AIMC Topic: Heart Rate

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Estimating oxygen uptake in simulated team sports using machine learning models and wearable sensor data: A pilot study.

PloS one Apr 21, 2025
Accurate assessment of training status in team sports is crucial for optimising performance and reducing injury risk. This pilot study investigates the feasibility of using machine learning (ML) models to estimate oxygen uptake (VO2) with wearable se...
Adult Humans Wearable Electronic Devices Male Machine Learning Oxygen Consumption Pilot Projects Young Adult Heart Rate Athletes Team Sports
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ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning.

BMC cardiovascular disorders Apr 7, 2025
A heart arrhythmia refers to a set of conditions characterized by irregular heart- beats, with an increasing mortality rate in recent years. Regular monitoring is essential for effective management, as early detection and timely treatment greatly imp...
Machine Learning Algorithms Reproducibility of Results Humans Predictive Value of Tests Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Diagnosis, Computer-Assisted Electrocardiography Action Potentials
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Randomized Trial on Electroacupuncture for Recovery of Postoperative Gastrointestinal Function Based on Long-Term Monitoring Device.

Annals of surgical oncology Apr 4, 2025
BACKGROUND: This research aimed to explore the efficacy and safety of electroacupuncture in promoting the recovery of postoperative gastrointestinal function and to discuss the potential mechanism on the basis of heart rate variability (HRV).
Electroacupuncture Middle Aged Gastrectomy Monitoring, Physiologic Aged Humans Postoperative Complications Heart Rate Recovery of Function Stomach Neoplasms Prognosis Follow-Up Studies Male Female
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Integrating deep learning with ECG, heart rate variability and demographic data for improved detection of atrial fibrillation.

Open heart Mar 31, 2025
BACKGROUND: Atrial fibrillation (AF) is a common but often undiagnosed condition, increasing the risk of stroke and heart failure. Early detection is crucial, yet traditional methods struggle with AF's transient nature. This study investigates how au...
Heart Rate Electrocardiography Predictive Value of Tests Atrial Fibrillation Male Middle Aged Deep Learning Humans Reproducibility of Results Databases, Factual Aged Female
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Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing.

Sensors (Basel, Switzerland) Mar 26, 2025
Chronic pain is prevalent and disproportionately impacts adults with a lower quality of life. Although subjective self-reporting is the "gold standard" for pain assessment, tools are needed to objectively monitor and account for inter-individual diff...
Humans Adult Male Machine Learning Female Blood Volume Chronic Pain Heart Rate Skin Temperature Respiratory Rate Middle Aged Pain Measurement Electromyography
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Synthetic ECG signal generation using generative neural networks.

PloS one Mar 25, 2025
Electrocardiogram (ECG) datasets tend to be highly imbalanced due to the scarcity of abnormal cases. Additionally, the use of real patients' ECGs is highly regulated due to privacy issues. Therefore, there is always a need for more ECG data, especial...
Signal Processing, Computer-Assisted Heart Rate Humans Machine Learning Algorithms Neural Networks, Computer Electrocardiography
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Automated ADHD detection using dual-modal sensory data and machine learning.

Medical engineering & physics Mar 24, 2025
This study explores using dual-modal sensory data and machine learning to objectively identify Attention-Deficit/Hyperactivity Disorder (ADHD), a neurodevelopmental disorder traditionally diagnosed through subjective clinical evaluations. Six machine...
Attention Deficit Disorder with Hyperactivity Humans Adolescent Machine Learning Child Heart Rate Female Automation Male
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Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review.

Biosensors Mar 21, 2025
The development of digital instruments for mental health monitoring using biosensor data from wearable devices can enable remote, longitudinal, and objective quantitative benchmarks. To survey developments and trends in this field, we conducted a sys...
Monitoring, Physiologic Heart Rate Mental Health Humans Wearable Electronic Devices Artificial Intelligence Biosensing Techniques
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Continuous real-time detection and management of comprehensive mental states using wireless soft multifunctional bioelectronics.

Biosensors & bioelectronics Mar 17, 2025
Quantitatively measuring human mental states that profoundly affect cognition, behavior, and recovery would revolutionize personalized digital healthcare. Detecting fatigue, stress, and sleep is particularly important due to their interdependence: pe...
Male Wearable Electronic Devices Biosensing Techniques Sleep Monitoring, Physiologic Fatigue Electrooculography Humans Wireless Technology Adult Electroencephalography Equipment Design Heart Rate
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Reconstruction of ECG from ballistocardiogram using generative adversarial networks with attention.

Biomedical physics & engineering express Mar 12, 2025
Electrocardiogram (ECG) is widely used to provide early warning signals for cardiovascular diseases. However, traditional twelve-lead ECG monitoring methods and smartwatch-based home solutions are unable to achieve daily long-term monitoring. Therefo...
Ballistocardiography Generative Adversarial Networks Humans Neural Networks, Computer Signal Processing, Computer-Assisted Heart Rate Algorithms Electrocardiography
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