AIMC Topic: Respiratory Rate

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Multivariate multi-horizon time-series forecasting for real-time patient monitoring based on cascaded fine tuning of attention-based models.

Computers in biology and medicine Aug 1, 2025
The real-time forecasting of critical physiological indicators in intensive care units (ICUs) is essential for early intervention and clinical decision support. This study introduces a novel framework, StreamHealth Multi-Horizon AI, which has been de...
Intensive Care Units Monitoring, Physiologic Respiratory Rate Humans Neural Networks, Computer Forecasting
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Enhanced Driver Stress Prediction from Multiple Biosignals via CNN Encoder-Decoder Model.

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
In this work, we present PhysioFuseNet, a novel framework designed to enhance driver stress state classification. PhysioFuseNet integrates a CNN-based encoder-decoder model with multimodal biosignal fusion. Using a driving simulator, different multim...
Humans Neural Networks, Computer Female Stress, Psychological Photoplethysmography Electrocardiography Adult Male Automobile Driving Support Vector Machine Signal Processing, Computer-Assisted Respiratory Rate
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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...
Heart Rate Sleep Respiratory Rate Posture Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Adult Male Female Humans
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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...
Support Vector Machine Respiratory Rate Photoplethysmography Electrocardiography Machine Learning
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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...
Respiratory Rate Neural Networks, Computer Deep Learning Humans
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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
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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...
Neural Networks, Computer Motion Humans Respiratory Rate Respiration Movement
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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...
Respiration Respiratory Rate Heart Rate Neural Networks, Computer Algorithms
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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...
Respiratory Insufficiency Respiratory Rate Male Humans Severity of Illness Index Machine Learning Analgesics, Opioid Algorithms Female Adult
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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.
Monitoring, Physiologic Machine Learning Predictive Value of Tests Heart Rate Prospective Studies Male Intensive Care Units, Pediatric Female Case-Control Studies Logistic Models Humans Adolescent Artificial Intelligence Organ Dysfunction Scores Child Sepsis Respiratory Rate
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