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Wearable Technologies/Consumer Sleep Technologies in Relation to Sleep Disorders Developments in the Last Decade
Wearable devices [consumer sleep technologies (CSTs)] have disrupted sleep disorders management in the world today. In the USA, sleep disorders are...
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Biomedical Photonics Methods in Solving Diagnostic Tasks
Modern photonics methods are considered in relation to solving a number of diagnostic problems in practical medicine. The basic principles of the...
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A digital biomarker of diabetes from smartphone-based vascular signals
The global burden of diabetes is rapidly increasing, from 451 million people in 2019 to 693 million by 2045
1 . The insidious onset of type 2 diabetes...
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Automatic Classification of Emotions Based on Cardiac Signals: A Systematic Literature Review
Emotions play a pivotal role in human cognition, exerting influence across diverse domains of individuals’ lives. The widespread adoption of...
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Automated Scoring of Sleep and Associated Events
Conventionally, sleepSleeps and associated events are scored visually by trained technologists according to the rules summarized in the American...
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Wearable activity trackers–advanced technology or advanced marketing?
Wearable devices represent one of the most popular trends in health and fitness. Rapid advances in wearable technology present a dizzying display of...
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Design and implementation of intelligent patient in-house monitoring system based on efficient XGBoost-CNN approach
Because of the scarcity of caregivers and the high cost of medical devices, it is difficult to keep track of the aging population and provide...
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Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea–Hypopnea Events from the Oximetry Signal
Automated analysis of the blood oxygen saturation (SpO2) signal from nocturnal oximetry has shown usefulness to simplify the diagnosis of obstructive...
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SPECMAR: fast heart rate estimation from PPG signal using a modified spectral subtraction scheme with composite motion artifacts reference generation
The task of heart rate estimation using photoplethysmographic (PPG) signal is challenging due to the presence of various motion artifacts in the...
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The Investigation of Bio-impedance Analysis at a Wrist Phantom with Two Pulsatile Arteries
PurposeBio-impedance analysis (BIA) has been widely investigated for hemodynamic monitoring. However, previous works rarely modelled two...
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Volume elastic modulus with exponential function of transmural pressure as a valid stiffness measure derived by photoplethysmographic volume-oscillometry in human finger and radial arteries: potential for arteriosclerosis screening
Noninvasive and convenient measurement of vascular stiffness is of considerable importance for early detection and treatment of arteriosclerosis....
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Tracheal Sound Analysis
Tracheal sound sensors provide multiple respiratory signals that are valuable for studying upper airway characteristics. This chapter reviews the...
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Launching Your VR Neuroscience Laboratory
The proliferation and refinement of affordable virtual reality (VR) technologies and wearable sensors have opened new frontiers in cognitive and...
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Fast body part segmentation and tracking of neonatal video data using deep learning
Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal intensive care unit (NICU) is a promising...
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Data-driven natural computational psychophysiology in class
Objective. The assessment of mental fatigue (MF) and attention span in educational and healthcare settings frequently relies on subjective scales or...
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Digital outcome measures from smartwatch data relate to non-motor features of Parkinson’s disease
Monitoring of Parkinson’s disease (PD) has seen substantial improvement over recent years as digital sensors enable a passive and continuous...
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Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements
In the assessment of autonomic function by heart rate variability (HRV), the framework that the power of high-frequency component or its surrogate...
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ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder
Children with Autism Spectrum disorder (ASD) often experience high levels of anxiety and stress. Many children with ASD have difficulty in being...
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The role of the peripheral and central adrenergic system in the construction of the subjective emotional experience of panic
RationaleAlthough the study of emotions can look back to over 100 years of research, it is unclear which information the brain uses to construct the...
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Improved bioimpedance spectroscopy tissue classification through data augmentation from generative adversarial networks
AbstractBioimpedance spectroscopy is a tissue classification technique with many clinical applications. Similarly to other data-driven methods, it...
