Comprehensive and personalized approach is a critical area for developing remote cardiac rehabilitation programs

In the evolving landscape of cardiac rehabilitation(CR),adopting digital technologies,including synchronous/real-time digital interventions and smart applications,has emerged as a transformative approach.These technologies offer realtime health data access,continuous vital sign monitoring,and personalized educational enhanced patient self-management and engagement.Despite their potential benefits,challenges and limitations exist,necessitating careful consideration.Synchronous/real-time digital CR involves remote,two-way audiovisual communication,addressing issues of accessibility and promoting home-based interventions.Smart applications extend beyond traditional healthcare,providing real-time health data and fostering patient empowerment.Wearable devices and mobile apps enable continuous monitoring,tracking of rehabilitation outcomes,and facilitate lifestyle modifications crucial for cardiac health maintenance.As digital CR progresses,ensuring patient access,equitable implementation,and addressing the digital divide becomes paramount.Artificial intelligence holds promise in the early detection of cardiac events and tailoring patient-specific CR programs.However,challenges such as digital literacy,data privacy,and security must be addressed to ensure inclusive implementation.Moreover,the shift toward digital CR raises concerns about cost,safety,and potential depersonalization of therapeutic relationships.A transformative shift towards technologically enabled CR necessitates further research,focusing not only on technological advancements but also on customization to meet diverse patient needs.Overcoming challenges related to cost,safety,data security,and potential depersonalization is crucial for the widespread adoption of digital CR.Future studies should explore integrating moral values into digital therapeutic relationships and ensure that digital CR is accessible,equitable,and seamlessly integrated into routine cardiac care.Theoretical frameworks that accommodate the dynamic quality of real-time monitoring and feedback feature of digital CR interventions should be considered to guide intervention development.

An Intelligent Detection Method for Optical Remote Sensing Images Based on Improved YOLOv7

To address the issue of imbalanced detection performance and detection speed in current mainstream object detection algorithms for optical remote sensing images,this paper proposes a multi-scale object detection model for remote sensing images on complex backgrounds,called DI-YOLO,based on You Only Look Once v7-tiny(YOLOv7-tiny).Firstly,to enhance the model’s ability to capture irregular-shaped objects and deformation features,as well as to extract high-level semantic information,deformable convolutions are used to replace standard convolutions in the original model.Secondly,a Content Coordination Attention Feature Pyramid Network(CCA-FPN)structure is designed to replace the Neck part of the original model,which can further perceive relationships between different pixels,reduce feature loss in remote sensing images,and improve the overall model’s ability to detect multi-scale objects.Thirdly,an Implicitly Efficient Decoupled Head(IEDH)is proposed to increase the model’s flexibility,making it more adaptable to complex detection tasks in various scenarios.Finally,the Smoothed Intersection over Union(SIoU)loss function replaces the Complete Intersection over Union(CIoU)loss function in the original model,resulting in more accurate prediction of bounding boxes and continuous model optimization.Experimental results on the High-Resolution Remote Sensing Detection(HRRSD)dataset demonstrate that the proposed DI-YOLO model outperforms mainstream target detection algorithms in terms of mean Average Precision(mAP)for optical remote sensing image detection.Furthermore,it achieves Frames Per Second(FPS)of 138.9,meeting fast and accurate detection requirements.

A New Generation of Intelligent Mapping and Remote Sensing Scientific Test Satellite Luojia-301

With the continuous improvement of the performance and the increasing variety of optical mapping and remote sensing satellites,they have become an important support for obtaining global accurate surveying and mapping remote sensing information.At present,optical mapping and remote sensing satellites already have sub-meter spatial resolution capabilities,but there is a serious lag problem in mapping and remote sensing information services.It is urgent to develop intelligent mapping and remote sensing satellites to promote the transformation and upgrading to real-time intelligent services.Firstly,based on the three imaging systems of the optical mapping and remote sensing satellites and their realization methods and application characteristics,this paper analyzes the applicable system of the intelligent mapping and remote sensing satellites.Further,according to the application requirements of real-time,intelligence,and popularization,puts forward the design concept of integrated intelligent remote sensing satellite integrating communication,navigation,and remote sensing and focuses on the service mode and integrated function composition of intelligent remote sensing satellite.Then expounds on the performance and characteristics of the Luojia-301 satellite,a new generation of intelligent surveying and mapping remote sensing scientific test satellite.And finally summarizes and prospects the development and mission of intelligent mapping remote sensing satellites.Luojia-301 satellite integrates remote sensing and communication functions.It explores an efficient and intelligent service mode of mapping and remote sensing information from data acquisition to the application terminal and provides a real service verification platform for on-orbit processing and real-time transmission of remote sensing data based on space-ground internet,which is of great significance to the construction of China’s spatial information network.

A wearable real-time telemonitoring electrocardiogram device compared with traditional Holter monitoring

Arrhythmias are very common in the healthy populations as well as patients with cardiovascular diseases.Among them,atrial fibrillation(AF)and malignant ventricular arrhythmias are usually associated with some clinical events.Early diagnosis of arrhythmias,particularly AF and ventricular arrhythmias,is very important for the treatment and prognosis of patients.Holter is a gold standard commonly recommended for noninvasive detection of paroxysmal arrhythmia.However,it has some shortcomings such as fixed detection timings,delayed report and inability of remote real-time detection.To deal with such problems,we designed and applied a new wearable 72-hour triple-lead H3-electrocardiogram(ECG)device with a remote cloud-based ECG platform and an expertsupporting system.In this study,31 patients were recruited and 24-hour synchronous ECG data by H3-ECG and Holter were recorded.In the H3-ECG group,ECG signals were transmitted using remote real-time modes,and confirmed reports were made by doctors in the remote expert-supporting system,while the traditional modes and detection systems were used in the Holter group.The results showed no significant differences between the two groups in 24-hour total heart rate(HR),averaged HR,maximum HR,minimum HR,premature atrial complexes(PACs)and premature ventricular complexes(PVCs)(P>0.05).The sensitivity and specificity of capture and remote automatic cardiac events detection of PACs,PVCs,and AF by H3-ECG were 93%and 99%,98%and 99%,94%and 98%,respectively.Therefore,the long-term limb triple-lead H3-ECG device can be utilized for domiciliary ECG self-monitoring and remote management of patients with common arrhythmia under medical supervision.

Improving Students’Participation and Collaboration With Adjusting Cloud Education Platform During the Real-Time Interactive Class

The purpose of this study was to find a way to promote the collaboration and interaction of students and bring about the growth of learners through feedback while taking advantage of real-time interactive class via video conferencing tools.Although real-time interactive class with using video conferencing tools had great advantages,but there were also limitations of active interaction.To this end,real-time interactive tool and cloud-based educational platform were applied to create cases of learner participation classes and analyze the cases.The convergence of real-time interactive class tools and cloud tools has been able to draw students’participation and collaboration in non-face-to-face situations,and it can be seen that it is very helpful in creating learner-centered educational activities based on communication and interaction with students.Through this,the application of the cloud-based educational platform in real-time interactive class could lead students to participate and collaborate even in non-face-to-face situations.

Patient Centered Real-Time Mobile Health Monitoring System

In this paper, we introduce a system architecture for a patient centered mobile health monitoring (PCMHM) system that deploys different sensors to determine patients’ activities, medical conditions, and the cause of an emergency event. This system combines and analyzes sensor data to produce the patients’ detailed health information in real-time. A central computational node with data analyzing capability is used for sensor data integration and analysis. In addition to medical sensors, surrounding environmental sensors are also utilized to enhance the interpretation of the data and to improve medical diagnosis. The PCMHM system has the ability to provide on-demand health information of patients via the Internet, track real-time daily activities and patients’ health condition. This system also includes the capability for assessing patients’ posture and fall detection.

多源遥感降水产品在西北干旱区的气象干旱性能评估

多源遥感降水产品在气象站点稀少或分布不均地区的干旱监测方面,发挥着至关重要的作用,比如地处中国西北的干旱区。选择5套典型遥感降水产品(PERSIANN、CHIRPS、CMORPH、TMPA和MSWEP),基于标准化降水蒸散指数(SPEI),评估了降水产品在3种时间尺度的气象干旱性能;通过游程理论识别干旱事件,阐释了遥感降水产品捕获干旱事件的能力。研究表明:(1)在西北干旱区,5套遥感降水产品均能较好地捕捉多年平均降水量的空间分布格局,但却难以准确地捕捉降水的变化趋势。(2)在捕获SPEI性能方面,MSWEP最优,其次为TMPA、PERSIANN和CHIRPS,CMORPH表现最差。1个月尺度(SPEI1)是遥感降水产品识别气象干旱的最佳时间尺度。(3)在刻画干旱事件的特性方面,CHIRPS对干旱事件数量的识别能力最佳,PERSIANN最差;MSWEP和TMPA表征干旱严重性最好,CHIRPS较差;除CMORPH外,其余4套产品均能较好地捕获干旱事件的强度和极值。综上所述,虽然5套遥感降水产品整体上可较好地捕获西北干旱区的干旱特征,但由于受降水产品反演算法、地形复杂性以及地面验证站点疏密程度的影响,较难以找到一种降水产品在捕获干旱特性所有方面均表现最优。研究成果可为区域气象干旱监测最佳降水产品的选择,以及遥感降水产品在极端干旱环境反演算法的改进方面提供参考。

PLC集中监控保护系统在带式输送机中的应用

论文提出了一种基于PLC控制器集中控制的煤矿带式输送机监控保护系统设计方案。系统以PLC作为主控制器,通过工业以太网对通信网络进行架构,有效提高系统控制性能、稳定性及传输速率,可实现对带式输送机的运行状态监测、故障预警诊断、远程控制及停机保护。

智能远程监控平台在水处理工程中的应用

文中介绍了智能远程监控平台在水处理工程中的应用,包括系统方案设计、硬件设备选型、软件平台设计、网络通信方案和安全防护措施,该平台能实时监测设备运行状态,收集关键数据,并通过远程控制与管理,实现高效运维。智能远程监控平台具有设备运行状态监控、数据采集与分析、远程控制与管理、故障预警与报警等功能,可有效提高水质安全性和运维效率,推动水处理行业的智能化发展。

基于不同卷积神经网络的目标检测算法对比研究

为实现基于遥感影像的地物信息智能化、快速化、高精度的目标检测和提取,本文基于卷积神经网络理论,对R-CNN、SPPNet、 Fast R-CNN、Faster R-CNN及Mask R-CNN 5种不同卷积神经网络算法进行对比研究。结果表明,Mask R-CNN算法在分类精度和标定框精度上具有明显优势,运行时间较传统卷积神经网络算法有较大提升,通过检测获得的二值Mask为提取影像建筑物轮廓等后续工作提供技术准备,可在高分辨率遥感影像地物检测提取中应用。

基于SEQ的外方课程在线教学质量评价体系研究

受新冠病毒感染疫情影响,中外合作办学的外方课程以远程在线模式开展教学,在线教学质量引发社会各界热议但相关研究较少。本文基于澳大利亚学生体验问卷(SEQ),结合现阶段远程在线教学环境,开发外方课程教学质量的评价指标,并通过探索性因素分析和信效度检验,形成了四个维度20个指标的新问卷。新问卷能够从学习收获、良好的教学、清晰的目标与任务、有效的资源与反馈四个维度评估学生对外方课程的学习体验,体现了教学质量评价理念从教师教学向学生体验的转变,是中外合作办学领域一个值得推广的教学质量评价方式。

基于文件名搜索的NTFS文件恢复方法研究

NTFS文件系统具有很好的容错性和安全性,是当前应用最为广泛的文件系统。在使用该文件系统的过程中,误删除文件系常见操作。本文针对误删除文件的两种情况(从回收站中删除和按shift+delete组合键删除),研究了在Winhex中通过文件名搜索的恢复方法。因数据恢复过程中经常需要对数据流进行计算,故提供了在Excel中自动计算的公式。另外,本文还涉及了远程数据恢复。

电厂远程专家分析平台的建立

提出了建立电厂远程专家分析平台的整体方案 .合理构建了电厂远程实时运行数据库平台 ,基于此数据库平台 ,进行专业应用软件的开发 .介绍了远程实时监视、远程经济性分析、远程仿真、远程故障诊断等专业软件的开发思路 .

一种智能电网保护装置远程诊断系统研究

智能电网保护装置在保障我国智能电网安全稳定运行中发挥着极其重要的作用。装置的运行异常或故障行为将会影响整个电力系统的正常工作,甚至为智能电网带来潜在隐患。如何及时诊断保护装置的运行异常及故障行为,快速恢复保护装置的正常运行,是业内普遍关注的一个主要问题。利用现有成熟的4G移动通信技术,开发了智能电网保护装置远程诊断系统,实现了保护装置的远程在线诊断。该系统为企业工程师架起了快速诊断保护装置的绿色数据通道,有效解决了以前工程师必须到达事发现场进行问题处理用时过长的弊端,为用户赢得了宝贵时间。同时该系统为保护装置软硬件研发工程师联合诊断提供了技术支撑,并为企业节约了大量维护费用。

基于ZigBee的煤矿井下通风设备远程监控系统研究

搭建Zig Bee网络实现矿井通风与设备运行状态的远程监控与管理。以MC13224单片机为核心开发易于扩展和操作的监控节点,利用分散的Zig Bee从站采样通风设备运行电压和电流、矿井瓦斯和温湿度等参数,通过预设采样频率和阈值,远程监视井下参数变化。应用表明,主、从系统抗干扰能力强,能准确反映通风系统运行状态。

复杂产品分布式并行协同虚拟装配系统研究

为解决复杂产品异地协同设计中零部件数模验证和装配评审的困难,研究了基于网络的分布式协同虚拟装配技术,提出基于高层体系结构/运行时间框架的分布式协同虚拟装配方案,解决虚拟环境中的用户管理、操作协同和交互式装配操作等问题。以此为基础开发出了支持实时协同交互装配仿真的分布式并行协同虚拟装配系统,并以某汽车部分总成网络协同装配为例验证了该方案。结果表明,该方案可以实现复杂产品设计中的异地协同装配仿真与评审。

小修作业远程控制起下管柱装置的研制

针对小修作业搬家频繁及脏、苦、累、险的工作特点,研制了一种小修作业远程控制起下管柱装置。修井机司机通过操作盘可远程控制完成油管的抓放、锁定、悬持、推送、扶正、对中、液压钳就位、上卸扣、高低换挡和自动对缺口,最终实现管柱起下;1名场地工人按动遥控器即可完成油管的拉送、翻滚和就位,实现了在井口无人情况下2人起下管柱作业。现场应用结果表明,该装置体积小、质量轻,起下管柱操作平稳、安全可靠,不但减少了用工数量,减轻了工人劳动强度,而且提高了安全操作水平。起下管柱作业施工速度可控且与人工操作水平相当,深受现场工人欢迎。

卫星海洋遥感数据的无损压缩及解压算法

在分析卫星海洋遥感单轨三级数据产品特征的基础上,针对游程编码无损压缩算法特征,提出了优化游程编码压缩算法,运用该算法实现了海洋遥感三级数据产品的无损压缩,并与流行的WinRAR压缩软件进行了比较测试,结果表明上述算法对海洋遥感数据均有较高的压缩率,优化游程编码压缩算法在空间复杂度及时间复杂度上均有明显的比较优势,可极大节约海洋遥感数据的存储与共享发布空间。

一种新型智能空调遥控器

为了解决空调遥控器不兼容问题,设计了一款基于Atmega16单片机的智能空调遥控器。该遥控器采用测量脉冲宽度的方法学习红外信号,同时使用游程编码算法对数据进行压缩后存储,并利用单片机内部定时器PWM模式产生红外载波,成功实现了对红外遥控的学习与再现,并可通过上位机进行控制。经运行测试表明,该智能遥控器操作灵活,性能稳定,为智能遥控器设计提供了一种新方案。

小修作业起下油管多功能机械手研制

在油田小修作业中,70%以上的时间用于起下油管。为了降低修井作业工人的劳动强度,减少人工操作安全风险,根据我国油田修井机小修作业起下油管运动轨迹特点,研制了一种液动多功能机械手。该机械手主要由四爪机械手、自动定位机械臂和三维位移调节支座等组成,安装在修井机尾部的井架下面,可远程控制完成对油管的抓放、扶正、推送、对中以及推拉吊环转运吊卡等功能,实现了井口无人起下油管作业。现场应用表明,该机械手结构新颖,安装维护简单,使用性能可靠,工作效率较高,满足现场修井作业要求。