A Review of Methods and Applications for a Heart Rate Variability Analysis

SK Nayak, B Pradhan, B Mohanty, J Sivaraman… - Algorithms, 2023 - mdpi.com
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 …

Machine learning-based medical decision support system for diagnosing HFpEF and HFrEF using PPG

PÖ Kavas, MR Bozkurt, İ Kocayiğit, C Bilgin - Biomedical Signal Processing …, 2023 - Elsevier
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 …

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 …

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 …

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 …

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 …

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 …

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 …

IIR based digital filter design for denoising the photoplethysmography signal

Ö Erış, SB Erış, C Bılgın… - 2021 29th Signal …, 2021 - ieeexplore.ieee.org
Photoplethysmography is a bioelectrical signal obtained from regions where the body's
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 …