Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse wave, heart rate and respiration rate with better accuracy. However, most existing ANN-based methods require substantial computing resources, which poses challenges for effective deployment on mobile devices. Spiking neural networks (SNNs), on the other hand, hold immense potential for energy-efficient deep learning owing to their binary and event-driven architecture.
View Article and Find Full Text PDFRemote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have served a valuable role in the development of this technology and improvements in accuracy over recent years. However, there remain gaps in the public datasets.
View Article and Find Full Text PDFForsythia suspensa (Thunb.) Vahl (Oleaceae) leaves are valuable sources of phillygenin. This study aimed to isolate phillygenin from F.
View Article and Find Full Text PDFAflatoxin B (AFB), a mycotoxin contaminating food and feed, can trigger liver immune toxicity and threaten the poultry industry. Phillygenin (PHI) is a natural lignan derived primarily from Forsythia suspensa with hepatoprotective pharmacological and medicinal properties. This research aimed to investigate the preventive effects of PHI on the toxicity of AFB in the liver of chickens.
View Article and Find Full Text PDFPhillygenin, as an active ingredient of Forsythia suspensa, possesses a wide range of biological and pharmacological activity. However, its development and application are restricted due to its poor bioavailability and low solubility. Our work aimed to develop a self-microemulsifying drug delivery system to improve the oral bioavailability of phillygenin.
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