Improving the Diagnosis of Arrhythmia using a Combination of Neural Networks in a Hierarchical Way
A Abidi, HD Amnyieh, H Jamahmoodi… - Journal of Health and …, 2023 - jhbmi.ir
Method: In this descriptive-analytical study, the UCI reference dataset, which consists of 452
samples with 279 features, was used. The samples were categorized into five classes for the …
samples with 279 features, was used. The samples were categorized into five classes for the …
[PDF][PDF] Heydariyan Daroogheh Amnyieh Z
A Abidi - Jamahmoodi H, Salarniya S, Zabbah I Improving the … - jhbmi.ir
Method: In this descriptive-analytical study, the UCI reference dataset, which consists of 452
samples with 279 features, was used. The samples were categorized into five classes for the …
samples with 279 features, was used. The samples were categorized into five classes for the …
[引用][C] RESNET34 with Synchrosqueezing Transform for ADHD disorder detection using EEG signals
N Arunkumar, B Nagaraj… - Fluctuation and Noise …, 2024 - World Scientific
It is vital for the development of ADHDs (attention deficit hyperactivity disorders) diagnostic
tools that help healthcare practitioners to have automated recognition of ADHDs (attention …
tools that help healthcare practitioners to have automated recognition of ADHDs (attention …