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Diagnosis of major depressive disorder by combining multimodal information from heart rate dynamics and serum proteomics using machine-learning algorithm. |
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Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures. |
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Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning. |
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Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? |
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Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. |
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Assessment of the Impact of Alcohol Consumption Patterns on Heart Rate Variability by Machine Learning in Healthy Young Adults. |
Medicina (Kaunas) |
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Prediction of GABA receptor antagonist-induced convulsion in cynomolgus monkeys by combining machine learning and heart rate variability analysis. |
J Pharmacol Toxicol Methods |
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COVID 19-related burnout among healthcare workers in India and ECG based predictive machine learning model: Insights from the BRUCEE- Li study. |
Indian Heart J |
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Machine learning analysis of heart rate variability to detect delayed cerebral ischemia in subarachnoid hemorrhage. |
Acta Neurol Scand |
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Cancer classification using machine learning and HRV analysis: preliminary evidence from a pilot study. |
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2021 |
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Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. |
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2021 |
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Event-related driver stress detection with smartphones among young novice drivers. |
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Early heart rate variability evaluation enables to predict ICU patients\' outcome. |
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Effect of temporal resolution on the detection of cardiac arrhythmias using HRV features and machine learning. |
Physiol Meas |
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Heart Rate Variability-Based Subjective Physical Fatigue Assessment. |
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Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. |
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Using machine learning to determine the correlation between physiological and environmental parameters and the induction of acute mountain sickness. |
BMC Bioinformatics |
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Classification of SARS-CoV-2 viral genome sequences using Neurochaos Learning. |
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An automated detection of atrial fibrillation from single鈥憀ead ECG using HRV features and machine learning. |
J Electrocardiol |
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Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach. |
PLoS One |
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Cao R;Rahmani AM;Lindsay KL |
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Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach. |
Annu Int Conf IEEE Eng Med Biol Soc |
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Cao R;Huang Y;Rahmani AM;Lindsay K |
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Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. |
Sensors (Basel) |
2022 |
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Classification of Drivers\' Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals. |
Sensors (Basel) |
2022 |
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Development and validation of a machine learning-based model for varices screening in compensated cirrhosis (CHESS2001): an international multicenter study. |
Gastrointest Endosc |
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Machine learning model for aberrant driving behaviour prediction using heart rate variability: a pilot study involving highway bus drivers. |
Int J Occup Saf Ergon |
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Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly. |
Front Public Health |
2022 |
Liu Z;Zhang L;Wu J;Zheng Z;Gao J;Lin Y;Liu Y;Xu H;Zhou Y |
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Generalisable machine learning models trained on heart rate variability data to predict mental fatigue. |
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2022 |
Matuz A;van der Linden D;Darnai G;Csatho A |
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Wearable Epileptic Seizure Prediction System Based on Machine Learning Techniques Using ECG, PPG and EEG Signals. |
Sensors (Basel) |
2022 |
Zambrana-Vinaroz D;Vicente-Samper JM;Manrique-Cordoba J;Sabater-Navarro JM |
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Heart and brain traumatic stress biomarker analysis with and without machine learning: A scoping review. |
Int J Psychophysiol |
2023 |
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A pilot study to predict cardiac arrest in the pediatric intensive care unit. |
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2023 |
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Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review. |
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Using machine learning to determine the time of exposure to infection by a respiratory pathogen. |
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Sharma K;Aminian M;Ghosh T;Liu X;Kirby M |
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Personalized seizure detection using logistic regression machine learning based on wearable ECG-monitoring device. |
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Identification of major depression patients using machine learning models based on heart rate variability during sleep stages for pre-hospital screening. |
Comput Biol Med |
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Global Stress Detection Framework Combining a Reduced Set of HRV Features and Random Forest Model. |
Sensors (Basel) |
2023 |
Dahal K;Bogue-Jimenez B;Doblas A |
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Dimensional emotion recognition from camera-based PRV features. |
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2023 |
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