Xiaolei Cai^1*, Qi Sun^2*, Cen Qiu^2*, Zhenyu Xie¹, Jiahao He², Mengting Tu³, Xinran Zhang², Yang Liu², Zhaojun Tan², Yutong Xie², Xixuan He¹, Yujing Ren¹, Chunhong Xue¹, Siqi Wang², Linrong Yuan², Miao Yu², Xuelin Cheng⁴, Xiaopan Li⁴, Sunfang Jiang⁴, Huirong Zhu¹

¹Tangqiao Community Health Service Center, Shanghai 200127, China. ²Shanghai University of Medicine and Health Sciences, Shanghai 201318, China. ³Shanghai DianJi University, Shanghai 201306, China. ⁴Health Man-agement Center, Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032, China.*The authors contribute equally.

Address correspondence to: Sunfang Jiang, Health Management Center, Zhongshan Hospital Affiliated to Fudan University, Gate 5 East Campus, No. 179 Fenglin Road, Xuhui District, Shanghai 200032, China. Email: jiang.sunfang@zs-hospital.sh.cn. Huirong Zhu, Tangqiao Community Health Service Center, No.131 Pujian Road, Pudong New District, Shanghai 200127, China. Email: rachel1022@126.com.

DOI: https://doi.org/10.61189/568091unpkqk

Received May 11, 2024; Accepted July 16, 2024; Published September 30, 2024

Highlights

●This study collected three years of physical examination data from older adults in the Tangqiao community of Shanghai, which is more regionally representative.

●The most suitable model for this study was selected from six machine learning models to construct a fatty liver risk prediction model for the elderly.

●This study combines six feature selection algorithms with varying performance to screen the features most rele vant to fatty liver.

Yifei Bai, Rongguo Yan, Yuqing Yang, Chengang Mao

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to: Rongguo Yan, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn.

DOI: https://doi.org/10.61189/846307fkxccq

Received April 12, 2024; Accepted July 11, 2024; Published September 30, 2024

Highlights

●The study evaluated five machine learning algorithms in analyzing urinary non-formed components. Among them, the Random Forests model demonstrated the highest accuracy, precision, recall, and F1 score, suggesting its effectiveness in analyzing urinary non-formed components.

●A technological innovation is introduced for home urinalysis, offering the potential to enhance medical efficiency and patient experience.

Yichun Shen¹, Shuyi Wang¹, Yuhan Shen¹, Hua Xing²

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. ²Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200080, China.

Address correspondence to: Shuyi Wang, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.516, Jungong Road, Shanghai 200093, China. E-mail: wangshuyi@usst.edu.cn.

DOI: https://doi.org/10.61189/721472czacxf

Received April 12, 2024; Accepted July 11, 2024; Published September 30, 2024

Highlights

● Machine learning can enhance the individualization of treatment in Chinese massage.

● An intelligent system improves the efficiency of Traditional Chinese Medicine massage therapy.

● The integration of Traditional Chinese Medicine Massage Therapy with machine learning represents a new trend in future healthcare.

Weiwei Fan, Lin Mao, Bojun Liu, Chengli Song

Shanghai Institute for Minimally Invasive Therapy, School of Health Science and Engineering, University of Shanghai for Science and Technology, 200093, China.

Address correspondence to: Lin Mao, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Yangpu District, Shanghai 200093, China. Tel: +86-21-55572159. E-mail: linmao@usst.edu.cn.

DOI: https://doi.org/10.61189/883654uegazz

Received March 21, 2024; Accepted June 5, 2024; Published September 30, 2024

Highlights

● A V-shaped vascular clamp featuring a locking mechanism and transverse teeth has been developed.

● Comparative analysis of clamps with various inner diameters reveals optimal closure with specific configurations.

● The designed clamp presents superior stress-strain response, robust clamping force, and consistent corrosion resistance.

Mengying Zhan, Jiahao Zhang, Yuqiu Zhou, Qijun Xie, Fangfang Luo, Yu Zhou 

School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai  200093, China. 

Address correspondence to: Yu Zhou, School of Health Sciences and Engineering, University of  Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. Tel: +86- 18021042556. E-mail: zhouyu@usst.edu.cn.

DOI: https://doi.org/10.61189/650204jodubt 

Received January 29, 2024; Accepted March 25, 2024; Published September 30, 2024

Highlights

● The effect of electrode-tissue contact force on the efficacy and safety of ablation of atrial fibrillation was reviewed  in detail.

● The existing contact force sensing catheters on the market are compared and introduced.

● Three impedance-related methods for assessing catheter adherence are introduced.

Dandan Gu, Ruiyan Qian, Danni Rui, Difang Liu, Haitao Yao, Yifan Yang, Yu Zhou

School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai  200093, China.

Address correspondence to: Yu Zhou, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. Tel: 18021042556. E-mail: zhouyu@usst. edu.cn.

DOI: https://doi.org/10.61189/585036wxisob

Received December 4, 2023; Accepted January 8, 2024; Published June 30, 2024

Highlights:

● Cooled radiofrequency ablation (CRFA) represents an advancement in RF ablation, enhancing treatment safety and efficacy through electrode cooling. 

● CRFA principles, electrode cooling methods, efficacy evaluation, and an overview of major CRFA devices available on the market are comprehensively analyzed. 

● The clinical advancements in applying CRFA technology indicate its feasibility and safety as a viable treatment modality.

Zine Ghemari

Electrical Engineering Department, Mohamed Boudiaf University of M’sila, 28000, Algeria

Address correspondence to: Zine Ghemari, Electrical Engineering Department, Mohamed Boudiaf University of M’sila, P.O. Box 166, Ichbilya - M’Sila 28000, Algeria. E-mail: ghemari-zine@live.fr.

Acknowledgement: None.

DOI: https://doi.org/10.61189/871852usmbep

Received February 11, 2024; Accepted May 6, 2024; Published June 30, 2024

Highlights

● The article provides an overview of vibration sensors and their use in medical applications.

● Vibration sensors are used to monitor human movement, such as gait analysis and they can provide valuable data for assessing mobility, balance, and detecting abnormalities in movement patterns.

● The article explores how vibration sensors are integrated into wearable health devices, and these devices can monitor vital signs such as heart rate, respiratory rate, and sleep quality, providing continuous health monitoring

Binyu Wang, Tiantian Hu, Jiuzhou Zhao, Jincheng Xu, Banghong Chen, Yicheng Liu, Yu ZhouSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to: Yu Zhou, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Changbai New Village Street, Yangpu District, Shanghai 200093, China. Tel: 18021042556. E-mail: zhouyu@usst.edu.cn.

Acknowledgement: None.

DOI: https://doi.org/10.61189/758818obsmms

Received January 17 2024; Accepted February 7, 2024; Published June 30, 2024

Highlights

● Pulsed field ablation (PFA) demonstrates superior efficacy atrial fibrillation than traditional methods.

● Enhanced safety profile of PFA reduces complications in adjacent tissue damage.

● Optimized outcomes depends on key PFA parameters such as voltage, pulse width, and frequency.

Tingting Shi, Rongguo Yan, Xinrui Gui, Ruoyu Song

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093,  China.

Address correspondence to: Rongguo Yan, Department of Biomedical Engineering, School of Health Science  and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu, Shanghai  200093, China. E-mail: yanrongguo@usst.edu.cn.

DOI: https://doi.org/10.61189/579429fwpcmo

Received December 29, 2023; Accepted April 10, 2024; Published June 30, 2024

Highlights

● This review introduces the basic principles and features of photoacoustic imaging technology.

● This review illustrates the application of photoacoustic imaging in the study of brain diseases.

Wentao Quan¹ , Youguo Hao² , Xudong Guo¹ , Peng Wang¹ , Yukai Zhong³ 

¹ School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093,  China. ² Putuo District People’s Hospital, Shanghai 200060, China. ³ Yangpu District Kongjiang Hospital, Shanghai  200082, China.

Address correspondence to: Youguo Hao, Putuo District People’s Hospital, No.1291 Jiangning Road, Putuo,  Shanghai 200060, China. Email: youguohao6@163.com.

Acknowledgement: This work was supported by the Science and Technology Innovation Plan of Shanghai Science  and Technology Commission (22S31902200).

DOI: https://doi.org/10.61189/016816myowlr

Received December 17, 2023; Accepted January 15, 2024; Published June 30, 2024

Highlights

● The detailed steps of spike sorting algorithm and the different algorithms used in each step are summarized. 

● The advantages and disadvantages of each step of spike sorting algorithm are compared. 

● The detailed application of deep learning technology in spike sorting is introduced.

Jiaqi Jiang¹, Haipo Cui¹, Fang Geng², Xudong Guo¹

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. ²Medtronic China Research and Development Center, Shanghai 200100, China

Address correspondence to: Haipo Cui, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.516, Jungong Road, Shanghai 200093, China. Tel: +86-21-55271290. E-mail: h_b_cui@163.com.

Received March 13, 2023; Accepted August 29, 2023; Published September 30, 2023

DOI: https://doi.org/10.61189/264742zadfwq

Hightlights

● Material and mechanical structures of absorbable vascular clips affect its hemostatic efficiency.

● The tooth shape, tail end, and closure of vascular clips are the main direction of mechanical structure improvement.

● The coating of the vascular clips can regulate the degradation rate and improve hemostatic efficiency.

● Reasonable mechanical properties and degradation rate are the main development direction for absorbable vas cular clips.

Qianfeng Xu, Rongguo Yan, Weifeng Wu, Yongqian Zhang

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to: Rongguo Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.334, Jungong Road, Shanghai 200093, China. Email: yanrongguo@usst.edu.cn.

Received April 3, 2023; Accepted August 25, 2023; Published September 30, 2023

DOI: https://doi.org/10.61189/494562hpikfi

Highlights

This review presents four urinalysis methods, the naked-eye method, the integrating sphere method, the color sensor method and the image sensor method, based on color recognition technology, and discusses the techniques of each method. 

Yi Chen^1,*, Shiju Yan^1,*, Yunhua Xu¹, Linping Gu²

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. ²Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.

*The authors contribute equally. 

Address correspondence to: Shiju Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. Tel: 18956153985, E-mail: yanshiju@usst.edu.cn.

Received April 25, 2023; Accepted August 28, 2023; Published September 30, 2023

DOI: https://doi.org/10.61189/145362zgyopx

Highlights

● The mainstream defogging algorithms can be classified into three categories based on their principles: image enhancement-based, physical model-based, and neural network-based. 

● This paper aims to introduce and explore these categories, as well as to provide an outlook on the application and possible future development directions of defogging algorithms.

Qi Zhang, Haipo Cui, Yan Zhang, Hexuan Jiang

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to: Haipo Cui, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.516, Jungong Road, Shanghai 200093, China. Tel: +86-21-55271290. E-mail: h_b_cui@163.com.

Received February 5, 2023; Accepted September 11, 2023; Published September 30, 2023

DOI: https://doi.org/10.61189/031576vfjfax

Highlights

● Plastic stents are more suitable for diseases such as benign bile duct stenosis.

● Metal-uncoated biliary stents are available for patients with malignant biliary obstruction.

● Degradability of biliary stents is a major research direction at present.

Yongqian Zhang, Weifeng  Wu, Qianfeng Xu, Yunsheng Zhong, Rongguo Yan

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to: Rongguo Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn. 

Received December 26, 2022; Accepted April 6, 2023; Published June 30, 2023

DOI: https://doi.org/10.61189/373860nqgwfq

Highlights

The paper introduces three commonly used blood cell counting techniques, electrical impedance method, light scattering method and microscopic imaging method based on microfluidic chips, as well as their latest research progress.

Zine Ghemari 

Electrical Engineering Department, Mohamed Boudiaf University of M’sila, 28000, Algeria 

Address correspondence to: Zine Ghemari, Electrical Engineering Department, Mohamed Boudiaf University of M’sila, P.O. Box 166, Ichbilya, M’Sila 28000, Algeria. E-mail: ghemari-zine@live.fr.

DOI: https://doi.org/10.61189/871955jstyqr

Received December 20, 2023; Accepted February 27, 2024; Published March 31, 2024

Highlights 

● The study explores how forced-damped vibrations can be applied in various medical contexts. This may include using vibrations for medical imaging techniques such as ultrasound or MRI, where vibrations are applied to the body to generate images of internal structures. 

● Vibrations can also be utilized for tissue characterization, diagnosis of medical conditions, and therapeutic interventions such as vibration therapy for rehabilitation or pain management.

Tingting Zhou¹, Haozhe Zhuang¹, Shiju Yan¹, Erze Xie¹, Yibo Ma², Tao Zhang¹, Tianxiang Yu¹, Shuang Deng¹ 

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2Department of Ultrasound, the Third Affiliated Hospital of Soochow University, Changzhou 213000, Jiangsu, China.

Address correspondence to: Shiju Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai 200093, China. Email: yanshiju@usst.edu.cn; Yibo Ma, Department of Ultrasound, the Third Affiliated Hospital of Soochow University, No.185 Juqian Street, Changzhou 213000, Jiangsu, China. Email: mayibo@czfph.com.

DOI: https://doi.org/10.61189/594641kmfbkw

Highlights

● Automated pleural line identification: A method was introduced to automatically identify pleural lines in lung ultrasound images, ensuring diagnosis speed and accuracy.

● High reliability: An average of 90.45% identification rate of pleural lines was achieved in a comprehensive experiment on 890 ultrasound videos, highlighting its broad applicability and reliability.

● Efficient integration: The algorithm's rapid processing (1.36 seconds for a 5-second video) makes it suitable for seamless integration into ultrasound instrument software, aiding clinicians in diagnosing conditions like pneumo-thorax more efficiently.

Weifeng Wu, Yongqian Zhang, Qianfeng Xu, Jiuzhou Zhao, Rongguo Yan

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Address correspondence to: Rongguo Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.516, Jungong Road, Shanghai 200093, China. Email: yanrongguo@usst.edu.cn.

Received February 7, 2023; Accepted August 25, 2023; Published September 30, 2023

DOI: https://doi.org/10.61189/473511cbaive

Highlights

● Denoising, segmentation, and feature extraction of heart sounds as well as its classification process are reviewed.

● A detailed exposition of diverse deep learning methods for heart sounds classification is presented.

Haipo Cui

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Published June 30, 2023

DOI: https://doi.org/10.61189/530844gerhbl

Xue Cai, Lin Mao, Junjie Shen, Yujie Zhou, Chengli Song 

Shanghai Institute for Minimally Invasive Therapy, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 20093, China 

Address correspondence to: Lin Mao, Shanghai Institute for Minimally Invasive Therapy, School of Health Science and Engineering, NO.516, Jungong Road, Shanghai 200093, China. Email: linmao@usst.edu.cn.

DOI: https://doi.org/10.61189/390527zficik

Received February 15, 2024; Accepted February 28, 2024; Published March 31, 2024

Highlights 

● Biodegradable staples have the high biodegradability, good mechanical, and biocompatibility properties. 

● The mechanical properties of biodegradable staples can be adjusted by structure optimizations. 

● Biodegradable will be widely used in gastrointestinal anastomosis.