[PDF][PDF] Integrating Wearable Health Monitoring Devices with IoT for Enhanced Personal Health Management: A Comprehensive Review
The rapid advancement of technology has significantly impacted the development of
wearable health monitoring devices, integrating Internet of Things (IoT) capabilities into …
wearable health monitoring devices, integrating Internet of Things (IoT) capabilities into …
A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions
Abstract A Clinical Data Repository (CDR) is a dynamic database capable of real-time
updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer …
updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer …
Machine Learning Techniques for Prediction of Hypertension
P Chaudhary, K Bhatia, D Kumar - Artificial Intelligence in …, 2024 - taylorfrancis.com
Hypertension, or high blood pressure, is a significant health condition affecting many people
worldwide. Traditional diagnosis methods often rely on manual analysis of various risk …
worldwide. Traditional diagnosis methods often rely on manual analysis of various risk …
A convolutional autoencoder framework for ECG signal analysis
Electrocardiographic (ECG) signals are used to evaluate heart activity and to identify
disease-related anomalies. Reliable support systems are useful for analyzing ECG signals …
disease-related anomalies. Reliable support systems are useful for analyzing ECG signals …
[PDF][PDF] Discover Data
Abstract A Clinical Data Repository (CDR) is a dynamic database capable of real-time
updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer …
updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer …
AUTAN-ECG: An AUToencoder bAsed system for anomaly detectioN in ECG signals
Electrocardiographic (ECG) signals that monitor heart activity can help identifying disease-
related anomalies. Reliable automatic anomaly detection has been shown to be useful in …
related anomalies. Reliable automatic anomaly detection has been shown to be useful in …
Coronary Heart Disease Diagnostic Screening System
ON Bodin, MN Kramm, AY Bodin… - 2024 IEEE 25th …, 2024 - ieeexplore.ieee.org
Improving the quality of screening diagnosis of coronary heart disease is achieved by
applying a decision support system built on the basis of a digital heart twin, a heart computer …
applying a decision support system built on the basis of a digital heart twin, a heart computer …
Role of integrated pulmonary index in respiratory monitoring of spontaneously breathing COVID-19 patients with moderate to severe respiratory symptoms
SM Kasem, MK Ahmed, AM Mukhtar… - Anaesthesia, Pain & …, 2024 - apicareonline.com
Background & objective: Most of the COVID-19 patients suffered from moderate to severe
respiratory symptoms. Many of them needed oxygen supplementation or even mechanical …
respiratory symptoms. Many of them needed oxygen supplementation or even mechanical …
Decision support system for early diagnosis of heart diseases
RW Ahmed - VFAST Transactions on Software Engineering, 2023 - vfast.org
Heart disease remains a leading cause of death worldwide, emphasizing the critical need
for early diagnosis to enable effective treatment and management. Decision support systems …
for early diagnosis to enable effective treatment and management. Decision support systems …
Design Framework of Expert System Program in Otolaryngology Disease Diagnosis use Extreme Programming (XP) Method (Case Study in THB Bekasi Hospital)
TF Prasetyo, IR Rahadjeng, Z Mufid… - Journal of …, 2024 - jtie.stekom.ac.id
The prevalence of Ear, Nose, and Throat (ENT) diseases presents diagnostic challenges,
especially in resource-limited settings. At THB Bekasi Hospital, constrained specialist …
especially in resource-limited settings. At THB Bekasi Hospital, constrained specialist …