Unanticipated evolution of cardio-respiratory interactions with cognitive load during a Go-NoGo shooting task in virtual reality

被引：1

作者：

Sahoo, Karuna P. ^{[1
]}

Pratiher, Sawon ^{[1
]}

Alam, Sazedul ^{[2
]}

Ghosh, Nirmalya ^{[1
]}

Banerjee, Nilanjan ^{[2
]}

Patra, Amit ^{[1
]}

机构：

[1] Indian Institute of Technology, Department of Electrical Engineering, West Bengal, Kharagpur,721302, India

[2] University of Maryland-Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore,MD,14701, United States

来源：

Computers in Biology and Medicine | 2024年 / 182卷

关键词：

The cardiovascular system interacts continuously with the respiratory system to maintain the vital balance of oxygen and carbon dioxide in our body. The interplay between the sympathetic and parasympathetic branches of the autonomic nervous system regulates the aforesaid involuntary functions. This study analyzes the dynamics of the cardio-respiratory (CR) interactions using RR Intervals (RRI); Systolic Blood Pressure (SBP); and Respiration signals after first-order differencing to make them stationary. It investigates their variation with cognitive load induced by a virtual reality (VR) based Go-NoGo shooting task with low and high levels of task difficulty. We use Pearson's correlation-based linear and mutual information-based nonlinear measures of association to indicate the reduction in RRI-SBP and RRI-Respiration interactions with cognitive load. However; no linear correlation difference was observed in SBP-Respiration interactions with cognitive load; but their mutual information increased. A couple of open-loop autoregressive models with exogenous input (ARX) are estimated using RRI and SBP; and one closed-loop ARX model is estimated using RRI; SBP; and Respiration. The impulse responses (IRs) are derived for each input–output pair; and a reduction in the positive and negative peak amplitude of all the IRs is observed with cognitive load. Some novel parameters are derived by representing the IR as a double exponential curve with cosine modulation and show significant differences with cognitive load compared to other measures; especially for the IR between SBP and Respiration. © 2024 Elsevier Ltd;

D O I：

10.1016/j.compbiomed.2024.109109

中图分类号：

学科分类号：

摘要：

引用

共 4 条

[1] The effects of target sizes on biomechanical and cognitive load and task performance of virtual reality interactions
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[2] MESURING COGNITIVE LOAD IN HEALTHY ELDERS DURING A VIRTUAL REALITY (VR) DYNAMIC BALANCE REACHING TASK
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[3] The effects of target location on musculoskeletal load, task performance, and subjective discomfort during virtual reality interactions
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[4] Notes From the Field: Secondary Task Precision for Cognitive Load Estimation During Virtual Reality Surgical Simulation Training
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