AIMC Topic: Respiratory Rate

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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...
Heart Rate Respiration Respiratory 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 Severity of Illness Index Analgesics, Opioid Algorithms Humans Female Machine Learning Adult Male
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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.
Adolescent Child Case-Control Studies Sepsis Monitoring, Physiologic Predictive Value of Tests Heart Rate Intensive Care Units, Pediatric Logistic Models Machine Learning Prospective Studies Female Male Humans Artificial Intelligence Organ Dysfunction Scores Respiratory Rate
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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...
Bicycling Rehabilitation Humans Neural Networks, Computer Machine Learning Pattern Recognition, Automated Body Temperature Heart Rate Physical Fitness Respiration Electronic Data Processing Algorithms Respiratory Rate Exercise
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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...
Respiratory Rate Male Aged Support Vector Machine Signal Processing, Computer-Assisted Electrocardiography Humans Aged, 80 and over Discriminant Analysis Heart Failure Female
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Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data.

Critical care medicine Jul 1, 2016
OBJECTIVE: The use of machine-learning algorithms to classify alerts as real or artifacts in online noninvasive vital sign data streams to reduce alarm fatigue and missed true instability.
Oximetry Respiratory Rate Humans Clinical Alarms Monitoring, Physiologic Artifacts Cohort Studies Supervised Machine Learning Vital Signs Blood Pressure Determination Heart Rate
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