Results 1 to 10 of about 1,386 (137)

NISQE: Non-Intrusive Speech Quality Evaluator Based on Natural Statistics of Mean Subtracted Contrast Normalized Coefficients of Spectrogram [PDF]

Sensors, 2023
With the evolution in technology, communication based on the voice has gained importance in applications such as online conferencing, online meetings, voice-over internet protocol (VoIP), etc.
Shakeel Zafar, Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Jihyoung Ryu   +4 more
doaj   +2 more sources

A Robust Approach Assisted by Signal Quality Assessment for Fetal Heart Rate Estimation from Doppler Ultrasound Signal [PDF]

Sensors, 2023
Fetal heart rate (FHR) monitoring, typically using Doppler ultrasound (DUS) signals, is an important technique for assessing fetal health. In this work, we develop a robust DUS-based FHR estimation approach complemented by DUS signal quality assessment ...
Xintong Shi, Natsuho Niida, Kohei Yamamoto, Tomoaki Ohtsuki, Yutaka Matsui, Kazunari Owada   +5 more
doaj   +2 more sources

Introduction to electrocardiogram signal quality assessment and estimated accuracy for textile electrodes [PDF]

Scientific Reports
As the use of wearable electrocardiogram (ECG) data for modeling purposes continues to rise, there is a pressing need for signal quality assessment (SQA) algorithms capable of identifying segments of signal from which reliable data can be obtained ...
Neusa R. Adão Martins, Frederik Bauer, Florent Baty, Maximilian Boesch, Martin H. Brutsche, René M. Rossi, Simon Annaheim   +6 more
doaj   +2 more sources

Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study

JMIR mHealth and uHealth, 2021
BackgroundWith the development and promotion of wearable devices and their mobile health (mHealth) apps, physiological signals have become a research hotspot.
Haoran Xu, Wei Yan, Ke Lan, Chenbin Ma, Di Wu, Anshuo Wu, Zhicheng Yang, Jiachen Wang, Yaning Zang, Muyang Yan, Zhengbo Zhang   +10 more
doaj   +2 more sources

Fetal QRS Detection in Noninvasive Abdominal Electrocardiograms Using Principal Component Analysis and Discrete Wavelet Transforms with Signal Quality Estimation [PDF]

Journal of Biomedical Physics and Engineering, 2021
Background: Fetal heart rate (FHR) extracted from abdominal electrocardiogram (ECG) is a powerful non-invasive method in appropriately assessing the fetus well-being during pregnancy.
Mohammad Javad Mollakazemi, Farhad Asadi, Mahsa Tajnesaei, Ali Ghaffari   +3 more
doaj   +2 more sources

A review: Blood pressure monitoring based on PPG and circadian rhythm [PDF]

APL Bioengineering
The demand for ambulatory blood pressure monitoring (ABPM) is increasing due to the global rise in cardiovascular disease patients. However, conventional ABPM methods are discontinuous and can disrupt daily activities and sleep patterns ...
Gang Chen, Linglin Zou, Zhong Ji
doaj   +2 more sources

Dynamic ECG Signal Quality Evaluation Based on the Generalized bSQI Index

IEEE Access, 2018
With the fast development of wearable electrocardiogram (ECG) monitoring, real-time and dynamic signal quality assessment (SQA) become an imperious demand. Thus, many signal quality indices (SQIs) have been developed in the past several years.
Feifei Liu, Chengyu Liu, Lina Zhao, Xinge Jiang, Zhimin Zhang, Jianqing Li, Shoushui Wei, Yuan Zhang   +7 more
doaj   +3 more sources

EcgScorer: An open source MATLAB toolbox for ECG signal quality assessment

SoftwareX
Cardiovascular diseases claim over 17 million lives annually. Prevention involves adopting healthy habits and regular check-ups, ideally outside hospitals to reduce healthcare costs, leveraging telemedicine tools.
Noura Alexendre, Fotsing Kuetche, Ntsama Eloundou Pascal, Simo Thierry   +3 more
doaj   +3 more sources

Simple, efficient, and generalized ECG signal quality assessment method for telemedicine applications

Informatics in Medicine Unlocked, 2023
Electrocardiogram (ECG) signals recorded by paramedics in an unsupervised environment are prone to errors and noise due to factors such as electrode misplacements and daily activities during prolonged monitoring.
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal, Simo Thierry   +3 more
doaj   +1 more source

Fusing depth local dual-view features and dual-input transformer framework for improving the recognition ability of motion artifact-contaminated electrocardiogram

Complex & Intelligent Systems, 2022
Heart health monitoring based on wearable devices is often contaminated by various noises to varying degrees. Using signal quality indicators (SQIs) to achieve signal quality assessment (SQA) is among the most promising ways to solve this problem, but ...
Shuaiying Yuan, Ziyang He, Jianhui Zhao, Zhiyong Yuan   +3 more
doaj   +1 more source