Biotechnology High Performance Computing Software Applications Institute (BHSAI), Telemedicine and Advanced Technology Research Center (TATRC), U.S. Army Medical Research and Materiel Command (USAMRMC), ATTN: MCMR-TT, 504 Scott Street, Fort Detrick, MD 21702, USA.
Biotechnology High Performance Computing Software Applications Institute (BHSAI), Telemedicine and Advanced Technology Research Center (TATRC), U.S. Army Medical Research and Materiel Command (USAMRMC), ATTN: MCMR-TT, 504 Scott Street, Fort Detrick, MD 21702, USA.
J Neurosci Methods. 2018 Jul 1;304:39-45. doi: 10.1016/j.jneumeth.2018.04.007. Epub 2018 Apr 19.
The psychomotor vigilance task (PVT) has been widely used to assess the effects of sleep deprivation on human neurobehavioral performance. To facilitate research in this field, we previously developed the PC-PVT, a freely available software system analogous to the "gold-standard" PVT-192 that, in addition to allowing for simple visual reaction time (RT) tests, also allows for near real-time PVT analysis, prediction, and visualization in a personal computer (PC).
Here we present the PC-PVT 2.0 for Windows 10 operating system, which has the capability to couple PVT tests of a study protocol with the study's sleep/wake and caffeine schedules, and make real-time individualized predictions of PVT performance for such schedules. We characterized the accuracy and precision of the software in measuring RT, using 44 distinct combinations of PC hardware system configurations.
We found that 15 system configurations measured RTs with an average delay of less than 10 ms, an error comparable to that of the PVT-192. To achieve such small delays, the system configuration should always use a gaming mouse as the means to respond to visual stimuli. We recommend using a discrete graphical processing unit for desktop PCs and an external monitor for laptop PCs.
This update integrates a study's sleep/wake and caffeine schedules with the testing software, facilitating testing and outcome visualization, and provides near-real-time individualized PVT predictions for any sleep-loss condition considering caffeine effects.
The software, with its enhanced PVT analysis, visualization, and prediction capabilities, can be freely downloaded from https://pcpvt.bhsai.org.
精神运动警觉任务（PVT）已广泛用于评估睡眠剥夺对人类神经行为表现的影响。为了促进该领域的研究，我们之前开发了 PC-PVT，这是一个免费的软件系统，类似于“黄金标准”PVT-192，除了允许进行简单的视觉反应时（RT）测试外，还允许在个人计算机（PC）上进行近乎实时的 PVT 分析、预测和可视化。
本文介绍了适用于 Windows 10 操作系统的 PC-PVT 2.0，它具有将研究方案中的 PVT 测试与研究的睡眠/觉醒和咖啡因时间表相结合的功能，并对这些时间表的 PVT 性能进行实时个性化预测。我们使用 44 种不同的 PC 硬件系统配置组合来评估软件测量 RT 的准确性和精密度。
我们发现，15 种系统配置的 RT 测量平均延迟小于 10ms，与 PVT-192 的误差相当。为了实现如此小的延迟，系统配置应始终使用游戏鼠标作为响应视觉刺激的手段。我们建议在台式 PC 上使用离散图形处理单元，在笔记本电脑上使用外部显示器。
此更新将研究的睡眠/觉醒和咖啡因时间表与测试软件集成在一起，便于测试和结果可视化，并考虑咖啡因的影响，为任何睡眠损失情况提供近乎实时的个性化 PVT 预测。
该软件具有增强的 PVT 分析、可视化和预测功能，可从 https://pcpvt.bhsai.org 免费下载。
