Vital sign monitoring in car seats based on electrocardiography, ballistocardiography and seismocardiography: A review
This paper focuses on a thorough summary of vital function measuring methods in vehicles.
The focus of this paper is to summarize and compare already existing methods integrated …
The focus of this paper is to summarize and compare already existing methods integrated …
Automatic seizure detection by convolutional neural networks with computational complexity analysis
Abstract Background and Objectives Nowadays, an automated computer-aided diagnosis
(CAD) is an approach that plays an important role in the detection of health issues. The main …
(CAD) is an approach that plays an important role in the detection of health issues. The main …
A support system for automatic classification of hypertension using BCG signals
Hypertension (HPT) is a lethal medical disorder in which the blood vessels unusually have
high pressure for an extended period. It may raise the risk of various health complications …
high pressure for an extended period. It may raise the risk of various health complications …
[HTML][HTML] Classification of health deterioration by geometric invariants
Abstract Background and Objectives Prediction of patient deterioration is essential in
medical care, and its automation may reduce the risk of patient death. The precise …
medical care, and its automation may reduce the risk of patient death. The precise …
Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method
Upper airway obstruction is characterized by loss of normal airway architecture resulting
from various disorders such as infections and asthma. Early detection of airway obstruction …
from various disorders such as infections and asthma. Early detection of airway obstruction …
OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal
One-class classification (OCC) is a classification task where the training data have only one
class. The goal is to classify input data into one seen class or other unseen classes. This …
class. The goal is to classify input data into one seen class or other unseen classes. This …
Application of mechanical trigger for unobtrusive detection of respiratory disorders from body recoil micro-movements
Abstract Background and Objectives Automatic detection of breathing disorders plays an
important role in the early signalization of respiratory diseases. Measuring methods can be …
important role in the early signalization of respiratory diseases. Measuring methods can be …
Computer aided detection of breathing disorder from ballistocardiography signal using convolutional neural network
Sleep-related breathing disorders are diseases related to pharyngeal airway collapse. It can
lead to several health problems such as somnolence, poorer daytime cognitive …
lead to several health problems such as somnolence, poorer daytime cognitive …
A comparison of three heart rate detection algorithms over ballistocardiogram signals
I Sadek, B Abdulrazak - Biomedical Signal Processing and Control, 2021 - Elsevier
Heart rate (HR) detection from ballistocardiogram (BCG) signals is challenging because the
signal morphology can vary between and within-subjects. Also, it differs from one sensor to …
signal morphology can vary between and within-subjects. Also, it differs from one sensor to …
Motion robust imaging ballistocardiography through a two-step canonical correlation analysis
Imaging ballistocardiography (iBCG) is a video-based noncontact technique to detect heart
rate (HR) from weak mechanical head movements caused by heart beating. However, rigid …
rate (HR) from weak mechanical head movements caused by heart beating. However, rigid …