Results 81 to 90 of about 7,351 (197)
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
A smart headband for multimodal physiological monitoring in human exercises
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
Perfusion assessment in rat spinal cord tissue using photoplethysmography and laser Doppler flux measurements [PDF]
Animal models are widely used to investigate the pathological mechanisms of spinal cord injury (SCI), most commonly in rats. It is well known that compromised blood flow caused by mechanical disruption of the vasculature can produce irreversible damage ...
Cibert-Goton, V. +3 more
core +1 more source
Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes
In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran +7 more
wiley +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
Time-Series U-Net With Recurrence for Noise-Robust Imaging Photoplethysmography
Remote estimation of vital signs enables health monitoring for situations in which contact-based devices are either not available, too intrusive, or too expensive. In this paper, we present a modular pipeline for pulse signal estimation from video of the
Vineet R. Shenoy +5 more
doaj +1 more source
Videos of the human skin contain subtle color variations associated with the blood volume pulse. This remote photoplethysmography signal can be used for heart rate monitoring and represents an alternative to signals obtained from contact-based hardware ...
Spicher Nicolai +3 more
doaj +1 more source
An optical fiber photoplethysmographic system for central nervous system tissue [PDF]
A new system for measuring the oxygen saturation of blood within tissue has been developed, for a number of potential patient monitoring applications.
George, K. +4 more
core +1 more source
Abstract Recurrent seizures, the hallmark of epilepsy, are influenced by rhythms operating over multiple timescales. Chronobiology is the study of biological timing that aims to explain temporal patterns of events like seizures. Fueled by recent advances in genetics, computational modeling, and device engineering, the chronobiology of epilepsy is now a
Maxime O. Baud +4 more
wiley +1 more source
Evaluation of the Linear Relationship Between Pulse Arrival Time and Blood Pressure in ICU Patients: Potential and Limitations [PDF]
A variety of techniques based on the indirect measurement of blood pressure (BP) by Pulse Transit Time (PTT) have been explored over the past few years.
Braiam Escobar-Restrepo +3 more
core +2 more sources

