Deep Learning-Based Epileptic Seizure Detection from EEG Signals and PPG signals Using LSTM and CNN Models [0.03%]
基于深度学习的EEG和PPG信号癫痫发作检测(LSTM和CNN模型)
Aruna Devi B
Aruna Devi B
Epilepsy is a chronic neurological disorder characterized by recurrent and unpredictable seizures that significantly affect patients' health and quality of life. Conventional diagnosis relies heavily on continuous electroencephalogram (EEG)...
Evaluating the Efficacy and Safety of Edaravone-Dexborneol in Acute Ischemic Stroke: An Updated Systematic Review and Meta-Analysis of 7,846 Chinese Patients [0.03%]
评价依达拉奉右莰醇在急性缺血性卒中疗效和安全性：7846例中国患者的系统更新综述及荟萃分析
Haneen Sabet,Abdallah Abbas,Mohamed Ahmed Zanaty et al.
Haneen Sabet et al.
Objective: To evaluate the safety and efficacy of Edaravone-Dexborneol as a neuroprotective agent in patients with acute ischemic stroke (AIS). Methods: ...
A predictive model for postoperative delirium in patients admitted to the intensive care unit after cardiac valve surgery [0.03%]
心脏瓣膜手术后入住重症监护室患者的术后谵妄预测模型
Zhizhen Shi,Zhen Yuan,Jiwei Cheng et al.
Zhizhen Shi et al.
Introduction: Postoperative delirium (POD) frequently occurs in patients following cardiac valve surgery in the intensive care unit (ICU), and is linked to adverse outcomes and extended hospitalization. The purpose of thi...
Time-dependent neurovascular unit dysfunction in ischemic stroke: mechanisms of neurovascular uncoupling and its clinical impact [0.03%]
缺血性卒中中的时间依赖性神经血管单元功能障碍：神经血管解偶联的机制及其临床影响
Rijhul Lahariya,Mainak Sinha,Bandana Kumari et al.
Rijhul Lahariya et al.
Aim: Neurovascular unit (NVU) dysfunction is a central determinant of tissue injury, reperfusion failure, and long-term neurological outcomes after ischemic stroke. This review critically examines the cellular and molecul...
Genetically Predicted Artificial Sweeteners and Stroke Susceptibility: A Multivariable Mendelian Randomization Study [0.03%]
基于多变量孟德尔随机化研究的遗传预测的人工甜味剂中风易感性研究
Zurong Song,Hua Li,Yan Zhang
Zurong Song
Aims: The present study investigated the causal associations of artificial sweetener consumption on the risk of stroke. Methods: We app...
A Systems Biology Framework Uncovers Multi-Level Genetic Regulation of Dizziness/vertigo Through eQTL-GWAS Integration and Single-Cell Analysis [0.03%]
一种系统生物学框架通过eQTL-GWAS整合和单细胞分析揭开多水平遗传调节以应对眩晕/头晕
Dingduo Shan,Shuo Li,Lili Zhang et al.
Dingduo Shan et al.
Background: Dizziness/vertigo is a multifactorial neurological disorder with complex ge-netic and cellular bases, yet its molecular mechanisms remain unclear. Understanding how gene regulation contributes to dizziness/ver...
Effects of Alteplase, Aspirin, and Clopidogrel on Inflammatory Factors and Neurological Function in Patients with Stroke [0.03%]
阿替普酶、阿司匹林和氯吡格雷对卒中患者炎症因子及神经功能影响的研究
Jinjin Chen,Xiaoli Yang,Zongyou Zhao
Jinjin Chen
Aim: To evaluate the clinical value of combining alteplase, aspirin, and clopidogrel in patients with stroke, with changes in the National Institutes of Health Stroke Scale (NIHSS) score as the primary efficacy assessment...
Liproxstatin-1 ameliorates cerebral ischemia-reperfusion injury through inhibiting ferroptosis [0.03%]
Liproxstatin-1通过抑制铁死亡改善脑缺血再灌注损伤
Lie Xiong,Yuting Jin,Jingruo Zhang et al.
Lie Xiong et al.
Objective: This study intends to investigate the protective impact of liproxstatin-1 against cerebral ischemia-reperfusion injury (CIRI) in rats and the corresponding underlying mechanism. ...
Khyati Sharma,Deepak Agrawal,Reema Gabrani
Khyati Sharma
Introduction- Traumatic brain injury (TBI) remains a leading cause of disability and death worldwide, with no FDA-approved therapies capable of halting or reversing secondary injury cascades.Areas covered- Recent years (2020-2025) have witn...
Graph-Theoretical Analysis of Resting-State EEG Networks Differentiates Alzheimer's Disease and Frontotemporal Dementia [0.03%]
基于静息态EEG网络的图论分析鉴别阿尔茨海默病和额颞叶痴呆
Li Zhu,Yue Pan,Zi-Liang Wang
Li Zhu
Background: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are neurodegenerative diseases with overlapping symptoms, complicating diagnosis. EEG-derived brain connectivity metrics, based on network neuroscienc...