Automatic classification of cardiac arrhythmias based on hybrid features and decision tree algorithm

S Sahoo, A Subudhi, M Dash, S Sabut - International Journal of …, 2020 - Springer
Accurate classification of cardiac arrhythmias is a crucial task because of the non-stationary
nature of electrocardiogram (ECG) signals. In a life-threatening situation, an automated …

Detecting thermal anomalies in buildings using frequency and temporal domains analysis

SN Wanasundara, A Wickramasinghe… - Journal of Building …, 2023 - Elsevier
Identifying and modifying areas in a building where thermal anomalies occur will help to
maintain a comfortable indoor thermal environment while reducing energy waste. In this …

Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline

S Al-Yousif, IA Najm, HS Talab, NH Al Qahtani… - PeerJ Computer …, 2022 - peerj.com
Context: The computerization of both fetal heart rate (FHR) and intelligent classification
modeling of the cardiotocograph (CTG) is one of the approaches that are utilized in assisting …

Human presence detection in emergency situations using deep learning based audio-visual systems

İ Geneci - 2022 - open.metu.edu.tr
The significance of emergency event detection in surveillance systems has drawn the
attention of researchers in recent years. Existing methods mostly depend on visual data to …

Feature Extraction of Hidden Oscillation in ECG Data via Multiple-FOD Method

EC Erkuş, V Purutçuoğlu - … in Engineering Problems: Proceedings of the …, 2020 - Springer
Fourier transform (FT) is a non-parametric method which can be used to convert the time
domain data into the frequency domain and can be used to find the periodicity of oscillations …