Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...

background and objectives: febrile convulsion (fc) is the most common seizure disorder in childhood period. some studies have suggested association between seasons and occurrence of fc. this study was designed to determine demographic features, causes and seasonal variations in cases with fc. method: in this descriptive, cross sectional study, 282 children 6- 60 months with fc were admitted to ...

variations in biochemical features are extensive among cells. identification of marker that is specific for each cell is essential for following the differentiation of stem cell and metastatic growing. fourier transform infrared spectroscopy (ftir) as a biochemical analysis more focused on diagnosis of cancerous cells. in this study, commercially obtained cell lines such as human ovarian carcin...