AIMC Topic: Respiratory Rate

Clear Filters Showing 51 to 60 of 61 articles

STConvSleepNet: A Spatiotemporal Convolutional Network for Sleep Posture Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Sleep posture, intricately connected to sleep health, has emerged as a crucial focus in sleep medicine. Studies have associated the supine posture with increased frequency and severity of obstructive sleep apnea (OSA), while lateral postures may miti...
Algorithms Female Adult Humans Neural Networks, Computer Heart Rate Sleep Respiratory Rate Male Posture Signal Processing, Computer-Assisted
View on PubMed DOI

Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
In this work, we classify the stress state of car drivers using multimodal physiological signals and regularized deep kernel learning. Using a driving simulator in a controlled environment, we acquire electrocardiography (ECG), electrodermal activity...
Respiratory Rate Machine Learning Photoplethysmography Electrocardiography Support Vector Machine
View on PubMed DOI

An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
This paper evaluates a range of deep learning frameworks for detecting respiratory anomalies from input audio. Audio recordings of respiratory cycles collected from patients are transformed into time-frequency spectrograms to serve as front-end two-d...
Humans Neural Networks, Computer Deep Learning Respiratory Rate
View on PubMed DOI

CapNet: A Deep Learning-based Framework for Estimation of Capnograph Signal from PPG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Ambulatory respiration signal extraction system is required to maintain continuous surveillance of a patient with respiratory deficiency. The capnograph signal has received a lot of attention in recent years as a valuable indicator of respiratory con...
Respiratory Rate Capnography Deep Learning Photoplethysmography Signal Processing, Computer-Assisted Humans
View on PubMed DOI

Revisiting motion-based respiration measurement from videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Video-based motion analysis gave rise to contactless respiration rate monitoring that measures subtle respiratory movement from a human chest or belly. In this paper, we revisit this technology via a large video benchmark that includes six categories...
Respiratory Rate Respiration Movement Humans Neural Networks, Computer Motion
View on PubMed DOI

High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
A 24GHz Doppler radar system for accurate contactless monitoring of heart and respiratory rates is demonstrated here. High accuracy predictions are achieved by employing a CNN+LSTM neural network architecture for regression analysis. Detection accura...
Neural Networks, Computer Algorithms Heart Rate Respiration Respiratory Rate
View on PubMed DOI

An Automated Algorithm Incorporating Poincaré Analysis Can Quantify the Severity of Opioid-Induced Ataxic Breathing.

Anesthesia and analgesia May 1, 2020
BACKGROUND: Opioid-induced respiratory depression (OIRD) is traditionally recognized by assessment of respiratory rate, arterial oxygen saturation, end-tidal CO2, and mental status. Although an irregular or ataxic breathing pattern is widely recogniz...
Analgesics, Opioid Respiratory Insufficiency Respiratory Rate Adult Male Severity of Illness Index Algorithms Female Humans Machine Learning
View on PubMed DOI

Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Oct 1, 2018
OBJECTIVES: We used artificial intelligence to develop a novel algorithm using physiomarkers to predict the onset of severe sepsis in critically ill children.
Machine Learning Prospective Studies Female Male Case-Control Studies Sepsis Humans Artificial Intelligence Predictive Value of Tests Heart Rate Organ Dysfunction Scores Respiratory Rate Intensive Care Units, Pediatric Logistic Models Monitoring, Physiologic Adolescent Child
View on PubMed DOI

Machine Learning in Rehabilitation Assessment for Thermal and Heart Rate Data Processing.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 1, 2018
Multimodal signal analysis based on sophisticated noninvasive sensors, efficient communication systems, and machine learning, have a rapidly increasing range of different applications. The present paper is devoted to pattern recognition and the analy...
Rehabilitation Machine Learning Respiratory Rate Algorithms Bicycling Heart Rate Body Temperature Exercise Humans Physical Fitness Respiration Neural Networks, Computer Pattern Recognition, Automated Electronic Data Processing
View on PubMed DOI

Evaluation of periodic breathing in respiratory flow signal of elderly patients using SVM and linear discriminant analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The pe...
Electrocardiography Support Vector Machine Discriminant Analysis Aged Humans Signal Processing, Computer-Assisted Aged, 80 and over Heart Failure Female Male Respiratory Rate
View on PubMed DOI
Popular Topics
Recent Journals