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An easy-to-adopt approach for regular and routine monitoring of the consciousness level of human brain of stayed alone sick person

机译:一种易于采用的常规和常规监测人类脑脑的意识水平的定期监测

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The objective of the paper is to put forward a portable, robust, applicable to wide variety of environments and user-friendly device to measure the level of awareness of human brain. The estimation process of consciousness-level is based on the electroencephalography (EEG). The device uses two skin surface electrodes (non-invasive). One electrode, acting as the measuring electrode, is placed on the frontal region of the human scalp to scan the bio-potential generated by the neuron network (representing one's conscious awareness) with respect to a reference electrode (which is attached to the ear lobe of the subject). The device is powered by a simple but dedicated software algorithm for signal acquisition and signal conditioning followed by the display of results for necessary diagnosis. It scans the complex brain wave and identifies the presence of Beta (β) waves (13–30Hz). These β-waves indicate the awareness of the subject. The analysis software performs a faithful comparison of the acquired data with the standard database (stored in the memory device of the hand-held computer). The algorithm is programmed in LabVIEW environment to translate the information from the sensor to a meaningful data array for Fast Fourier Transform (FFT) to obtain frequency spectra. The results obtained through our proposed gadget are in closed agreements with the actual clinical conditions.
机译:本文的目的是提出了一种可便携式的,适用于各种环境和用户友好的设备,以测量人类大脑的认识水平。意识级别的估计过程基于脑电图(EEG)。该装置使用两个皮肤表面电极(非侵入性)。一种用作测量电极的电极放置在人头皮的正面区域上,以扫描由神经网络(表示一个人的有意识的感知)产生的生物电位(表示与耳朵叶连接到耳朵主题)。该器件由一个简单但专用的软件算法供电,用于信号采集和信号调节,然后显示出必要诊断的结果。它扫描复杂的脑波并识别β(β)波(13-30hz)的存在。这些β -waves表示对该主题的认识。分析软件对所获取的数据与标准数据库进行忠实的比较(存储在手持计算机的存储器设备中)。该算法在LabVIEW环境中编程,将来自传感器的信息转换为快速傅里叶变换(FFT)的有意义的数据阵列,以获得频谱。通过我们拟议的小工具获得的结果符合实际临床条件。

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