A Review of Methods and Applications for a Heart Rate Variability Analysis
Heart rate variability (HRV) has emerged as an essential non-invasive tool for
understanding cardiac autonomic function over the last few decades. This can be attributed …
understanding cardiac autonomic function over the last few decades. This can be attributed …
Machine learning-based medical decision support system for diagnosing HFpEF and HFrEF using PPG
Heart failure (HF) cases are increasing day by day. Rapid diagnosis, initiation of treatment,
reduction of mortality and prolongation of lifespan are important. Left ventricular ejection …
reduction of mortality and prolongation of lifespan are important. Left ventricular ejection …
Intelligent automatic sleep staging model based on CNN and LSTM
L Zhuang, M Dai, Y Zhou, L Sun - Frontiers in Public Health, 2022 - frontiersin.org
Since electroencephalogram (EEG) is a significant basis to treat and diagnose somnipathy,
sleep electroencephalogram automatic staging methods play important role in the treatment …
sleep electroencephalogram automatic staging methods play important role in the treatment …
Literature review on sleep APNEA analysis by machine learning algorithms using ECG signals
V Ankitha, P Manimegalai, PSH Jose… - Journal of Physics …, 2021 - iopscience.iop.org
Abstract Obstructive Sleep Apnea is a respiratory disorder that impairs sleep quality by
causing respiratory arrest. An irregular breath delay or decrease of airflow during sleep is …
causing respiratory arrest. An irregular breath delay or decrease of airflow during sleep is …
Automatic multi-class sleep staging method based on novel hybrid features
WB Wang, D Qin, Y Fang, C Zhou, Y Zheng - Journal of Electrical …, 2024 - Springer
To address the problems of various sleep staging criteria and poor accuracy of sleep
staging, we proposed an effective method with novel hybrid features. Besides the common …
staging, we proposed an effective method with novel hybrid features. Besides the common …
DETECTION of HFrEF and HFpEF USING PPG-DERIVED HRV with MACHINE LEARNING METHODS
PÖ Kavas, MR Bozkurt - Journal of Scientific Reports-A, 2022 - dergipark.org.tr
Regarding heart failure (HF), reducing mortality and prolonging life is one of the main
treatment goals. Many clinical studies define HF patients according to Left Ventricular …
treatment goals. Many clinical studies define HF patients according to Left Ventricular …
Rule-Based Artificial Intelligence Algorithm for Early Diabetes Diagnosis
SN Çamur, MK Uçar - 2021 Medical Technologies Congress …, 2021 - ieeexplore.ieee.org
Diabetes is a chronic, non-communicable disease that progresses with increased blood
sugar levels and leads to severe harmful conditions. Diabetes is one of the leading causes …
sugar levels and leads to severe harmful conditions. Diabetes is one of the leading causes …
Achievement of Good Energy Efficiency in WSN using Sleep/Awake Technology
N Vashisht - 2023 3rd Asian Conference on Innovation in …, 2023 - ieeexplore.ieee.org
Wireless Sensor Networks (WSN) consist of numerous small battery powered sensors
designed to collect measurement data from specified locations within an area of interest …
designed to collect measurement data from specified locations within an area of interest …
IIR based digital filter design for denoising the photoplethysmography signal
Photoplethysmography is a bioelectrical signal obtained from regions where the body's
capillaries are dense, providing information about flowing blood volume. PPG signals …
capillaries are dense, providing information about flowing blood volume. PPG signals …
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S Alkan, MK Ucar - mecs-press.org
Coronary artery disease (CAD) causes millions of deaths worldwide every year. The earliest
possible diagnosis is quite important, as in any diseases, for heart diseases causing such a …
possible diagnosis is quite important, as in any diseases, for heart diseases causing such a …