中国医疗器械杂志最新文献_第3页

[Key Points of Design and Risk Analysis in Production for Biodegradable Heart Occluder]. [生物可降解心脏封堵器的设计要点和生产风险分析]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.230720

Xiaofei Ma, Minliang Zhou, Xin Liu

引用次数: 0

[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification]. [基于深度学习的颈动脉斑块自动识别人工智能模型]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.240009

Lan He, E Shen, Zekun Yang, Ying Zhang, Yudong Wang, Weidao Chen, Yitong Wang, Yongming He

{"title":"[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification].","authors":"Lan He, E Shen, Zekun Yang, Ying Zhang, Yudong Wang, Weidao Chen, Yitong Wang, Yongming He","doi":"10.12455/j.issn.1671-7104.240009","DOIUrl":"https://doi.org/10.12455/j.issn.1671-7104.240009","url":null,"abstract":"This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images, composed of 1761 ultrasound images from 1165 participants. A deep learning architecture that combines bilinear convolutional neural networks with residual neural networks, known as the single-input BCNN-ResNet model, was utilized to aid clinical doctors in diagnosing plaques using carotid ultrasound images. Following training, internal validation, and external validation, the model yielded an ROC AUC of 0.99 (95% confidence interval: 0.91 to 0.84) in internal validation and 0.95 (95% confidence interval: 0.96 to 0.94) in external validation, surpassing the ResNet-34 network model, which achieved an AUC of 0.98 (95% confidence interval: 0.99 to 0.95) in internal validation and 0.94 (95% confidence interval: 0.95 to 0.92) in external validation. Consequently, the single-input BCNN-ResNet network model has shown remarkable diagnostic capabilities and offers an innovative solution for the automatic detection of carotid artery plaques.","PeriodicalId":52535,"journal":{"name":"Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142001313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Application of Photoplethysmography Combined with Deep Learning in Postoperative Monitoring of Flaps]. [结合深度学习的血压计在皮瓣术后监测中的应用]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.230624

Jing Yang, Xinlei Yang, Yuwei Gao, Chunlei Zhang, Di Wang, Tao Song

{"title":"[Application of Photoplethysmography Combined with Deep Learning in Postoperative Monitoring of Flaps].","authors":"Jing Yang, Xinlei Yang, Yuwei Gao, Chunlei Zhang, Di Wang, Tao Song","doi":"10.12455/j.issn.1671-7104.230624","DOIUrl":"https://doi.org/10.12455/j.issn.1671-7104.230624","url":null,"abstract":"Objective: Photoelectric volumetric tracing (PPG) exhibits high sensitivity and specificity in flap monitoring. Deep learning (DL) is capable of automatically and robustly extracting features from raw data. In this study, we propose combining PPG with 1D convolutional neural networks (1D-CNN) to preliminarily explore the method's ability to distinguish the degree of embolism and to localize the embolic site in skin flap arteries.Methods: Data were collected under normal conditions and various embolic scenarios by creating vascular emboli in a dermatome artery model and a rabbit dermatome model. These datasets were then trained, validated, and tested using 1D-CNN.Results: As the degree of arterial embolization increased, the PPG amplitude upstream of the embolization site progressively increased, while the downstream amplitude progressively decreased, and the gap between the upstream and downstream amplitudes at the embolization site progressively widened. 1D-CNN was evaluated in the skin flap arterial model and rabbit skin flap model, achieving average accuracies of 98.36% and 95.90%, respectively.Conclusion: The combined monitoring approach of DL and PPG can effectively identify the degree of embolism and locate the embolic site within the skin flap artery.","PeriodicalId":52535,"journal":{"name":"Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142001311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Development of an Intelligent Multi-Parameter Sleep Diagnosis and Analysis System]. [开发智能多参数睡眠诊断和分析系统]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.240036

Chenyang Li, Jilun Ye, Jian Guan

{"title":"[Development of an Intelligent Multi-Parameter Sleep Diagnosis and Analysis System].","authors":"Chenyang Li, Jilun Ye, Jian Guan","doi":"10.12455/j.issn.1671-7104.240036","DOIUrl":"https://doi.org/10.12455/j.issn.1671-7104.240036","url":null,"abstract":"Sleep disordered breathing (SDB) is a common sleep disorder with an increasing prevalence. The current gold standard for diagnosing SDB is polysomnography (PSG), but existing PSG techniques have some limitations, such as long manual interpretation times, a lack of data quality control, and insufficient monitoring of gas metabolism and hemodynamics. Therefore, there is an urgent need in China's sleep clinical applications to develop a new intelligent PSG system with data quality control, gas metabolism assessment, and hemodynamic monitoring capabilities. The new system, in terms of hardware, detects traditional parameters like nasal airflow, blood oxygen levels, electrocardiography (ECG), electroencephalography (EEG), electromyography (EMG), electrooculogram (EOG), and includes additional modules for gas metabolism assessment via end-tidal CO 2 and O 2 concentration, and hemodynamic function assessment through impedance cardiography. On the software side, deep learning methods are being employed to develop intelligent data quality control and diagnostic techniques. The goal is to provide detailed sleep quality assessments that effectively assist doctors in evaluating the sleep quality of SDB patients.","PeriodicalId":52535,"journal":{"name":"Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142001314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[LSTM-XGBoost Based RR Intervals Time Series Prediction Method in Hypertensive Patients]. [基于 LSTM-XGBoost 的高血压患者 RR 间期时间序列预测方法]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.230728

Wenjie Yu, Hongwen Chen, Hongliang Qi, Zhilin Pan, Hanwei Li, Debin Hu

引用次数: 0

[Research Progress of Artificial Intelligence in Prostate Cancer Diagnosis Application]. [人工智能在前列腺癌诊断应用中的研究进展]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.230557

Shucai Hong, Heyuan Zhang

引用次数: 0

[Monitoring System of Medical Device Adverse Events in the US and Application of MAUDE Database in Medical Device Registration]. [美国医疗器械不良事件监测系统及 MAUDE 数据库在医疗器械注册中的应用]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.230593

Jing Wu, Le Jin

引用次数: 0

[Practical Application of Intelligent Vision Measurement System Based on Deep Learning]. [基于深度学习的智能视觉测量系统的实际应用]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.230652

Ruilin Hu, Dan Sun, Guilian Shi, Anpeng Pan

引用次数: 0

[Thoughts on Evaluation of Culture Medium for Human Assisted Reproduction Technology]. [关于人类辅助生殖技术培养基评估的思考]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.240067

Yun Xu

引用次数: 0

[FreeArcs Knife: a Novel Stereotactic Radiosurgery System]. [FreeArcs Knife：新型立体定向放射外科系统]。

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Pub Date : 2024-07-30 DOI: 10.12455/j.issn.1671-7104.230584

Zhiquan Tang, Shaojin Huang, Renming Zhong

引用次数: 0