Results 71 to 80 of about 7,515 (209)

Perfusion Changes at the Forehead Measured by Photoplethysmography during a Head-Down Tilt Protocol [PDF]

open access: yes, 2019
Photoplethysmography (PPG) signals from the forehead can be used in pulse oximetry as they are less affected by vasoconstriction compared to fingers.
Abay, T., Kyriacou, P. A., Shafqat, K.
core   +1 more source

Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration

open access: yesAdvanced Science, EarlyView.
A scalable, additive‐free wearable tailored passive radiative cooling textile (WRCT) with hierarchically structured fibers delivers exceptional thermal management, combining >95% solar reflectance, 0.96 mid‐infrared emissivity, and ultralow thermal conductivity (0.041 W/m·K).
Lung Chow   +24 more
wiley   +1 more source

Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography

open access: yesIEEE Access, 2020
Video-based noncontact detection of heart rate has a wide range of applications in the field of medicine and health. However, this method is susceptible to noise interference, making it difficult to effectively extract blood volume pulse (BVP) signals ...
Ken Cai   +4 more
doaj   +1 more source

Pulse oximetry in the oesophagus [PDF]

open access: yes, 2005
Pulse oximetry has been one of the most significant technological advances in clinical monitoring in the last two decades. Pulse oximetry is a non-invasive photometric technique that provides information about the arterial blood oxygen saturation (SpO(2))
Alexander C M   +74 more
core   +1 more source

A smart headband for multimodal physiological monitoring in human exercises

open access: yesAdvanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu   +7 more
wiley   +1 more source

A Pulsatile Optical Tissue Phantom for the Investigation of Light-Tissue Interaction in Reflectance Photoplethysmography [PDF]

open access: yes, 2019
The aim of this study was to investigate the effect of emitter-detector separation distance and arterial depth in reflectance photoplethysmography (PPG), utilizing a homogenous pulsatile phantom that exhibits the broad optical absorbance and scattering ...
Kyriacou, P. A., May, J.M., Nomoni, M.
core   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

open access: yesDeep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu   +4 more
wiley   +1 more source

Correlation Mapping of Perfusion Patterns in Cutaneous Tissue

open access: yesApplied Sciences, 2022
Perfusion patterns of cutaneous tissue represent a valuable source of information about the state of the patient’s cardiovascular system and autonomic nervous system (ANS).
Patrik Procka   +3 more
doaj   +1 more source

Video pulse rate variability analysis in stationary and motion conditions [PDF]

open access: yes, 2018
Background: In the last few years, some studies have measured heart rate (HR) or heart rate variability (HRV) parameters using a video camera. This technique focuses on the measurement of the small changes in skin colour caused by blood perfusion.
Melchor Rodríguez, Angel   +1 more
core   +3 more sources

Deep Learning in Cardiology

open access: yes, 2021
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis   +1 more
core   +1 more source

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