Introduction There is evidence to suggest that blood viscosity (BV) is involved in several pathological processes. In this review, we evaluated the different methods of BV acquisition, analyzing the sample storage time, the storage temperature, the acquisition time, the acquisition temperature, sample volume, and shear rates, in order to standardize this technique. Methods We selected 50 articles with methods of obtaining BV, evaluating pathologies through BV, comparing rheological equipment, monitoring, and regulating BV. Results and conclusion Measurements should be obtained as soon as possible, to reduce hemorheological changes. It is necessary to refrigerate them at 4°C when the storage time is long. The acquisition time is related to the equipment used. BV measurements at 37°C will represent the real BV in vivo more faithfully. In order to understand the BV phenomena, the shear rates must be between 0.1 and 1000 s‐1. There is a wide variety of equipment available for measuring the BV.
The COVID-19 pandemic posed a significant impediment to experimental research, leading several researchers to adapt psychophysical data acquisition. With the development and proliferation of information technology, paper-based organizational processes have gradually begun to be replaced by computer-based equivalents. This study describes how we developed, analyzed data, and validated the temporal bisection task in a remote data acquisition scenario. We implemented the data acquisition using the open science software OpenSesame, in conjunction with the JATOS platform. We described in detail all the steps to use our codes, which we made available for reuse. We acquired data from 28 participants using the remote acquisition system and compared them with data obtained in person (from Penney et al., 2000). Our remote data showed compatible results with live experiments, suggesting that the modality of data acquisition (remote or live) does not influence the results.
The COVID-19 pandemic posed a significant impediment to experimental research, leading several researchers to adapt psychophysical data acquisition. With the development and proliferation of information technology, paper-based organizational processes have gradually begun to be replaced by computer-based equivalents. This study describes how we developed, analyzed data, and validated the temporal bisection task in a remote data acquisition scenario. We implemented the data acquisition using the open science software OpenSesame, in conjunction with the JATOS platform. We described in detail all the steps to use our codes, which we made available for reuse. We acquired data from 28 participants using the remote acquisition system and compared them with data obtained in person (from Penney et al., 2000). Our remote data showed compatible results with live experiments, suggesting that the modality of data acquisition (remote or live) does not influence the results.
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