Department of Electronics and Telecommunication Engineering, Karpagam College of Engineering, Coimbatore, India.
Presidency University, Bangalore, India.
Comput Intell Neurosci. 2022 Jul 20;2022:5872401. doi: 10.1155/2022/5872401. eCollection 2022.
EEG, or Electroencephalogram, is an instrument that examines the brain's functions while it is executing any activity. EEG signals to aid in the identification of brain processes and movements and are thus useful in the detection of neurobiological illnesses. Pulses have a very weak magnitude and are recorded from peak to peak, with pulse width ranging from 0.5 to 100 V, which is around 100 times below than ECG signals. As a result, many types of noise can easily influence them. Because EEG signals are so important in detecting brain illnesses, it is critical to preprocess them for accurate assessment and detection. The crown of your head The EEG is a weighted combination of the signals generated by the different small locations beneath the electrodes on the cortical plate. The rhythm of electrical impulses is useful for evaluating a broad range of brain diseases. Hypertension, Alzheimer, and brain damage are all possibilities. We can compare and distinguish the brainwaves for different emotions and illnesses linked with the brain by studying the EEG signal. Multiple research studies and methodologies for preprocessing, extraction of features, and evaluation of EEG data have recently been created. The use of EEG in human-computer communication could be a novel and demanding field that has acquired traction in recent years. We present predictive modeling for analyzing the customer's preference of likes and dislikes via EEG signal in our report. The impulses were obtained when clients used the Internet to seek for multiple items. The studies were carried out on a dataset that included a variety of consumer goods.
脑电图（EEG）是一种检查大脑在执行任何活动时功能的仪器。EEG 信号有助于识别大脑过程和运动，因此在检测神经生物学疾病方面非常有用。脉冲幅度非常微弱，是从峰值到峰值记录的，脉冲宽度在 0.5 到 100V 之间，大约比 ECG 信号低 100 倍。因此，许多类型的噪声很容易影响它们。由于 EEG 信号在检测大脑疾病方面非常重要，因此对其进行预处理以进行准确评估和检测至关重要。
头皮上的 EEG 是头皮上电极下不同小部位产生的信号的加权组合。电脉冲的节律可用于评估广泛的大脑疾病。高血压、阿尔茨海默病和脑损伤都有可能。通过研究 EEG 信号，我们可以比较和区分不同情绪和与大脑相关的疾病的脑波。
最近已经创建了用于 EEG 数据预处理、特征提取和评估的多项研究和方法。EEG 在人机通信中的应用可能是一个新颖且具有挑战性的领域，近年来已引起关注。我们在报告中提出了通过 EEG 信号分析客户喜好的预测模型。当客户使用互联网搜索多种商品时，会获得这些脉冲。这些研究是在一个包含各种消费品的数据集上进行的。
