The MotoNet: A 3 Tesla MRI-Conditional EEG Net with Embedded Motion Sensors [PDF]
Sensors, 2023 We introduce a new electroencephalogram (EEG) net, which will allow clinicians to monitor EEG while tracking head motion. Motion during MRI limits patient scans, especially of children with epilepsy. EEG is also severely affected by motion-induced noise,
Joshua Levitt +4 more
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BCG Signal Quality Assessment Based on Time-Series Imaging Methods [PDF]
Sensors, 2023 This paper describes a signal quality classification method for arm ballistocardiogram (BCG), which has the potential for non-invasive and continuous blood pressure measurement. An advantage of the BCG signal for wearable devices is that it can easily be
Sungtae Shin +6 more
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Surrogate modelling of heartbeat events for improved J-peak detection in BCG using deep learning [PDF]
Frontiers in Network PhysiologySleep, or the lack thereof, has far-reaching consequences on many aspects of human physiology, cognitive performance, and emotional wellbeing. To ensure undisturbed sleep monitoring, unobtrusive measurements such as ballistocardiogram (BCG) are essential
Christoph Schranz +4 more
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Using Ballistocardiogram and Impedance Plethysmogram for Minimal Contact Measurement of Blood Pressure Based on a Body Weight-Fat Scale [PDF]
Sensors, 2023 Electronic health (eHealth) is a strategy to improve the physical and mental condition of a human, collecting daily physiological data and information from digital apparatuses.
Shing-Hong Liu +4 more
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Effects of Ballistocardiogram Peak Detection Jitters on the Quality of Heart Rate Variability Features: A Simulation-Based Case Study in the Context of Sleep Staging [PDF]
Sensors, 2023 Heart rate variability (HRV) features support several clinical applications, including sleep staging, and ballistocardiograms (BCGs) can be used to unobtrusively estimate these features.
Ahmad Suliman +7 more
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System [PDF]
SensorsBlood pressure (BP) measurement is a major physiological information for people with cardiovascular diseases, such as hypertension, heart failure, and atherosclerosis.
Shing-Hong Liu +3 more
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Using machine learning models for cuffless blood pressure estimation with ballistocardiogram and impedance plethysmogram [PDF]
Frontiers in Digital HealthIntroductionBlood pressure (BP) serves as a crucial parameter in the management of three prevalent chronic diseases, hypertension, cardiovascular diseases, and cerebrovascular diseases.
Shing-Hong Liu +4 more
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AI-driven system for non-contact continuous nocturnal blood pressure monitoring using fiber optic ballistocardiography [PDF]
Communications EngineeringContinuous monitoring of nocturnal blood pressure is crucial for hypertension management and cardiovascular risk assessment. However, current clinical methods are invasive and discomforting, posing challenges.
Yandao Huang +13 more
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Applications of Ballistocardiogram in the Diagnosis of Coronary Heart Disease: Systematic Review [PDF]
JMIR CardioBackgroundCoronary heart disease (CHD) continues to account for a substantial proportion of deaths worldwide. Ballistocardiogram (BCG), a noncontact, noninvasive technique for monitoring cardiac activity, has gained increasing attention for its potential
Mairihaba Maimaiti +2 more
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A hybrid model for detecting motion artifacts in ballistocardiogram signals [PDF]
BioMedical Engineering OnLineBackground The field of contactless health monitoring has witnessed significant advancements with the advent of piezoelectric sensing technology, which enables the monitoring of vital signs such as heart rate and respiration without requiring direct ...
Yuelong Jiang, Han Zhang, Qizheng Zeng
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