Remote Device Management Research Articles

ID: 341598 Six-Month Results from a Prospective Multicenter Study of Multiphase SCS System With Remote Device Management

ID: 341598 Six-Month Results from a Prospective Multicenter Study of Multiphase SCS System With Remote Device Management

ID: 341475 Long-Term Study of SCS System With Multiphase Stimulation and Remote Device Management: Interim 12-Month Results

ID: 341475 Long-Term Study of SCS System With Multiphase Stimulation and Remote Device Management: Interim 12-Month Results

ID: 341437 Remote Management of SCS Devices for Chronic Pain: Update on Expert Recommendations and Available Evidence

ID: 341437 Remote Management of SCS Devices for Chronic Pain: Update on Expert Recommendations and Available Evidence

ID: 341544 Proactive Remote Device Management Enables Rapid SCS Optimization: 6-Month Results from a Prospective Multicenter Study

ID: 341544 Proactive Remote Device Management Enables Rapid SCS Optimization: 6-Month Results from a Prospective Multicenter Study

Remote Serial Port Virtualization Management System based on Brotli Compression Algorithm

With the rapid development of information technology, data communication and management systems are becoming more and more important in various industries. Especially in remote device management and data center operations, effective data processing and transmission mechanisms are crucial to ensuring system performance and reliability. In this context, serial port virtualization technology is particularly important because it allows remote devices to be controlled and monitored over the network, so that physical location constraints are no longer an obstacle to efficiency and effectiveness. However, as the amount of data increases, the efficiency of data transmission and storage becomes a key issue. Although traditional compression algorithms solve this problem to a certain extent, they often fail to provide ideal compression ratios and processing speeds when processing large amounts of data, especially in environments with limited bandwidth or limited computing resources. Therefore, finding an efficient compression algorithm has become the key to improving the performance of the remote serial port virtualization management system. This article adopts the method of integrating the Brotli algorithm into the system to solve the data compression and transmission efficiency problems faced in the traditional serial port virtualization system, thereby improving the overall performance and user experience.

ID: 214658 First-in-Human Experience With an Implantable SCS System With Automated Daily Remote Monitoring and Remote Programming

The BENEFIT-03 Study (NCT04683718) is designed to evaluate the safety and effectiveness of an implantable spinal cord stimulation (SCS) system with multiphase stimulation and remote device management. While results of an SCS teleprogramming pilot study have been reported previously,1 to our knowledge, BENEFIT-03 is the world’s first long-term study of an SCS system with automated remote device monitoring and remote programming capabilities.

ID: 214607 First-in-Human Study Protocol to Evaluate a Multiphase Spinal Cord Stimulation System With Remote Device Management

Short-term clinical results from the BENEFIT-02 study1 provided evidence to support the use of novel multiphase spinal cord stimulation (SCS) to aid in the management of chronic low back and leg pain. Other recent SCS paradigms require in-person reprogramming and stimulation adjustments to optimize stimulation parameters. It is hypothesized that providing patients with more convenient access to optimize SCS therapy through remote device management (i.e., automated remote device monitoring and remote programming) may improve their experience with SCS therapy. BENEFIT-03 (NCT04683718) is the first long-term study of an SCS system with remote management capabilities.

A pluggable module for enabling a trusted edge device management system based on microservice

In the development of the intelligent Internet of things, edge computing plays a key role. Not only that it has the characteristics of a quick response, but it can also effectively reduce the burden of cloud computing. In addition, it can also extend the application of network edge through the coexistence and collaboration with the cloud system. However, with a large number of edge devices being deployed, the previous remote device management system will face the challenges of resource constraints and software firmware compatibility. In addition, implementing remote fault management, configuration management, accounting management, performance management, and security management through edge device management is a key task. Therefore, this study has designed and implemented a trusted edge device management system based on a microservice and a plug-and-play hardware management device. The running state of the edge device, the functions of remote device control, and system restart are monitored remotely by in- and out-of-band management modes. In addition, in terms of data transmission security, the design concept of a trusted platform module is introduced to realize data encryption and authentication, and ensure security and reliability. In this paper, the operational feasibility of management services based on containerized microservice in edge devices is verified with system benchmarking tools without affecting system performance. According to the experimental results, the proposed architecture in this study can be effective in edge device management.

Data Interworking Model and Analysis for Harmonization of Smart Metering Protocols in IoT-Based AMI System

In the energy sector, since the adoption of remote device management for massive advanced metering infrastructure (AMI) devices and Internet of Things (IoT) technology using a representational state transfer (RESTful) architecture, a blurred boundary has been developed between traditional AMI and IoT. With respect to smart meters, the standard-based smart metering protocol, called the device language message specification (DLMS) protocol, still has a predominant role in the AMI industry. Thus, we aim to propose a novel data interworking model in this article that embraces the DLMS protocol in AMI using the most promising IoT protocol, the so-called lightweight machine-to-machine (LwM2M) protocol. We provide a 1:1 conversion model using the correlation of the two protocols with an analysis of the object modeling and resource management methods of both the LwM2M and DLMS protocols. The proposed model utilizes a complete RESTful architecture, which is the most beneficial in the LwM2M protocol. It improves the average packet transmission efficiency and packet delay on the plaintext and encrypted text (session establishment and authenticated encryption) by 52.9%p and 9.9%p, respectively, and by 11.86 ms for both cases, compared to the encapsulation method of the LwM2M protocol, KEPCO's current approach. This work provides the key idea to unify the protocol for the remote metering and device management of field devices into the LwM2M protocol, and it is expected that this work will improve the efficiency in the operation and management of KEPCO's AMI system.

Remote Device Management via Smart Contracts

With the continued scaling of transistor feature size, the cost of IC development has been escalating. The economics of semiconductor IC development favors high volume manufacturing, while high volume cannot be attained without developing an IC that serves many applications. Some of these applications are in low-margin Internet of Things (IoT) devices, where an SoC cannot command a high price. Consequently, without the ability to customize IC features after production, its lowest-priced application will determine an IC’s price. This motivates the manufacturers to develop chips with provisions for post-manufacturing IC customization. This paper explores how an IC can be programmed repeatedly and securely using blockchain-based smart contracts to allow users to upgrade or <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rent</i> features. The availability of such a system could, for example, allow a buyer to upgrade her processor from a low-end to a high-end part by making an additional payment to the manufacturer. Implementing such a system will require remote device management capabilities. Remote device management presents unique design considerations, such as, necessity for transparency of the actions that a device takes on behalf of a user; the requirement of a trusted arbiter; and provision for management of these devices beyond the intended lifespan. To overcome the challenges of transparency, longevity, and the necessity of a trusted arbiter, we propose embedded smart contracts in concert with a blockchain. Our proposed smart contract takes the device feature configuration request as input and outputs the corresponding configuration. To support remote, secure, and authorized updates, we propose an on-die hardware module which communicates with the smart contract and enforces its functionalities. This was prototyped using a programmable system-on-chip working in concert with Ethereum blockchain. The prototype demonstrates the feasibility and practicality of the proposed solution.

Design of the Secure Smart Home System Based on the Blockchain and Cloud Service

In this paper, a variety of cloud service combinations is used to form the control core of a smart home, realize data forwarding, storage, and analysis in the cloud, and complete the remote management of smart home devices. This paper studies the secure access control of smart home data combined with the blockchain technology and password technology to realize the secure and efficient access control of smart home data. The system can achieve the goal of independent research and development. Aiming at the problem that the access control of a smart home is generally managed by third-party authorized institutions and there is an unauthorized access, a blockchain-based smart home (BSH) access control scheme is proposed. The scheme extends the attribute-based access control model (ABAC) and applies the blockchain technology to the smart home ABAC model to realize fine-grained access control. In the scheme, the resource provider first publishes the access control policy of the resource to the blockchain. If the resource visitor wants to access the resource, he needs to submit an access request to the blockchain and use an SM2 threshold signature to process the transaction proposal. The endorsement peer node in the blockchain runs the access control policy smart contract to decide whether to grant access rights. This scheme can ensure that resource providers can participate in all the processes of access control and avoid the risk of unauthorized access caused by the centralized management of the third party. Finally, the simulation experiment is carried out on the Hyperledger Fabric alliance chain development platform. The results show that the BSH access control scheme has good applicability in the smart home scenario.

EP News: Case Reports

In the setting of a general transition to remote management of cardiac implantable devices, manufacturers are increasingly using this form of monitoring for device advisories. Recently, Abbott Medical (Lake Forest, IL) issued a safety notification for a subset of their pacemakers because of the potential of premature battery depletion and a higher risk of rapid transition from elective replacement indicated status to end of life (EOL) that could compromise device function. Melman et al (https://doi.org/10.1016/j.hrcr.2021.09.013) shared the cases of 2 patients with rapid pacemaker generator dysfunction that occurred before remote communication.

Energy‐efficient remote mobile device management in infrastructure‐less environment for emergency assessment

SummaryPersonal mobile devices, or PMDs, have the main objective of supporting connectivity in infrastructured network. However, they are rarely researched to support connectivity in infrastructure‐less network environment, particularly in case of no network or when existing network is damaged. This research direction has significant benefit towards emergency management, where PMDs in affected areas can be configured to establish inexpensive infrastructure‐less network for victims' information gathering. Existing PMD configurations techniques either lack flexibility and hinder device reachability or are slow and consume significant energy. These factors have motivated towards the two‐fold contribution proposed in this paper—(1) a novel over‐the‐air mobile device management approach of PMDs to establish multi‐hop infrastructure‐less network and (2) additional over‐the‐air sensing configuration of PMDs to record and transmit incapacitated victims' surrounding conditions using proposed network. These contributions allow multiple PMDs to establish network with minimal time and energy overheads, leading to efficient emergency management. Simulation and testbed results validate proposed approaches.

IoT platforms for the Mining Industry: An Overview

Industry 4.0 and the Internet of Things are now very common concepts as solutions that can revolutionize the industry. Constanttechnological progress increases the possibilities of using computer tools and solutions to support processes in industry and productionoptimization. The use of the Internet of Things is particularly important in complex processes in mining, enabling the extractionof valuable information from data. The integration of physical facilities in the enterprise enables the digitization of productionprocesses and the increase of efficiency and security.This article presents an overview of the selected internet of things platforms and analytical tools that can be used in industry, withparticular emphasis on the mining sector. It is pointed out, that the number of suppliers of IoT technologies and analytical toolsoffering advanced data analytics services for industry is significant and constantly evolving. The aim of the article is to evaluateselected IoT solutions based on the following criteria: offering predictive analytics, implemented artificial intelligence (AI) ormachine learning (ML) algorithms, a mining-oriented process approach, advanced data visualization, interoperability, real-timedata capture, remote device management and cloud-based technology. The review was prepared to provide knowledge about IoTvendors operating on the market, as well as to indicate the functionalities that are the most popular among solutions.

Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings.

Worldwide, energy consumption and saving represent the main challenges for all sectors, most importantly in industrial and domestic sectors. The internet of things (IoT) is a new technology that establishes the core of Industry 4.0. The IoT enables the sharing of signals between devices and machines via the internet. Besides, the IoT system enables the utilization of artificial intelligence (AI) techniques to manage and control the signals between different machines based on intelligence decisions. The paper’s innovation is to introduce a deep learning and IoT based approach to control the operation of air conditioners in order to reduce energy consumption. To achieve such an ambitious target, we have proposed a deep learning-based people detection system utilizing the YOLOv3 algorithm to count the number of persons in a specific area. Accordingly, the operation of the air conditioners could be optimally managed in a smart building. Furthermore, the number of persons and the status of the air conditioners are published via the internet to the dashboard of the IoT platform. The proposed system enhances decision making about energy consumption. To affirm the efficacy and effectiveness of the proposed approach, intensive test scenarios are simulated in a specific smart building considering the existence of air conditioners. The simulation results emphasize that the proposed deep learning-based recognition algorithm can accurately detect the number of persons in the specified area, thanks to its ability to model highly non-linear relationships in data. The detection status can also be successfully published on the dashboard of the IoT platform. Another vital application of the proposed promising approach is in the remote management of diverse controllable devices.

Abstract 287: Vendor-neutral Clinic Management Software Use Is Associated With Time Savings For Remote Monitoring

Background: As cardiac implantable electronic devices (CIEDs) have increased in complexity and sophistication, a transition from in-person follow-up to remote device management has taken place. The amount of information collected via cardiac devices has also increased, making the development of efficient workflows necessary for operational sustainability. Vendor-neutral clinic management software organizes patient, device, and programmer information, and thus has potential to improve remote monitoring workflow and data management. This study sought to examine whether management software use is associated with reduced time to review manage remote transmissions. Methods: A time and motion workflow analysis was performed in 6 U.S. cardiac device clinics, 3 of which use management software (Medtronic Paceart Optima™). Participating sites had an average size of 4,217 (range of 870 to 10,336) CIED patients managed. Each step involved in remote transmission review (including all clinical and administrative tasks, such as chart documentation and billing) was repeatedly timed, for all device models/manufacturers, during one business week (5 days) of observation at each clinic. The time to review an average remote transmission was calculated based on the mean time to perform each step as well as published literature, and stratified by sites with or without management software. Annual staff time required for remote monitoring was modeled by multiplying the average remote transmission review time by the average number of annual transmissions per patient across the 6 sites: 16.1 transmissions/year, representing a weighted average of therapeutic cardiac devices (4.2 transmissions/year) and insertable cardiac monitors (38.9 transmissions/year). Results: A total of 1,290 remote transmission review activities (725 with management software; 565 without management software) were observed and measured during 6 weeks of data collection. On average, the total staff time to review a remote transmission was 2.1 minutes lower at sites with management software (13.6 vs. 11.5 minutes). Extrapolated to the average clinic size of 4,217 patients, this translates into a potential annual time savings of 2,329 hours for sites with management software (13,026 vs. 15,355 hours of total transmission review time). This represents collective time savings across all clinical and administrative staff, and equates to 1.24 annual full-time equivalents (6.9 vs. 8.2 full-time equivalents). Conclusion: Remote monitoring of CIED patients requires significant staff time in cardiac device clinics. Management software is an effective tool in optimizing management of remotely monitored patients, and these benefits may translate into time savings for cardiac device clinics.

Remote Management of Boundary Protection Devices with Information Restrictions

Boundary Protection Devices (BPDs) are used by US Government mission partners to regulate the flow of information across networks of differing security levels. BPDs provide several critical functions, including preventing unauthorized sharing, sanitizing information, and preventing cyber attacks. Their application in national security and critical infrastructure environments (e.g., military missions, nuclear power plants, clean water distribution systems) calls for a comprehensive load monitoring system that provides resilience and scalability, as well as an automated and vendor neutral configuration management system that can efficiently respond to security threats at machine speed. Their design as one-way traffic control systems, however, presents challenges for dynamic load adaptation techniques that require access to application server performance metrics across network boundaries. Moreover, the structured review and approval process that regulates their configuration and use presents two significant challenges: (1) Adaptation techniques that alter the configuration of BPDs must be predictable, understandable, and pre-approved by administrators, and (2) Software can be installed on BPDs only after completing a stringent accreditation process. These challenges often lead to manual configuration management practices, which are inefficient or ineffective in many cases. The Hammerhead prototype, developed as part of the SHARC project, addresses these challenges using knowledge representation, a rule-oriented adaptation bundle format, and an extensible, open-source constraint solver.

Intrusion detection system using timed automata for cyber physical systems

Operational Technology (OT) often refers to the industrial control systems which are used to monitor and control the devices and processes of critical infrastructure like, water treatment plant, power grid and sewage systems. Conventionally, these OT systems are completely isolated from Information Technology (IT) infrastructure to protect their processes and devices against cyber-attacks. However, the convergence of IT and OT is inevitable to improvise the remote management of physical devices and to enhance the production by incorporating data-driven decision making by accessing and analyzing their real-time data. To achieve this, the isolated OT systems and devices need to be accessed using Internet. However, this interconnection leads both the sensor and control data of OT systems vulnerable to cyber-attacks. This research work extends our previous intrusion detection system that identifies anomalies which are deviated from process-invariants in secured water treatment (SWaT) test-bed data obtained from Singapore University of Technology and Design (SUTD). Additionally, it proposes process-invariants based timed automata wherein the attack and its detection model are represented as timed automata. The proposed system is implemented and validated using UPPAAL, a tool for validating real-time systems represented as networks of timed automata. The results conclude that the proposed system effectively identifies the attacks considered thereby recommending the timed automata as an operational tool for detecting the data-integrity attacks in critical infrastructures. The highly reported attacks that include level indicators, motorized valves, pressure indicators and analyzer indicators are detected successfully by the proposed system. Using the results, Stage 1 and Stage 3 are highly vulnerable.

Fighting network restrictions of request‐response pattern with MQTT

As Internet-of-Things (IoT) devices become more powerful, they can also become full participants of Internet architectures. For example, they can consume and provide RESTful services. However, the typical network infrastructures do not support the architecture and middleware solutions used in the cloud-based Internet. The authors show how systems designed with RESTful architecture can be implemented by using an IoT-specific technology called message queuing telemetry transport (MQTT). Their example case is an application development and deployment system that can be used for remote management of IoT devices. To evaluate the proposed solution, they performed resource consumption experiments to compare HTTP and request-response usage of MQTT. The results suggest that MQTT uses less central processing unit time and memory.

P4256Outsourcing of remote management of cardiac implantable electronic devices through an external remote monitoring center: an efficacy and safety evaluation

P4256Outsourcing of remote management of cardiac implantable electronic devices through an external remote monitoring center: an efficacy and safety evaluation