Article
Optics
Yussif Moro Awelisah, Gang Li, Muhammad Ijaz, Ling Lin
Summary: The study introduces a novel filtering method based on dynamic spectrum (DS) to process optical PPG signals using adaptive time varying filter (ATVF) for spectral amplification and maximum detection of blood components. Results confirm that spectral amplification of PPG signals significantly influences the accuracy of blood components detection, introducing noise effects.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Gang Li, Dan Wang, Guozhong Liu, Xiaofei Wang, Kang Wang, Peng Zhao, Ling Lin
Summary: Noninvasive detection of blood components is an ideal and effective method for preventing and detecting clinical diseases. This study improves the signal-to-noise ratio in all aspects of dynamic spectrum data processing to achieve noninvasive detection of globulin. Through reasonable pretreatment, extraction, quality evaluation, and variable screening, the valid information of the spectrum is maximized. The results show that the model established by dynamic spectrum treated by this method has good predictive performance for globulin.
ANALYTICA CHIMICA ACTA
(2022)
Article
Chemistry, Analytical
Abhishek Tiwari, Raymundo Cassani, Shruti Kshirsagar, Diana P. Tobon, Yi Zhu, Tiago H. Falk
Summary: This passage introduces the background and applications of wearable devices, and proposes a signal processing representation. This representation can improve data quality, enhance the robustness of signal feature extraction, and be used for disease detection. The article provides an overview of multiple applications developed by the authors over the past decade, along with experimental results and comparisons with state-of-the-art benchmark methods. Open-source software is showcased, aiming to develop new applications. Finally, possible future research directions are discussed.
Article
Engineering, Multidisciplinary
Jinghui Han, Zhiyong Liu, Kaiwei Cao, Long Xu, Tielin Shi, Guanglan Liao
Summary: This paper presents a near-infrared fiber-optic multispectral method for in-situ online cutting temperature measurement. The method optimizes the lower limit of temperature measurement while improving accuracy. The experiments and results show the positive correlation between cutting temperature and tool wear, and the capability of the system in heavy-duty turning. The research has promising prospects in cutting mechanism research, machining status monitoring, and industrial applications.
Article
Chemistry, Analytical
Aleksandar Stojmenski, Marjan Gusev, Ivan Chorbev, Stojancho Tudjarski, Lidija Poposka, Marija Vavlukis
Summary: This paper explores the relationship between heart rate variability (HRV) and the age and gender of patients. By developing mathematical and machine learning models, a classification detector and level estimator were created to improve the performance of a noninvasive glucose estimator. The study found a moderate correlation between age, gender, and HRV, shedding light on the complex interplay between individual parameters.
Article
Radiology, Nuclear Medicine & Medical Imaging
Koichiro Morita, Akihiro Nishie, Yasuhiro Ushijima, Yukihisa Takayama, Nobuhiro Fujita, Yuichiro Kubo, Keisuke Ishimatsu, Tomoharu Yoshizumi, Junki Maehara, Kousei Ishigami
Summary: Liver parenchymal iodine density and CT-ECV measured by dual-layer spectral detector CT can be useful for predicting a high stage of liver fibrosis, with CT-ECV showing better diagnostic accuracy for staging fibrosis.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Chemistry, Analytical
Gang Li, Kang Wang, Dan Wang, Ling Lin
Summary: Noninvasive detection of blood glucose is an urgent problem in the prevention, treatment, and management of diabetes. This paper proposes a system for non-invasive quantitative analysis of human blood glucose based on the dynamic spectrum (DS) method and the M + N00 theory. The system shows good prediction performance and has application value for non-invasive real-time detection of human blood components.
ANALYTICA CHIMICA ACTA
(2022)
Article
Instruments & Instrumentation
Jing Ni, Gang Li, Wei Tang, Qiuyue Xiao, Ling Lin
Summary: This study applied dynamic spectrum theory to noninvasive human RBC counting, utilized one-by-one elimination method to improve signal-to-noise ratio, and validated the effectiveness with 317 volunteers. The results suggest the potential of clinical application for noninvasive human RBC counting using DS theory.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Telecommunications
Peppino Fazio, Miralem Mehic, Miroslav Voznak
Summary: In this study, a new approach to mobility prediction by analyzing the effects of a proper mobility sampling frequency was proposed. The spectral content of mobility traces was considered to determine the appropriate sampling frequency, which was found to have significant effects on the characteristics of mobility. Simulation campaigns were performed to observe and evaluate these effects.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Article
Genetics & Heredity
Yaya Guo, Dandan Yu, Kaisu Zhou, Jie Wang, Dongzhu Lei, Zhenpeng Xu, Weijiang Tang, Miaofeng Wu, Xingxing Fang, Jiankun Shen, Zhiyu Peng, Jiale Xiang
Summary: This study investigated the impact of in vitro hemolysis on noninvasive prenatal testing (NIPT). The results showed that slight or moderate hemolysis did not significantly affect the quality of NIPT, but severe hemolysis may increase the risk of test failure.
BMC MEDICAL GENOMICS
(2022)
Article
Chemistry, Analytical
Yuchao Fu, Meizhen Huang, Xiulian Chen
Summary: The study proposed a noninvasive CGM method based on DNIRS, utilizing FFPB to control environmental variables and physicochemical parameters during spectral data acquisition. The results show that the model has good prediction accuracy and robustness, allowing for continuous monitoring of blood glucose variations in the human body.
VIBRATIONAL SPECTROSCOPY
(2021)
Article
Computer Science, Information Systems
Kendall Parker, Matthew Hale, Prabir Barooah
Summary: Spectral differential privacy (SpDP) is a form of differential privacy designed to protect the frequency content of time-series data from wide sense stationary stochastic processes. It provides privacy guarantees that are independent of the time duration over which data are collected or shared, and offers higher utility compared to time-domain trajectory-level DP through smaller noise added.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Instruments & Instrumentation
Gang Li, Leiyang Cheng, Meiling Fan, Ling Lin
Summary: This paper proposes an optimized single-trail extraction method for dynamic spectroscopy to improve the quality of the spectrum. The method eliminates the sampling points deviating from the fitting line and enhances the dynamic spectrum by averaging the slopes between each sampling point. Experimental results show that the optimized method effectively improves spectral smoothness and modeling effect, contributing to the accuracy of noninvasive blood component analysis.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Si-Cong Zhu, Xi-Ya Gao, Zhu-Shan-Ying Zhang, Hui-Mi Cao, Dong-Yun Zheng, Li Zhang, Qin-Lan Xie, Ji-Ming Sa
Summary: This study investigated the predictability of partial least squares (PLS) model using different dataset partitioning methods and examined the influence of various pretreatment methods on the prediction accuracy of PLS quantitative analysis model using spectral data of blood samples and imitation solution samples with different concentrations of hemoglobin. The optimal dataset partitioning method for both datasets was found to be the SPXY method, and the best pretreatment combinations were determined to be S_G1 + WT for blood samples and SNV + WT for imitation solution samples.
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
(2022)
Article
Computer Science, Hardware & Architecture
Zongyao Hu, Lixiong Liu
Summary: The paper proposes a novel video quality assessment model that considers the impact of motion estimation and quality variations on distortion perception. By decomposing videos into reflectance and illumination components, extracting scene features, calculating structure differences to mitigate foreground apertures, and analyzing quality variations, the model aims to improve video quality predictions.
Article
Instruments & Instrumentation
Linna Zhang, Meixiu Sun, Zhennan Wang, Hongxiao Li, Yingxin Li, Gang Li, Ling Lin
INFRARED PHYSICS & TECHNOLOGY
(2017)
Article
Instruments & Instrumentation
Mengqiu Zhang, Gang Li, ShaoHui Wang, Zhigang Fu, Yang Guan, Ling Lin
INFRARED PHYSICS & TECHNOLOGY
(2017)
Article
Instruments & Instrumentation
Linna Zhang, Gang Li, Meixiu Sun, Hongxiao Li, Zhennan Wang, Yingxin Li, Ling Lin
INFRARED PHYSICS & TECHNOLOGY
(2017)
Article
Instruments & Instrumentation
Linna Zhang, Shengzhao Zhang, Meixiu Sun, Hongxiao Li, Yingxin Li, Zhigang Fu, Yang Guan, Gang Li, Ling Lin
INFRARED PHYSICS & TECHNOLOGY
(2017)
Article
Instruments & Instrumentation
Gang Li, Yue Yu, Cui Zhang, Ling Lin
REVIEW OF SCIENTIFIC INSTRUMENTS
(2017)
Correction
Instruments & Instrumentation
Wenting Dai, Ling Lin, Gang Li
REVIEW OF SCIENTIFIC INSTRUMENTS
(2017)
Article
Instruments & Instrumentation
Xiaoqing Yi, Gang Li, Ling Lin
REVIEW OF SCIENTIFIC INSTRUMENTS
(2017)
Article
Instruments & Instrumentation
Xiaoqing Yi, Liling Hao, Fangfang Jiang, Lisheng Xu, Shaoxiu Song, Gang Li, Ling Lin
REVIEW OF SCIENTIFIC INSTRUMENTS
(2017)
Article
Instruments & Instrumentation
Shengzhao Zhang, Linna Zhang, Gang Li, Ling Lin
REVIEW OF SCIENTIFIC INSTRUMENTS
(2017)
Article
Spectroscopy
Gang Li, Sijia Xu, Mei Zhou, Qirui Zhang, Ling Lin
SPECTROSCOPY LETTERS
(2017)
Article
Chemistry, Multidisciplinary
Shengzhao Zhang, Gang Li, Jiexi Wang, Donggen Wang, Ying Han, Minxia Liu, Ling Lin
Article
Chemistry, Multidisciplinary
Yao Peng, Gang Li, Mei Zhou, Huaile Wang, Ling Lin
Article
Chemistry, Analytical
Qiwen Bao, Gang Li, Zhengchun Yang, Jun Wei, Wenbo Cheng, Zilian Qu, Ling Lin
Summary: In this study, a workstation with high-throughput detection requirements was developed, which supports parallel signal stimulation and online electrochemical analysis functions. The platform utilizes a highly integrated Bluetooth chip for wireless data transmission and can be visualized on a smartphone. By using a carbon-graphene oxide/screen-printed carbon electrodes (CB-GO/SPCE), the electrochemical performance of the electrodes was examined for the online analysis of L-tyrosine (Tyr) using differential pulse voltammetry (DPV). The multi-channel electrochemical platform with CB-GO-based screen-printed array electrodes showed low detection limit, good interference immunity, and stability for Tyr detection.
Article
Chemistry, Analytical
Ximeng Feng, Haixia Yu, Xiaoqing Yi, Shaohui Wang, Gang Li, Ling Lin
ANALYTICAL METHODS
(2017)
Article
Spectroscopy
Zhu Xian-feng, Jiao Bin, Zhao Jing, Li Gang, Lin Ling
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2017)
Article
Chemistry, Analytical
Gang Qu, Yuxin Zhao, Qiaoli Zhang, Jina Wu, Xiaosen Li, Yang Yang, Shilei Liu
Summary: In this study, magnetic mesoporous materials combined with real-time in situ mass spectrometry were used for the high-throughput detection of hydrolyzed products of organophosphorus nerve agents. The method showed good linearity, low limits of detection and quantification, and high extraction recoveries. The magnetic preparation method used was quick, cost-effective, rugged, and safe. The results demonstrated the potential of this method for rapid and efficient determination of the target analytes in environmental samples.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Anna Hildebrand, Mariam Merchant, Danny O'Hare
Summary: Substandard and falsified artemisinin derivatives in antimalarials have caused significant deaths and economic losses. This study evaluates the feasibility of voltammetric methods for identifying and quantifying artemether. The findings suggest that electrochemical analysis shows promise as a method for artemether identification and quantification.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Marx Osorio Araujo Pereira, Alvaro Ferreira Junior, Edson Silvio Batista Rodrigues, Helena Mulser, Giovanna Nascimento de Mello e Silva, Wallans Torres Pio dos Santos, Eric de Souza Gil
Summary: Brazilian spotted fever (BSF) is a serious and rapidly evolving disease. A new impedimetric immunosensor was developed for rapid diagnosis by measuring specific antibodies in plasma. The sensor demonstrated selectivity and accuracy, and has potential for important applications in diagnostic testing.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Kathrin Schilling, Ronald A. Glabonjat, Olgica Balac, Marta Galvez-Fernandez, Arce Domingo-Relloso, Vesna Slavkovich, Jeff Goldsmith, Miranda R. Jones, Tiffany R. Sanchez, Ana Navas-Acien
Summary: Analysis of trace elements in urine is an important tool for assessing exposures, diagnosing nutritional status, and guiding public health and healthcare intervention. This study provides a sensitive method for analyzing 18 elements in urine samples, using only 100 μL. The results show good accuracy and sensitivity of the method.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Mengya Li, Shijie Liu, Shiliang Guo, Dong Liang, Miaoyun Li, Yaodi Zhu, Lijun Zhao, Jong-Hoon Lee, Gaiming Zhao, Yangyang Ma, Yanxia Liu
Summary: In this study, a magnetic flow device was developed to purify spores in a culture medium system. The device used magnetic nanoparticles to absorb vegetative cells, separating them from the spores. The achieved purity of the collected spores was over 95%. The study also demonstrated a rapid quantitative detection method using Raman spectroscopy.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Wanqiong Liu, Zixuan Wu, Jianwei Peng, Zebin Xu, Yong Liang
Summary: Metal-organic frameworks (MOFs) are effective carriers for molecular imprinting, but their poor dispersibility in aqueous solution is a significant drawback. In this study, we have applied amphiphilic block copolymers and molecularly imprinted technology on MOFs to improve the hydrophilicity of molecularly imprinted fluorescent materials.
ANALYTICAL METHODS
(2024)