Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network
W Chen, M Li - Preventive Medicine, 2023 - Elsevier
In order to make the teaching and training of aerobics more standardized, it is necessary to
use scientific means to detect and monitor the movement standardization in teaching and …
use scientific means to detect and monitor the movement standardization in teaching and …
Hypuc: Hyperfine uncertainty calibration with gradient-boosted corrections for reliable regression on imbalanced electrocardiograms
The automated analysis of medical time series, such as the electrocardiogram (ECG),
electroencephalogram (EEG), pulse oximetry, etc, has the potential to serve as a valuable …
electroencephalogram (EEG), pulse oximetry, etc, has the potential to serve as a valuable …
MT-MV-KDF: A novel Multi-Task Multi-View Knowledge Distillation Framework for myocardial infarction detection and localization
Myocardial infarction (MI) is a prevalent and life-threatening cardiovascular ailment,
diagnosed primarily through the twelve-lead electrocardiogram (ECG). These leads provide …
diagnosed primarily through the twelve-lead electrocardiogram (ECG). These leads provide …
Gradient-Driven Texture-Normalized Liver Tumor Detection Using Deep Learning
R Kiruthiga, MA Abbas, S Ashok, KM Raj… - … on Power, Energy …, 2022 - ieeexplore.ieee.org
Prior methods had trouble developing an effective segmentation framework model for
detecting liver tumors from CT images, leading to subpar results in terms of both visual …
detecting liver tumors from CT images, leading to subpar results in terms of both visual …
ECGMamba: Towards Efficient ECG Classification with BiSSM
Y Qiang, X Dong, X Liu, Y Yang, Y Fang… - arXiv preprint arXiv …, 2024 - arxiv.org
Electrocardiogram (ECG) signal analysis represents a pivotal technique in the diagnosis of
cardiovascular diseases. Although transformer-based models have made significant …
cardiovascular diseases. Although transformer-based models have made significant …
FRAG-EXTRACT: Unmasking Diabetes Mellitus Through Fragmented ECG Insights Using Deep Learning Approach
SK Reehana, SI SP - 2024 2nd World Conference on …, 2024 - ieeexplore.ieee.org
Diabetes Mellitus (DM), otherwise known as Diabetes, it is noted as the endocrine disorder
which is a commonest hormonal deficit and it is characterized by the High level of Blood …
which is a commonest hormonal deficit and it is characterized by the High level of Blood …
Diagnosis of Diabetic Retinopathy Via Classification of Fundus Images Using Deep Learning Methods
S Vinothini, S Raghul… - 2024 Second International …, 2024 - ieeexplore.ieee.org
In diabetics, a condition known as diabetic retinopathy (DR) can harm the retina is a tissue
located at the rear of the eye that contains blood vessels., resulting in vision loss or possibly …
located at the rear of the eye that contains blood vessels., resulting in vision loss or possibly …
MVTS-Net: A Multi-View Teacher-Student Network for Myocardial Infarction Location Using 12-Lead Raw Electrocardiograms
Y Qiang, X Dong, X Liu, Y Yang - Available at SSRN 4597960 - papers.ssrn.com
Abstract Background and Objective: Myocardial infarction (MI) is a common and life-
threatening cardiovascular disease. The 12-lead ECG is the primary diagnostic tool for MI …
threatening cardiovascular disease. The 12-lead ECG is the primary diagnostic tool for MI …