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An Integrated Approach for the Monitoring of Brain and Autonomic Response of Children with Autism Spectrum Disorders during Treatment by Wearable Technologies. |
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The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors. |
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Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification. |
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The PhysioCam: A Novel Non-Contact Sensor to Measure Heart Rate Variability in Clinical and Field Applications. |
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Are ultra-short heart rate variability features good surrogates of short-term ones? State-of-the-art review and recommendations. |
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Current and Future Point-of-Care Tests for Emerging and New Respiratory Viruses and Future Perspectives. |
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Objective measurement of sleep, heart rate, heart rate variability, and physical activity in suicidality: A systematic review. |
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Multichannel ECG recording from waist using textile sensors. |
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Panel study using novel sensing devices to assess associations of PM(2.5) with heart rate variability and exposure sources. |
J Expo Sci Environ Epidemiol |
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The Relation between Physiological Parameters and Colour Modifications in Text Background and Overlay during Reading in Children with and without Dyslexia. |
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Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured With a Wearable and Smartphone App: Within-Subject Design Using Continuous Monitoring. |
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Trends in Heart-Rate Variability Signal Analysis. |
Front Digit Health |
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Heart rate variability and heart rate monitoring of nurses using PPG and ECG signals during working condition: A pilot study. |
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Preprocessing Methods for Ambulatory HRV Analysis Based on HRV Distribution, Variability and Characteristics (DVC). |
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Use of a Wearable Biosensor to Study Heart Rate Variability in Chronic Obstructive Pulmonary Disease and Its Relationship to Disease Severity. |
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2022 |
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Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. |
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2022 |
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Non-Invasive Solutions to Identify Distinctions Between Healthy and Mild Cognitive Impairments Participants. |
IEEE J Transl Eng Health Med |
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An automated heart rate-based algorithm for sleep stage classification: Validation using conventional polysomnography and an innovative wearable electrocardiogram device. |
Front Neurosci |
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Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly. |
Front Public Health |
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Ambient ultrafine particle (PM(0.1)): Sources, characteristics, measurements and exposure implications on human health. |
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Exploring the Potential of Pulse Transit Time as a Biomarker for Sleep Efficiency through a Comparison Analysis with Heart Rate and Heart Rate Variability. |
Sensors (Basel) |
2023 |
Bridges J;Shishavan HH;Salmon A;Metersky M;Kim I |
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Uninterrupted real-time cerebral stress level monitoring using wearable biosensors: A review. |
Biotechnol Appl Biochem |
2023 |
Mishra A;Agrawal M;Ali A;Garg P |
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Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling. |
Cell Rep Methods |
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