Research and Application of Multi-Link Aggregation Algorithm Based on Link Priority for Telemedicine in Complex Environments [0.03%]
复杂环境下基于链路优先级的远程医疗多链路聚合算法的研究与应用
Ruiqing Wang,Desen Cao,Jianpeng Ran et al.
Ruiqing Wang et al.
Background and objective: Telemedicine has been introduced as a new and effective method in dealing with public health challenges, improving access to health care, and reducing healthcare costs in today's world. In order ...
A Comparative Study of MR-Guided Needle Insertion for Surgical Procedures: Insights From HoloLens 2, Magic Leap 2 and Apple Vision Pro [0.03%]
基于HoloLens 2、Magic Leap 2和Apple Vision Pro的外科手术MR针头插入引导效果比较研究
Amaia Iribar-Zabala,Joseba Ruiz-Olalla-Del-Fresno,Inés Rubio-Pérez et al.
Amaia Iribar-Zabala et al.
Numerous minimally invasive procedures, including biopsies, ablations and neurostimulation, rely on the accurate placement of a needle under image guidance. Mixed reality (MR) head-mounted displays (HMDs) offer a promising solution to enhan...
From Free-Standing to Textile Electrodes: Carbonaceous Biocompatible Material for Wearable Sensing [0.03%]
从独立电极到纺织电极：用于可穿戴传感的碳质生物相容性材料
Marta Vegas-García,Anandapadmanabhan Ambily Rajendran,Beatriz L Garrote et al.
Marta Vegas-García et al.
Wearable electronics have been on the rise for personal monitoring in healthcare and sports, allowing real-time tracking. However, developing flexible, conductive, biocompatible, and suitable for continuous, long-term use (bio)electrodes re...
Informing the Development of Reminiscence Technology for Older Adults: A Prospective Study of Acceptance Determinants [0.03%]
基于接受决定因素的回忆技术的开发：前瞻性研究
Gilian Zitrin,Emmanuel Monfort
Gilian Zitrin
Digital health technologies offer promising avenues for supporting the psychological health of the ageing population. Reminiscence therapy, a non-pharmacological intervention, holds significant potential when delivered via digital platforms...
OpthaNet: Attention-Integrated Architecture for High-Precision Multi-Class Ophthalmic Image Classification [0.03%]
基于注意力集成的高精度眼科图像分类网络
Souhardo Rahman,Md Nasif Safwan,Mahamodul Hasan Mahadi et al.
Souhardo Rahman et al.
This study investigated the efficacy of pre-trained deep learning models for multi-class classification of eye diseases, namely cataract, diabetic retinopathy, and glaucoma, using fundus images. Although CNN and transformer-based models hav...
Empowering People With Haemophilia: A Mobile Solution for Self-Management [0.03%]
赋能血友病患者——移动自我管理解决方案
Arezou Azizi Alavijeh,Khadijeh Moulaei,Mohammad Mehdi Ghaemi et al.
Arezou Azizi Alavijeh et al.
Background and aims: Haemophilia is a congenital bleeding disorder requiring extensive self-management. Mobile applications can support these processes. This study aimed to design and evaluate a mobile application to faci...
E-Variance: An Application to Assure Clinical Data Integrity and Improve Patient Safety and Workflows in Electronic Medical Records [0.03%]
电子病历中的E-方差：保障临床数据完整性和改善患者安全及工作流程的方法
Shafiq Rahman,Konstantin Milman,Taek-Soo Lee
Shafiq Rahman
Objective: Ensuring critical data integrity practices are often missing from the confidence of decision-making in the recorded clinical data. Thus, we developed an application to report clinical data errors to provide eff...
Rachana Katuwal Kc,Su Yang
Rachana Katuwal Kc
Diabetes has become a critical global health concern, particularly in regions where access to diagnostic facilities is limited. In this work, we propose a hybrid framework that combines extreme gradient boosting (XGBoost) and deep neural ne...
An Add-On Contactless Measurement System for Monitoring Driving Behaviours in Motorised Mobility Scooters [0.03%]
一种用于监测电动代步车驾驶行为的非接触式附加测量系统
Yi Liu,Takenobu Inoue,Jun Suzurikawa
Yi Liu
The increasing use of motorised mobility scooters (MMSs) has raised significant safety concerns, particularly related to user behaviour during operation. Although various advanced driving assistance systems have been incorporated into MMSs ...
Toward Efficient Identification of Retinal Diseases: A Lightweight Convolutional Neural Network-Based Approach Using Optical Coherence Tomography [0.03%]
基于光学相干断层扫描的轻量级卷积神经网络 retina 疾病识别方法研究
Utsab Saha,Puja Saha,Md Jahin Alam et al.
Utsab Saha et al.
Retinal diseases are a major cause of both temporary and permanent vision loss, making early detection and treatment essential to prevent irreversible damage, as the retina's ability to transmit light signals to the brain can be compromised...