BAED: A secured biometric authentication system using ECG signal based on deep learning techniques
Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …
information protection and control regulation requirements have grown worldwide. A …
[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
Automated detection of myocardial infarction and heart conduction disorders based on feature selection and a deep learning model
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose
various heart-related conditions in patients. An automated diagnostic tool is required to …
various heart-related conditions in patients. An automated diagnostic tool is required to …
A deep learning technique for biometric authentication using ECG beat template matching
An electrocardiogram (ECG) is a unique representation of a person's identity, similar to
fingerprints, and its rhythm and shape are completely different from person to person …
fingerprints, and its rhythm and shape are completely different from person to person …
A pilot study on AI-driven approaches for classification of mental health disorders
N Dhariwal, N Sengupta, M Madiajagan… - Frontiers in Human …, 2024 - frontiersin.org
The increasing prevalence of mental disorders among youth worldwide is one of society's
most pressing issues. The proposed methodology introduces an artificial intelligence-based …
most pressing issues. The proposed methodology introduces an artificial intelligence-based …
A new approach of transparent and explainable artificial intelligence technique for patient-specific ecg beat classification
Electrocardiogram (ECG) signals carried important clinical information in the form of
intervals and amplitude or morphology. Therefore, it is very important to identify these …
intervals and amplitude or morphology. Therefore, it is very important to identify these …
Identification of Lacerations Caused by Cervical Cancer through a comparative study among texture-extraction techniques
J Aguilar-Santiago, JT Guillen-Bonilla… - Applied Sciences, 2023 - mdpi.com
Cervical cancer is a disease affecting a worrisomely large number of women worldwide. If
not treated in a timely fashion, this disease can lead to death. Due to this problematic, this …
not treated in a timely fashion, this disease can lead to death. Due to this problematic, this …
ECG signal classification in wearable devices based on compressed domain
J Hua, B Chu, J Zou, J Jia - Plos one, 2023 - journals.plos.org
Wearable devices are often used to diagnose arrhythmia, but the electrocardiogram (ECG)
monitoring process generates a large amount of data, which will affect the detection speed …
monitoring process generates a large amount of data, which will affect the detection speed …
A smartphone enabled deep learning approach for myocardial infarction detection using ECG traces for IoT-based healthcare applications
The development of artificial intelligence (AI)-based frameworks to detect myocardial
infarction (MI) from electrocardiogram (ECG) data is important for Internet of Things (IoT) …
infarction (MI) from electrocardiogram (ECG) data is important for Internet of Things (IoT) …
Design of high performance and energy efficient convolution array for convolution neural network-based image inference engine
The energy efficiency of CNN-based inference engines predominately depends upon Giga-
operations-per-second and power consumption. The sparse-based accelerator compresses …
operations-per-second and power consumption. The sparse-based accelerator compresses …