We also review the relevance ofthe tactile sense, a novel element that improves the sensitivity of current screening methods. Finally, we discuss how new approaches involving tactile discrimination may offer the ability to discriminate patients with Alzheimer's disease from normal subjects.Syafiq, ...
A watch that can trace human movement to record motion boundary as well as to study of finding social life pattern by one's localized visiting area. Pervasive computing also helps patient monitoring. A daily monitoring system helps longitudinal study of patient monitoring such as Alzheimer's and ...
Monitoring effects of disease or therapeutic intervention on brain function is increasingly important for clinical trials, albeit hampered by inter-individual variability and subtle effects. Here, we apply complementary biomarker algorithms to electroenc
Phase coupling is a phenomenon where the phase (timing) of oscillations in one signal becomes correlated with the phase of oscillations in another signal. This implies that the two signals are not only correlated in their amplitudes but also in their timing. Quadratic Phase Coupling (QPC) goes ...
The aggregation of amyloid-β oligomers (AβOs) with extremely strong neurotoxicity has been proved to be the main pathogenesis of Alzheimer’s disease (AD). For sensitive quantification of AβOs, a switchable electrochemical aptasensor is proposed. Metal organic framework carrying Au nanoparticles (...
As a result, this method improves the sensitivity of the choice of the initial seed point and precisely extracts the hippocampus from the MRI brain image 展开 关键词: biomedical MRI brain models edge detection image segmentation medical image processing Alzheimer' s disease MRI brain image ...
027 (2019-06-15) Physical Integrity Attack Detection of Surveillance Camera with Deep Learning Based Video Frame Interpolation arxiv.xilesou.top/pdf/1 028 (2019-07-8) GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis arxiv.xilesou.top/pdf/1 ...
The detection of Zn2+ has attracted scientific interest as Zn2+ is the second most prevalent transition metal in the body, endowed with outstanding roles in physiological processes.[1], [2], [3], [4] Zn2+ has been related to Alzheimer’s or Parkinson’s diseases and infections such as...
[51] developed an innovative deep learning model called AD-CovNet for predicting the mortality of Alzheimer’s patients infected with COVID-19. There were three datasets used to evaluate the proposed model. This proposed model had an accuracy of 97% for datasets 1 and 2 and 86% for dataset...
Nonetheless, disruptions of inter-regional EEG connectivity have been reliably observed in numerous neurological disorders including schizophrenia4, autism5 and Alzheimer’s disease (AD)6. However, more comprehensive connectivity assessments are now required which also consider causality and directionality of...