Application of artificial intelligence in wearable devices: Opportunities and challenges
D Nahavandi, R Alizadehsani, A Khosravi… - Computer Methods and …, 2022 - Elsevier
Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …
Deep learning for medical anomaly detection–a survey
Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …
extensively studied. Numerous approaches have been proposed across various medical …
An efficient and robust phonocardiography (pcg)-based valvular heart diseases (vhd) detection framework using vision transformer (vit)
Background and objectives: Valvular heart diseases (VHDs) are one of the dominant causes
of cardiovascular abnormalities that have been associated with high mortality rates globally …
of cardiovascular abnormalities that have been associated with high mortality rates globally …
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
M Alkhodari, L Fraiwan - Computer Methods and Programs in Biomedicine, 2021 - Elsevier
Valvular heart diseases (VHD) are one of the major causes of cardiovascular diseases that
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
Deep learning methods for heart sounds classification: a systematic review
The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
Application of photoplethysmography signals for healthcare systems: An in-depth review
Background and objectives Photoplethysmography (PPG) is a device that measures the
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …
CardioXNet: A novel lightweight deep learning framework for cardiovascular disease classification using heart sound recordings
The alarmingly high mortality rate and increasing global prevalence of cardiovascular
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR
Early diagnosis of breast lesions and differentiation of malignant lesions from benign lesions
are important for the prognosis of breast cancer. In the diagnosis of this disease ultrasound …
are important for the prognosis of breast cancer. In the diagnosis of this disease ultrasound …
A lightweight hybrid deep learning system for cardiac valvular disease classification
Y Al-Issa, AM Alqudah - Scientific Reports, 2022 - nature.com
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using PCG signals
The damage to the heart valves causes heart valve disorders (HVDs). The detection of
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …