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Mediation role of anxiety on social support and depression among diabetic patients in elderly caring social organizations in China during COVID-19 pandemic: a cross-sectional study (2023)
Journal Article
Zhao, L., Xu, F., Zheng, X., Xu, Z., Osten, B., Ji, K., …Chen, R. (2023). Mediation role of anxiety on social support and depression among diabetic patients in elderly caring social organizations in China during COVID-19 pandemic: a cross-sectional study. BMC Geriatrics, 23(1), Article 790. https://doi.org/10.1186/s12877-023-04502-z

Background: Diabetes has become a prominent global public health problem, which is an important cause of death, disease burden, and medical and health economic burden. Previous studies have reported that majority of persons diagnosed with diabetes la... Read More about Mediation role of anxiety on social support and depression among diabetic patients in elderly caring social organizations in China during COVID-19 pandemic: a cross-sectional study.

Learning based motion artifacts processing in fNIRS: a mini review (2023)
Journal Article
Zhao, Y., Luo, H., Chen, J., Loureiro, R., Yang, S., & Zhao, H. (2023). Learning based motion artifacts processing in fNIRS: a mini review. Frontiers in Neuroscience, 17, Article 1280590. https://doi.org/10.3389/fnins.2023.1280590

This paper provides a concise review of learning-based motion artifacts (MA) processing methods in functional near-infrared spectroscopy (fNIRS), highlighting the challenges of maintaining optimal contact during subject movement, which can lead to MA... Read More about Learning based motion artifacts processing in fNIRS: a mini review.

Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices (2023)
Conference Proceeding
Zang, Z., Dolinsky, U., Ghiglio, P., Cherubin, S., Goli, M., & Yang, S. (2023). Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices. In 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL) (351-352). https://doi.org/10.1109/FPL60245.2023.00062

Multi-Level Intermediate Representation (MLIR) is gaining increasing attention in reconfigurable hardware communities due to its capability to represent various abstract levels for software compilers. This project aims to be the first to provide an e... Read More about Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices.

A holistic human activity recognition optimisation using AI techniques (2023)
Journal Article
Li, Z., Liu, Y., Liu, B., Le Kernec, J., & Yang, S. (2024). A holistic human activity recognition optimisation using AI techniques. IET Radar, Sonar & Navigation, 18(2), 256-265. https://doi.org/10.1049/rsn2.12474

Building on previous radar-based human activity recognition (HAR), we expand the micro-Doppler signature to 6 domains and exploit each domain with a set of handcrafted features derived from the literature and our patents. An adaptive thresholding met... Read More about A holistic human activity recognition optimisation using AI techniques.

FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms (2023)
Presentation / Conference
Zhao, Y., Xia, Y., Loureiro, R., Zhao, H., Dolinsky, U., & Yang, S. (2023, September). FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms. Poster presented at FPL 2023: 33rd International Conference on Field-Programmable Logic and Applications, Gothenburg, Sweden

This demonstration showcases a novel FPGA development pipeline for developing a low-power and real-time motion artefact detection module for a wearable functional near-Infrared spectroscopy (fNIRS) processing system. We provide a brief overview of th... Read More about FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms.

A Fast Optical Coherence Tomography Angiography Image Acquisition and Reconstruction Pipeline for Skin Application (2023)
Journal Article
Liao, J., Yang, S., Zhang, T., Li, C., & Huang, Z. (2023). A Fast Optical Coherence Tomography Angiography Image Acquisition and Reconstruction Pipeline for Skin Application. Biomedical Optics Express, 14(8), 3899-3913. https://doi.org/10.1364/BOE.486933

Traditional high-quality OCTA images require multi-repeated scans (e.g., 4-8 repeats) in the same position, which may cause the patient to be uncomfortable. We propose a deep-learning-based pipeline that can extract high-quality OCTA images from only... Read More about A Fast Optical Coherence Tomography Angiography Image Acquisition and Reconstruction Pipeline for Skin Application.

The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study (2023)
Journal Article
Ding, S., Liu, G., Xu, F., Ji, K., Zhao, L., Zheng, X., …Chen, R. (2023). The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study. BMC Public Health, 23(1), Article 1206. https://doi.org/10.1186/s12889-023-15951-x

Background: With the deepening of China’s aging population, higher demands have been placed on the supply of elderly care services. As one of the main sources of providing elderly care services, the quality of service provided by elderly caring socia... Read More about The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study.

A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks (2023)
Journal Article
Liao, J., Yang, S., Zhang, T., Li, C., & Huang, Z. (2023). A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks. Journal of Biophotonics, 16(9), Article e202300100. https://doi.org/10.1002/jbio.202300100

Optical coherence tomography angiography (OCTA) has successfully demonstrated its viability for clinical applications in dermatology. Due to the high optical scattering property of skin, extracting high‐quality OCTA images from skin tissues requires... Read More about A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks.

Review of recent advances in frequency-domain near-infrared spectroscopy technologies (2023)
Journal Article
Zhou, X., Xia, Y., Uchitel, J., Collins-Jones, L., Yang, S., Loureiro, R., …Zhao, H. (2023). Review of recent advances in frequency-domain near-infrared spectroscopy technologies. Biomedical Optics Express, 14(7), 3234-3258. https://doi.org/10.1364/BOE.484044

Over the past several decades, near-infrared spectroscopy (NIRS) has become a popular research and clinical tool for non-invasively measuring the oxygenation of biological tissues, with particular emphasis on applications to the human brain. In most... Read More about Review of recent advances in frequency-domain near-infrared spectroscopy technologies.

Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset (2023)
Conference Proceeding
Zhao, Y., Xia, Y., Loureiro, R., Zhao, H., Dolinsky, U., & Yang, S. (2023). Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset. In IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL. https://doi.org/10.1145/3585341.3585380

Machine Learning has potential applications across a wide spectrum of devices. However, current approaches for domain-specific accelerators have encountered difficulties in satisfying the most recent computational demands for machine learning applica... Read More about Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset.

Radar-based Human Activity Recognition with Adaptive Thresholding towards Resource Constrained Platforms (2023)
Journal Article
Li, Z., Le Kernec, J., Abbasi, Q., Fioranelli, F., Yang, S., & Romain, O. (2023). Radar-based Human Activity Recognition with Adaptive Thresholding towards Resource Constrained Platforms. Scientific Reports, 13, Article 3473. https://doi.org/10.1038/s41598-023-30631-x

Radar systems are increasingly being employed in healthcare applications for human activity recognition due to their advantages in terms of privacy, contactless sensing, and insensitivity to lighting conditions. The proposed classification algorithms... Read More about Radar-based Human Activity Recognition with Adaptive Thresholding towards Resource Constrained Platforms.

The Human Activity Radar Challenge: benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University (2023)
Journal Article
Yang, S., Kernec, J. L., Romain, O., Fioranelli, F., Cadart, P., Fix, J., …Jin, T. (2023). The Human Activity Radar Challenge: benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University. IEEE Journal of Biomedical and Health Informatics, 27(4), 1813-1824. https://doi.org/10.1109/jbhi.2023.3240895

Radar is an extremely valuable sensing technology for detecting moving targets and measuring their range, velocity, and angular positions. When people are monitored at home, radar is more likely to be accepted by end-users, as they already use WiFi,... Read More about The Human Activity Radar Challenge: benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University.