Ruoyu Song¹, Tao Xu², Tingting Shi¹, Xinrui Gui¹, Rongguo Yan¹

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China; ²Department of Neurosurgery, Changzheng Hospital, Naval Medical University, Shanghai 200003, P. R. 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, P. R. China. Tel: 13370260817. E-mail: yanrongguo@usst.edu.cn.

Received January 5, 2022; Accepted May 7, 2023; Published June 30, 2023

DOI: https://doi.org/10.61189/729316upqdwc

Highlights

● An induced current occurs in a conductor as a result of electromagnetic induction. 

● The use of a magnetic field to generate induced current is known as electromagnetic induction, which can be used to detect craniocerebral injury. 

● Induced current electrical impedance tomography, magneto-acoustic tomography, and eddy current damping sensors for imaging and detection are reviewed in the paper.

Review Article |Published on: 30 June 2023

[Progress in Medical Devices] 2023; 1 (1): 19-26.

Yan Zhang, Xudong Guo, Rui Yang, Jun Wang, Haipo Cui 

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

Address correspondence to: Haipo Cui, School of Heath Science and Engineering, Yangpu District, Shanghai 200093, China. Tel: +86-21-55271290. E-mail: h_b_cui@163.com.

 Acknowledgments: This work was supported by the Shanghai Municipal Science and Technology Major Project (No. 2021SHZDZX), Shanghai Industrial Collaborative Innovation Project (No. 2021-cyxt1-kj07), Shanghai Science and Technology Innovation Action Plan (No. 22S31902200), and Cooperation Fund of the Eighth Research Institute of China Aerospace Science and Technology Corporation (No. SAST2022-094), PR China. 

Received February 18, 2023; Accepted April 13, 2023; Published June 30, 2023

DOI: https://doi.org/10.61189/550253gnnvtv

Highlights 

● Distance and position of Kirschner wires influence the stability of tension band wiring. 

● Kirschner wire guiding device can improve the accuracy of Kirschner wire placement. 

● Designing an optimal guide device is the primary development direction to improve the accuracy of Kirschner wire placement.

Review Article |Published on: 30 June 2023

[Progress in Medical Devices] 2023; 1 (1): 27-32.

Jie Yu, Shiju Yan, Chengli Song, Haipo Cui

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

Address correspondence to: Shiju Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516, Jungong Road, Yangpu District, Shanghai 200093, China. Tel: 18217617984. E-mail: yanshiju@usst.edu.cn. 

Received March 11, 2023; Accepted November 17, 2023; Published December 31, 2023

DOI: https://doi.org/10.61189/323428onxlas

Highlights

● Current research on COVID-19 utilizing medical images is categorized into image preprocessing, segmentation, and classification.

● This study provides an in-depth analysis of these categories, as well as provides an outlook on the application and possible future development directions of medical image processing in COVID-19 management.

● Our paper also presents a review of various publicly accessible datasets of COVID-19.

Review Article |Published on: 31 December 2023

[Progress in Medical Devices] 2023; 1 (3): 131-144.

Tiantian Hu, Yingfan Yuan, Mengying Zhan, Binyu Wang, Lin Mao, Yu Zhou

School 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, Shanghai 200093, China. Tel: 18021042556, E-mail: zhouyu@usst.edu.cn.

Acknowledgements: This work was financially supported by National Natural Science Foundation of China (51901137).

DOI: https://doi.org/10.61189/061485jysfwu

Received August 22, 2023; Accepted November 28, 2023; Published December 31, 2023

Highlights

● A strong positive correlation was identified in the investigation of the relationship between contact force and irreversible electroporation (IRE) efficacy for tissue ablation. 

● This research conducted on potato models highlights the importance of optimizing electrode contact force in IRE for applications in atrial fibrillation treatment.

● Our findings provide insights into the design of advanced IRE ablation protocols and facilitate the clinical development and translation of this technology for effective atrial fibrillation treatment.

Research Article |Published on: 31 December 2023

[Progress in Medical Devices] 2023; 1 (3): 163-174.

Xinrui Gui, Tingting Shi, Ruoyu Song, Rongguo Yan

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 District, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn.

DOI: https://doi.org/10.61189/578860ievbid

Received October 19, 2023; Accepted November 28, 2023; Published December 31, 2023

Highlights

● Near-infrared spectroscopy (NIRS) technology transmits a beam of near-infrared light through a transmitter to the brain. 

● The changes in hemoglobin concentration and cerebral blood oxygen levels can be estimated using near-infrared light, by comparing the changes in light attenuation over time.

● This paper introduces the basic concept of measuring blood oxygen levels in brain tissue using NIRS technology, and presents the potential applications of the most recent developments in this field of study.

Review Article |Published on: 31 December 2023

[Progress in Medical Devices] 2023; 1 (3): 175-182.

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.

Review Article |Published on: 30 September 2024

[Progress in Medical Devices] 2024; 2 (3): 89-96

Yibin Zhang¹, Yan Wang¹, Hongliu Yu²¹School of Medical Devices, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China. ²School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to: Hongliu Yu, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai city Jungong road 516, Shanghai 200093, China. E-mail: yhl98@hotmail.com.

DOI：https://doi.org/10.61189/961030gznunx

Received June 21, 2024; Accepted November 20, 2024; Published December 31, 2024

Highlights

● In prosthetics, using AI algorithms to identify the fused sensor data as known walking patterns has extremely strong expandability. Moreover, as the learning data continues to expand, the robustness of the model itself also increases accordingly.● There are numerous AI algorithms currently available. The effective utilization of algorithm combination techniques to learn from each other’s strengths can significantly improve the accuracy of identification. The combined model of convolutional neural networks (CNN) and bidirectional long short term memory (LSTM) attempted in this paper has witnessed a significant improvement in its comprehensive recognition rate.● In the practical application of prosthetics, the real-time performance during the mode switching transition period is particularly important as it can reflect the flexibility of the prosthetics. In this paper, the algorithm optimized by the AI model has controlled the delay rate within one gait cycle, greatly enhancing the safety and reliability of pro-sthetics in actual use.

Research Article |Published on: 31 December 2024

[Progress in Medical Devices] 2024; 2 (4): 144-152

Mingxia Wei, Qingyun Meng

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

Address correspondence to: Qingyun Meng, School of Health Science and Engineering, University of Shanghai for Science and Technology, Yangpu District, Shanghai 200093, China. Tel: +86-13761813609. E-mail: mengqy@sumhs.edu.cn.

DOI: https://doi.org/10.61189/521889ygxkmc

Received May 15, 2024; Accepted June 25, 2024; Published December 31, 2024

Highlights

● A comprehensive overview of Visual-Inertial Navigation Systems.● Exploration of key technologies, including image processing methods for visual odometry.

Review Article |Published on: 31 December 2024

[Progress in Medical Devices] 2024; 2 (4): 153-160

Haonan Geng¹, Xudong Guo¹, Haibo Lin¹, Youguo Hao², Guojie Zhang³

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. ²Shanghai Putuo District People’s Hospital, Shanghai 200060, China. ³LingYuan Iron and Steel CO., LTD, Lingyuan 122500, Liaoning Province, China.

Address correspondence to: Xudong Guo, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Yangpu District, Shanghai 200093, China. Email: guoxd@usst.edu.cn; Youguo Hao, Shanghai Putuo District Central Hospital, No.1291 Jiangning Road, Putuo District, Shanghai, 200060, China. Email: youguohao6@163.com.

DOI: https://doi.org/10.61189/673672yizrwd

Received September 8, 2024; Accepted November 6, 2024; Published December 31,2024

Highlights

●Gait prediction relies on multimodal sensor data, and the acquisition of multimodal information, such as physical sensors and bioelectrical signal sensors, is introduced in order to monitor and analyze the lower limb movement in real time, and provide a data basis for prediction.● The application of machine learning algorithms in gait prediction technology, such as Support Vector Machine, Random Forest, and Back Propagation Neural Network, is reviewed to construct an optimized gait prediction model, which provides effective support for the intelligent control of exoskeleton.● Compared with machine learning algorithms, the article summarizes the researchers’ efforts to extract and un derstand the hidden patterns in gait data by constructing neural network models related to different deep learning algorithms, which are used to improve the accuracy and robustness of gait prediction.

Review Article |Published on: 31 December 2024

[Progress in Medical Devices] 2024; 2 (4): 161-173

Fei Liu¹, Haipo Cui¹, Fujia Sun², Shuhao Hou³, Peng Yue⁴ 

Schools of ¹Health Science and Engineering, ²Mechanical Engineering, ³Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China. ⁴Shanghai Guoyan Medical Device Testing Cen ter Co., Ltd., Shanghai 200000, China. 

Address correspondence to: Haipo Cui, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.334, Jungong Road, Shanghai 200093, China. Tel: +86 21-55271290, E-mail: hpcui@usst.edu.cn; Fujia Sun, School of Mechanical Engineering, University of Shanghai for Science and Technology, NO.516, Jungong Road, Shanghai 200093, China. Tel: +86 13621773624, E-mail: chinasfj@126.com.

DOI: https://doi.org/10.61189/273582nrnxmc

Received August 12, 2024; Accepted September 11, 2024; Published March 31, 2025

Highlights 

 ● Algorithms such as adaptive beamforming and synthetic aperture technology have significantly improved the quality of ultrasound images. 

 ● New algorithms, such as deep learning, can adapt to more complex signal environments at the expense of real-time performance. 

 ● Combining different algorithms can overcome the limitations of a single algorithm, thereby improving image resolution, contrast, and noise resistance.

Review Article |Published on: 31 March 2025

[Progress in Medical Devices] 2025; 3 (1): 26-42