近红外光谱结合经颅直流电刺激在基于fpga的硬件点护理测试脑血管状态-中风研究

Utkarsh Jindal, Mehak Sood, Abhijit Das, S. R. Chowdhury, Anirban Dutta
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引用次数: 1

摘要

脑血管反应性(CVR)反映了血管的扩张能力,是脑血管储备的重要标志,可以评价脑血管状态。在这里,经颅直流电刺激(tDCS)可以根据电流方向上下调节皮质兴奋性,而阳极tDCS可以在刺激期间增加区域脑血流量。CVR的损伤与缺血性事件的风险增加有关。在这里,近红外光谱(NIRS)是一种大脑监测方法,可以在各种临床条件下无创连续测量脑血管状态。本文描述了一种基于fpga硬件的4通道连续波NIRS与tDCS相结合的开发,该硬件捕获了大脑额叶皮层的血流动力学变化,作为阳极tDCS前后CVR的测量指标。我们招募了14例已确诊的急性缺血性脑卒中(< 1个月)患者(10名男性,4名女性,年龄42 - 73岁)。病变半球循环受损脑血红蛋白氧合变化(0.26 +/- 0.28)明显低于健康侧(3.43+/- 0.86),p< 0.01。因此,将NIRS与tDCS相结合可以提供低成本的脑血管状态护理点测试,因此我们提出了一个基于NIRS-tDCS的自适应神经模糊推理系统,该系统在基于fpga的硬件上实现。
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Near infra-red spectroscopy combined with transcranial direct current stimulation in FPGA-based hardware for point of care testing of cerebral vascular status - A stroke study
Cerebral vascular status can be evaluated with cerebrovascular reactivity (CVR) that reflects the capacity of blood vessels to dilate, and is an important marker for brain vascular reserve. Here, transcranial direct current stimulation (tDCS) can up- and down- regulate cortical excitability depending on current direction, and anodal tDCS can increase regional cerebral blood flow during stimulation. Impairments in CVR have been associated with increased risk of ischemic events. Here, near-infrared spectroscopy (NIRS) is a cerebral monitoring method that can be used for non-invasive and continuous measurement of cerebral vascular status under various clinical conditions. This paper describes the development of a 4-channel continuous wave NIRS combined with tDCS in an FPGA-based hardware that captured the hemodynamic changes in the frontal cortex of the brain, as a measure of CVR, before and after anodal tDCS. We recruited 14 patients with established and acute ischemic stroke (<;1 month) localized to a single hemisphere (10 male and 4 females from age 42 to 73). The affected hemisphere with impaired circulation showed significantly less (0.26 +/- 0.28), p<;0.01, change in cerebral hemoglobin oxygenation than the healthy side (3.43+/- 0.86) in response to anodal tDCS. Thus, combining NIRS with tDCS can lend to low-cost point of care testing of cerebral vascular status so we present a NIRS-tDCS based adaptive neuro-fuzzy inference system implemented in a FPGA-based hardware.
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