradialytic hypotension (IDH) are common occurrences. ![]() Accurate assessment of volume status to direct dialysis remains a clinical challenge. ![]()
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