A5039219511- Human Pose and Action Recognition
- Statistical Methods in Epidemiology
- Hemodynamic Monitoring and Therapy
- Advanced Chemical Sensor Technologies
- Anomaly Detection Techniques and Applications
- Marine Sponges and Natural Products
- Phonocardiography and Auscultation Techniques
- Smart Agriculture and AI
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Non-Invasive Vital Sign Monitoring
- Microbial Natural Products and Biosynthesis
- Advanced Measurement and Detection Methods
- Genomics and Phylogenetic Studies
- Infrared Target Detection Methodologies
- Gait Recognition and Analysis
- ECG Monitoring and Analysis
Sichuan University of Science and Engineering
2024
Helmholtz Institute for Pharmaceutical Research Saarland
2023
Helmholtz Centre for Infection Research
2023
Saarland University
2023
Shanghai Institute of Materia Medica
2023
Chinese Academy of Sciences
2022-2023
University of Science and Technology of China
2022
Suzhou Institute of Biomedical Engineering and Technology
2022
Millimeter Wave(mmWave) radar has been widely used in vital sign monitoring with non-contact and privacy protection. To reduce the effect of random body motion, respiration, its harmonics on heart rate estimation, based frequency-modulated continuous-wave (FMCW) is researched this paper. First, a signal extraction algorithm designed for Range Bin variation caused by motion heavy breathing. Second, heartbeat Adaptive Notch Filter (ANF) Empirical Wavelet Transform (EWT). The harmonic...
The World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and seventh-leading morbidity worldwide.[1] Acute exacerbations (AECOPD) are associated with an accelerated decline in lung function, diminished quality life, higher mortality.[2] Accurate early detection AECOPD contributes to better management reduction, recent past there been great progress development application machine learning (ML), which...
To address the challenge of insufficient detection rates and precision for miniature objects in infrared road scenes, we propose a refined object algorithm called SSTD-YOLO built upon YOLOv8 tailored environments. Our approach begins by leveraging SPD-Conv to mitigate loss detailed information stemming from prevalence small low image resolution. Furthermore, integrate triplet attention mechanism within C2F module enhance identification complex samples. Additionally, our model incorporates...
In the field of smart agriculture, rapid and accurate detection grape leaf diseases is crucial, especially for early-stage small lesions. To enhance efficiency detecting in resource-limited environments, this study presents an optimized lightweight model based on YOLOv8n framework, named YOLO-BMCA. By integrating upgraded ADown module incorporating CGBlock enhancements, not only improves capturing both local global information but also significantly reduces consumption computational...
The biosynthetic potential of actinobacteria to produce novel natural products is still regarded as immense. In this paper, we correlated a cryptic gene cluster chemical molecules by genome mining and analyses, leading the discovery new group catecholate-hydroxamate siderophores, nobachelins, from Nocardiopsisbaichengensis DSM 44845. Nobachelin biosynthesis genes are conserved in several bacteria family Nocardiopsidaceae. Structurally, nobachelins feature fatty-acylated hydroxy-ornithine...
Action quality assessment (AQA) is an important problem in computer vision applications. During human AQA, differences body size or changes position relative to the sensor may cause unwanted effects. We propose a motion registration method based on self-coordination (SC) and self-referential normalization (SRN). By establishing coordinate system using part of as normalized reference standard process raw data, standardization distinguishability data are improved. To demonstrate effectiveness...