Zobrazeno 1 - 10
of 512
pro vyhledávání: '"R peak"'
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 10078 (2024)
Electrocardiographic (ECG) R-peak detection is essential for every sensor-based cardiovascular health monitoring system. To validate R-peak detectors, comparing the predicted results with reference annotations is crucial. This comparison is typically
Externí odkaz:
https://doaj.org/article/6ac73602c7b644aa8208e4b740ccae2f
Autor:
Lucileide M. D. da Silva, Sérgio N. Silva, Luísa C. de Souza, Karolayne S. de Azevedo, Luiz Affonso Guedes, Marcelo A. C. Fernandes
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 736-750 (2024)
The literature on ECG delineation algorithms has seen significant growth in recent decades. However, several challenges still need to be addressed. This work aims to propose a lightweight R-peak-detection algorithm that does not require pre-setting a
Externí odkaz:
https://doaj.org/article/8d053ddea91142e387fe3756efa3cb7e
Autor:
Myoungsoo Kim, Yong-Soo Baek, Sang-Chul Lee, Dae-Hyeok Kim, Soonil Kwon, So-Ryung Lee, Eue-Keun Choi, Seung Yong Shin, Wonik Choi
Publikováno v:
IEEE Access, Vol 12, Pp 186035-186046 (2024)
Atrial fibrillation (AF) is the most common cardiac arrhythmia and can lead to serious complications, such as stroke, systemic embolism, and heart failure. Paroxysmal atrial fibrillation (PAF) is one of the critical AF types that should be detected a
Externí odkaz:
https://doaj.org/article/667761e7585648d4a83eac3b60557d7d
Publikováno v:
IEEE Access, Vol 12, Pp 167049-167058 (2024)
R peak detection is fundamental to the analysis of long-term electrocardiogram (ECG) signals. Despite their significant success in R peak detection, neural networks based on statistical learning usual require more than 50% of all data for training. H
Externí odkaz:
https://doaj.org/article/d2859ca70a30413fb183df918c0a8239
Publikováno v:
Sensors, Vol 24, Iss 17, p 5713 (2024)
Low-cost, portable devices capable of accurate physiological measurements are attractive tools for coaches, athletes, and practitioners. The purpose of this study was primarily to establish the validity and reliability of Movesense HR+ ECG measuremen
Externí odkaz:
https://doaj.org/article/1a16908efcbb4a52871a1559ace43320
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 11, Pp 19191-19208 (2023)
Heart rate variability (HRV) is derived from the R-R interval, which depends on the precise localization of R-peaks within an electrocardiogram (ECG) signal. However, current algorithm assessment methods prioritize the R-peak detection's sensitivity
Externí odkaz:
https://doaj.org/article/b02ee0d8260f48e7bc80a8167da1d7ae
Publikováno v:
AIMS Bioengineering, Vol 10, Iss 3, Pp 283-299 (2023)
Robust QRS detection is crucial for accurate diagnosis and monitoring of cardiovascular diseases. During the detection process, various types of noise and artifacts in the electrocardiogram (ECG) can degrade the accuracy of algorithm. Previous QRS de
Externí odkaz:
https://doaj.org/article/8130308ecc8644f08f0282c91c6f853c
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 763-771 (2023)
When the workers of electric power industry are going to perform high-risk or dispatching operations, it is important to assess the emotional state of the workers. Emotion recognition is helpful to justify whether the works are suitable to grasp and
Externí odkaz:
https://doaj.org/article/e083e1c521cc4fe8a60a789961eff4aa
Autor:
Fenny Winda Rahayu, Mohammad Reza Faisal, Dodon Turianto Nugrahadi, Radityo Adi Nugroho, Muliadi Muliadi, Sri Redjeki
Publikováno v:
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), Vol 18, Iss 2 (2024)
Electrocardiogram (ECG) signals are a very important tool for clinical diagnosis and can be used as a new biometric modality. The aim of this research is to determine the results of ECG signal processing using RNN methods such as the Long Short Term
Externí odkaz:
https://doaj.org/article/ba47a176c6ae4156b8154b90051f6224
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101608- (2024)
The computational detection of R-peaks in an electrocardiogram (ECG) is particularly important for assessing vital signs in ambulatory settings. Algorithmic approaches are mainly open source and available for research purposes, primarily in the Pytho
Externí odkaz:
https://doaj.org/article/88089b5808e0473a91dccaf760f021c1