AIMC Topic: Heart Rate
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation.
Scientific reports
Jul 29, 2025
The timely detection of abnormal health conditions is crucial in achieving successful medical intervention and enhancing patient outcomes. Despite advances in health monitoring, existing methods often struggle with achieving high accuracy, sensitivit...
Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning.
PloS one
Jul 28, 2025
In the intensive care unit (ICU), managing traumatic brain injury (TBI) patients presents significant challenges due to the dynamic interaction between physiological and clinical markers. This study aims to uncover these subtle interconnections and i...
Tackling inter-subject variability in smartwatch data using factorization models.
Scientific reports
Jul 23, 2025
Smartwatches enable longitudinal and continuous data acquisition. This has the potential to remotely monitor (changes) of the health of users. However, differences among subjects (inter-subject variability) limit a model to generalize to unseen subje...
Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study.
JMIR medical informatics
Jul 16, 2025
BACKGROUND: Wearable devices are increasingly used for monitoring health and detecting digital biomarkers related to chronic diseases such as metabolic syndrome (MetS). Although circadian rhythm disturbances are known to contribute to MetS, few studi...
Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning.
Scientific reports
Jul 10, 2025
Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep deprivation. Drowsiness significantly impairs a driver'...
Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.
BMJ health & care informatics
Jul 10, 2025
OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic information from the vital signs alone.
Filter-type neural network-based counter-pulsation control in pulsatile ECMO: improving heartbeat-pulse discrimination and synchronization accuracy.
Biomedical engineering online
Jul 7, 2025
Implementing counter-pulsation (CP) control in pulsatile extracorporeal membrane oxygenator (p-ECMO) systems offers a refined approach to mitigate risks commonly associated with conventional ECMOs. To attain CP between the p-ECMO and heart, accurate ...
Can circadian rhythms of heart rate variability identify major depressive disorder? - A study based on support vector machine analysis.
Asian journal of psychiatry
Jul 3, 2025
BACKGROUND: Major depressive disorder (MDD) is a prevalent and severe psychiatric condition for which objective diagnostic tools are lacking. Heart rate variability (HRV), an index of autonomic nervous system (ANS) function, has shown potential for d...
Machine learning evaluation model of pilot workload in a low-visibility environment.
Scientific reports
Jul 1, 2025
To analyze the variation trend of pilots' workload in a low-visibility flight environment and then put forward a scientific evaluation method, this study set up an experimental platform using an E01-pro simulated flight platform and a PhysioPlux mult...
Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.
Scientific reports
Jun 23, 2025
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide accessible alternatives to traditional methods, but their efficacy remains modest, potentially due to ...
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