Remote Monitoring Services Research Articles

기계학습기반의 근사모델을 이용한 선박 횡동요 운동 예측

Seakeeping safety module in Korean e-Navigation system is one of the ship remote monitoring services that is employed to ensure the safety of ships by monitoring the ship's real time performance and providing a warning in advance when the abnormal conditions are encountered in seakeeping performance. In general, seakeeping performance has been evaluated by simulating ship motion analysis under specific conditions for its design. However, due to restriction of computation time, it is not realistic to perform simulations to evaluate seakeeping performance under real-time operation conditions. This study aims to introduce a reasonable and faster method to predict a ship’s roll motion which is one of the factors used to evaluate a ship’s seakeeping performance by using a machine learning-based surrogate model. Through the application of various learning techniques and sampling conditions on training data, it was observed that the difference of roll motion between a given surrogate model and motion analysis was within 1%. Therefore, it can be concluded that this method can be useful to evaluate the seakeeping performance of a ship in real-time operation

Organizational model and reactions to alerts in remote monitoring of cardiac implantable electronic devices: A survey from the Home Monitoring Expert Alliance project.

This survey aimed to describe the organizational workflow of cardiac implantable electronic devices (CIEDs) remote monitoring (RM) service in ordinary practice. A questionnaire was designed for our purpose and completed by 49 sites participating to the Italian Home Monitoring Expert Alliance. A dedicated organizational model for RM was set up for 86% of centers. The median RM team consisted of 2 (Interquartile range [IQR]: 1-3) physicians and 1 (IQR: 0-2) nurse. RM service was available in working hours and the median percentage of patients included was 100% (IQR: 10%-100%) for implantable cardioverter-defibrillator (ICD) and cardiac resynchronization therapy (CRT) recipients and 5% (IQR:0%-30%) for pacemakers. In-office follow-up was performed every 12 and 6 months for pacemaker and ICD/CRT recipients, respectively. More than 90% of sites used to activate all technical alerts, with a prompt reaction in case of an out-of-range parameter. The threshold for atrial fibrillation (AF) daily burden notification in most cases ranged from 2.4 to 7.2 hours. All ventricular arrhythmias alerts were usually switched on: an inappropriate therapy or more than one appropriate episode triggered an urgent in-hospital visit. Concerning heart failure, low CRT percentage pacing alert was always used, while the other available notifications were less frequently switched on. This survey showed that RM service was usually set up with a primary nursing model including on average two responsible physicians and one nurse and mainly offered to ICD/CRT patients. Technical, AF and ventricular arrhythmia alerts triggered prompt reactions, while heart failure related indexes were generally less applied.

Contactless Monitoring of Breathing Patterns and Respiratory Rate at the Pit of the Neck: A Single Camera Approach

Vital signs monitoring is pivotal not only in clinical settings but also in home environments. Remote monitoring devices, systems, and services are emerging as tracking vital signs must be performed on a daily basis. Different types of sensors can be used to monitor breathing patterns and respiratory rate. However, the latter remains the least measured vital sign in several scenarios due to the intrusiveness of most adopted sensors. In this paper, we propose an inexpensive, off-the-shelf, and contactless measuring system for respiration signals taking as region of interest the pit of the neck. The system analyses video recorded by a single RGB camera and extracts the respiratory pattern from intensity variations of reflected light at the level of the collar bones and above the sternum. Breath-by-breath respiratory rate is then estimated from the processed breathing pattern. In addition, the effect of image resolution on monitoring breathing patterns and respiratory rate has been investigated. The proposed system was tested on twelve healthy volunteers (males and females) during quiet breathing at different sensor resolution (i.e., HD 720, PAL, WVGA, VGA, SVGA, and NTSC). Signals collected with the proposed system have been compared against a reference signal in both the frequency domain and time domain. By using the HD 720 resolution, frequency domain analysis showed perfect agreement between average breathing frequency values gathered by the proposed measuring system and reference instrument. An average mean absolute error (MAE) of 0.55 breaths/min was assessed in breath-by-breath monitoring in the time domain, while Bland-Altman showed a bias of −0.03 ± 1.78 breaths/min. Even in the case of lower camera resolution setting (i.e., NTSC), the system demonstrated good performances (MAE of 1.53 breaths/min, bias of −0.06 ± 2.08 breaths/min) for contactless monitoring of both breathing pattern and breath-by-breath respiratory rate over time.

Abstract P346: Impact of the Changing Guidelines in the Classification of Patients: Insights from a Real Life mHealth Digital Registry

Background: The recent updated AHA/ACC guidelines have spiked academic discussions on the changing prevalence of hypertensive subjects with the new thresholds. Aim: To determine the changes in classification (hypertensive or not) on a real life and spontaneous mHealth digital registry, via mobile App and website. Population and Methods: 7956 consecutive subjects (71% males; 53±11 years old) subscribed, spontaneously, a real-time BP -recording, - interpretation and -trend evaluation service (via smartphone-Health App and website platforms). Thru the digital platforms, each BP value, after consistency-checks, feeds a proprietary algorithm providing both individual BP value interpretation in comparison to the previous BP history, and BP trend and fluctuations assessments. These latter are fed back to users on their smartphone and computer screens instantly. The service complies with the most strict data privacy, safety and security requirements. Results: We collected 176432 BP measurements, overall. BP were optimal according to the AHA-ACC guidelines values (<=120/80mmHg) were in 29% of instances, while either only the systolic or the diastolic BP values were optimal in 53% of instances. Conversely, according to the most commonly used normal thresholds of BP <=130/85mmHg 63% of both systolic and diastolic BP values were normal, while either only the systolic or the diastolic BP values were optimal in 39% of instances. Conclusion: In a population of subjects, who subscribed a digital remote BP monitoring and evaluation service because they are so aware of the need of controlling their BP, the change of guidelines threshold for optimal and event reducing BP doubles the impact of non-controlled BP. This registry highlights the wide gaps still existing in achieving target blood pressure levels in real-life subjects, even in the most aware hypertensive subjects.

DEVELOPMENT OF INFORMATION AND COMMUNICATION INFRASTRUCTURE OF DISTRIBUTED COMPUTING SYSTEMS BASED ON THE CONCEPT "THE NETWORK IS THE COMPUTER"

The concept "network is a computer" that has been further developed in the form of a paradigm of cloud applications that have the properties of "multi-lease"and "live" database migration is considered. Of particular interest in this regard is the development of a middleware for large reconfigurable clustered server systems as part of the support of the "big data" concept. Therefore, an approach is being developed to design a reconfigurable and parametrically tuned system and functional architecture of distributed computing systems. In some cases, the implementation of this approach can provide increased efficiency and cost reduction of large software and hardware systems. The article categorizes distributed computing systems when taking into account the specifics of cloud, grid, cluster and other types of communal, parallel and distributed computations. It is recommended to use as a basis hybrid architectures that combine the positive properties of cloud, grid and cluster distributed computing systems. The concept of organization of distributed network computing as services, implemented at the client's request, is developed. A network model that describes the work of a hybrid cloud grid system with third-party auditors and cloud service providers, is proposed. A distinctive feature of the proposed model is that when implementing as a concept NCaaSoD (network architecture as a service on the user's request) before the execution of a request, such as Upload (uploading data to the cloud), meta-information about available resources in order to further create a virtual cluster from the available nodes of the network of the cloud service provider, and before requesting the download type request (request information from the cloud), information is requested about the nodes that store the results. Meta-information can be obtained not only from a third-party auditor, but also from a remote monitoring service. To further develop the proposed concepts to real technology, it is advisable to develop a methodology for transforming conceptual models of the system and functional architecture into specifications suitable for the formation of virtual topologies of a network computer such as NCaaSoD in a hybrid cloud environment.

CMS Signals Support for Remote Patient Monitoring with New Reimbursement Incentives

Two final rules issued by The Centers for Medicare & Medicaid Services (CMS) in November 2017 gave physicians and other healthcare providers ringing in the New Year another reason to celebrate. The Centers for Medicare & Medicaid Services has opened entirely new avenues for reimbursement of Remote Patient Monitoring (RPM) services in 2018, creating the potential for better patient outcomes and a boost to a healthcare providers’ bottom lines.

Supply chain coordination of incomplete preventive maintenance service based on multimedia remote monitoring

Manufacturing relies on the Internet of things and intelligent internet technology to provide users with remote monitoring services and early warning of failure, to ensure the smooth operation of the equipment. Based on this background, this paper takes equipment user (customer) and maintenance service provider (agent) consist of the two-stage maintenance service supply chain as the research object. A model is proposed for the maintenance service contracts design, optimization under decentralized decision-making and centralized decision-making. The model is developed under the assumption that there is one customer and one unique service provider who is the Original Equipment Manufacturer (OEM) and is called the agent in this paper. Besides, an extensive sensitivity analysis is performed to examine the impact on the improvement factor of the model output. Under the selective maintenance service outsourcing strategy, the agent makes the price of incomplete preventive maintenance, and the customer decides the incomplete preventive maintenance cycle and the times according to the price. Confronting the equipment failure, customer self-repair service and commitments for the loss of equipment downtime, the customer decides the optimal maintenance services prices, and the agent decides the optimal numbers and the cycles of the preventive maintenance service (equipment life).

Development of a Context-aware framework for the Integration of Internet of Things and Cloud Computing for Remote Monitoring Services

With global competition and technological progress, there have been growing demands by industry for more efficiency in monitoring the health status of the manufacturing equipment in real time. Remote monitoring services in the era of Industry 4.0 are nonetheless faced some challenges such as big data’s 4V challenges (volume, velocity, variety, veracity), scalability, data heterogeneity, as well as relevant to integrating data with domain knowledge. While all these pose problems in conventional monitoring, they become even more challenges when integrating IoT and cloud computing to deliver advanced services to offer infrastructure availability and ubiquitous accessibility. Although it offers many benefits and solution enablers, substantial effort is required to manage and exploit the data generated by "things". Among the key instruments to tackle such complexity is the concept of context information management. This paper proposes a conceptual context-aware framework for the integration of Internet of Things and cloud computing for remote monitoring services.

Automated Spirometry Quality Assurance: Supervised Learning From Multiple Experts.

Forced spirometry testing is gradually becoming available across different healthcare tiers including primary care. It has been demonstrated in earlier work that commercially available spirometers are not fully able to assure the quality of individual spirometry manoeuvres. Thus, a need to expand the availability of high-quality spirometry assessment beyond specialist pulmonary centres has arisen. In this paper, we propose a method to select and optimise a classifier using supervised learning techniques by learning from previously classified forced spirometry tests from a group of experts. Such a method is able to take into account the shape of the curve as an expert would during visual inspection. We evaluated the final classifier on a dataset put aside for evaluation yielding an area under the receiver operating characteristic curve of 0.88 and specificities of 0.91 and 0.86 for sensitivities of 0.60 and 0.82. Furthermore, other specificities and sensitivities along the receiver operating characteristic curve were close to the level of the experts when compared against each-other, and better than an earlier rules-based method assessed on the same dataset. We foresee key benefits in raising diagnostic quality, saving time, reducing cost, and also improving remote care and monitoring services for patients with chronic respiratory diseases in the future if a clinical decision support system with the encapsulated classifier is to be integrated into the work-flow of forced spirometry testing.

From the Pilot to the Project. Adding remote monitoring into an existing integrated clinical pathway (COMPARTE) to manage COPD and/or HCF patients

Introduction : Home remote monitoring of dependent and chronic patients is one of Telemedicine applications with great savings potential for health systems. However, the practice of telemedicine is not definitely settled in healthcare organizations. Telemedicine works well but mostly has been only tested in controlled scenarios as pilots. The Public Health Consortium of “Hospital San Juan de Dios” in Aljarafe-Seville (HSJDA) proffered to Linde Healthcare in 2014 implement a Telemonitoring Homecare Program (TMHP) for patients with advanced and complex chronic diseases from HSJDA health area and treated under the COMPARTE protocol of North-Aljarafe District. The implementation project is exposed. Implemented Practice: Tele-Monitoring Homecare Program . Goals : Early detection of exacerbations to take action earlier and prevent negative effects on the health of the patients which bring them to take repeated visits to emergency room or hospital admissions. To improve patient´s health outcomes, in a satisfactory way for professionals, economically sustainable, maintained in time and transferable to other points of care. PROJECT IMPLEMENTATION DESCRIPTION . Planning : - All stakeholders contribution in the project design: hospital and primary care physicians who prescribe TMHP, Salud Responde, “061”, tele-monitoring center (TMC) and homecare service of Linde Healthcare. - Identification of target population. Patients with COPD and / or advanced CHF who are being included under the “COMPARTE” protocol and meet the inclusion criteria (around 100 patients in simultaneous attention). - Clinical protocol design. Define care procedures, physiological parameters to be monitored remotely and clinical protocols to manage clinical alerts. − Information and communication flow definition. − Information System (IS). Record and access definition. Physiological parameters and questionnaires are recorded into TMHP platform that is accessible from any level or point of care. − Training Plan and Educational Manuals definition. − Scheduling. Testing Period and proof of concept for applicability by the end of 2015 (2 months, 2 health basic units). Rest of the district kick off in March 2016. Duration of agreement is 1 year. B. Safety and Legal Issues of TMHP service by contract. Compliance of Data Protection Act. C. Impact assessment strategy. Define indicators of activity, management and quality of TM, clinical process (exacerbations, severity, medical consultations), health outcomes (emergency room calls/visits, hospital admissions, average stay, quality of life, deaths) and satisfaction for comparing between similar patients without TMHP. Remote monitoring implementation. Organization and management. - designation. - Technology and infrastructure selection. Device identification to fulfill monitoring parameters requirements. Suitable ICTs. - Operational issues. Infrastructure and equipment availability depending on TMHP service requests determine human resources, functionality, timetable and sizing of the TM center and homecare service. - Training plan execution. Key findings : TMHP project complements an already established integrated clinical protocol (COMPARTE). No major organizational changes will be needed. Design was mainly focused on clinical protocols and communication flows, without overstating the capabilities of the technology but without underestimating the technical complexity. Highlights : Shifting remote monitoring from patients with _only one illness_ to patients with _multiple pathologies_. A multidisciplinary and multilevel health care with dual management (public and private) which requires broadening the spectrum of partners and learning how to integrate in a consensual mode each partner demands. Conclusions : We believe that the success factors (_Momentum_) for the implementation of remote monitoring services provided by a strategic partner are: Underlying Factors: − Sustainability. Friendly technology, scalable and economically bearable solutions. − Information Technology and eHealth infrastructures that meets the needs demanded today: access from any location; integration of information multi-device and multi-brand and decision-making algorithms with proven efficacy. − 365 days service maintenance system. − Accomplishment of security and privacy issues. Factors to be developed in each project: − Service Legal aspects: authorizations and contracts. − Focus on customer and patients needs. − Binomial Project Leader - Manager concept. − Involve decision makers and health professionals. − Provide solutions to change the way the professionals work (Change Management). − Settle the path to model replication (transferability). Telemedicine will progress as a complement for other eHealth scenarios. This will modify established schemes of health services delivery and will give place to strategic and organizational implications with changes in resources management such as the _disinvestment_ of existing procedures to transfer its value toward more efficient health care processes.

Cardiauvergne is a remote monitoring and care coordination service for patients with severe heart failure

Since 2011, thanks to the cooperation of frontline healthcare professionals, it has provided care to more than 1200patients across the Auvergne health region. The organisation, blending telemedicine and human contact, has made this initiative a successful example of how the boundaries between community and hospital healthcare can be removed.

A cost analysis of remote monitoring in a heart failure program

ABSTRACTIn this study, we examine the cost per outcomes of remote monitoring services in home health care. The methodology followed case matched design via retrospective chart reviews. Results of the chi-square test suggest that there were no significant associations between the intervention and hospital readmissions, χ2 = (1, n = 210, p-value = .71, phi = .71). An independent t-test compared group means of the number of skilled nursing visits and agency costs, p-value of .002 and .000, respectively, favoring the standard of care group. Based on this data set, the home care agency lost $153.46 for each hospital readmission in the intervention group. The cost of care complicated the agency’s resources through an increase in nursing visits without offsetting the agency’s investment into technology; the cost did not support remote monitoring as a financially viable option to the standard of care.

Patient Condition Monitoring Modular Hospital Robot

In this paper an intelligent system for remote patient physical condition monitoring service module for an Intelligent Robot Swarm for Attendance, Recognition, Cleaning and Delivery (iWARD) [1] is reported. The system algorithm and module software is implemented in C/C++, and the Orca robotics [2] components use the OpenCV [3] image analysis and processing library. The system is successfully tested on Linux (Ubuntu) platform as well as on a web server. The patient condition monitoring system can remotely measure the following body conditions: body temperature (BTemp), heart rate (HR), electrocardiogram (ECG), respiration rate (RR), body acceleration (BA) using sensors attached to the patient’s body. The system also includes an RGB video camera and a 3D laser sensor, which monitor the environment in order to find any patient lying on the floor. The system deals with various image-processing and sensor fusion techniques. The iWARD patient condition monitoring module evaluation tests were carried out in front of thirty healthcare professionals (doctors, nurses, nursing lecturers and healthcare assistances etc) during the final review meeting of the consortium and in two teaching hospitals (in Newcastle and San Sebastian, 2009) in Europe. The post iWARD system improved upon the prototype by adding a 3D laser sensor and replacing the original camera with a high quality Pan-Tilt-Zoom (PTZ) camera and implementing the identity detection methods. This allowed for the use of more robust patient condition monitoring algorithms. The outcomes of this research have significant contribution to the robotics application area in the hospital environment.

Transmission Rates of Implantable Loop Recorders with Remote Monitoring Follow-Up

Introduction: Implantable cardiac loop recorders (ILRs) are implanted to help establish a correlation between symptoms and cardiac arrhythmias in patients suffering from recurrent syncope of unknown aetiology. The Reveal LINQ ILR has increased remote monitoring capabilities and allows automatic transmissions for the detection of atrial fibrillation, bradycardia, tachycardia, and pauses of programmable rates/duration, as well as patient initiated transmissions. Methods: 33 patients (20 reveal LINQ: 13 Reveal DX/XT) are followed up via our remote monitoring service. We retrospectively analysed the total number of transmissions, including routine, patient initiated and episode initiated transmissions over a six-month period between June and December 2015. Transmissions were further analysed, and classified as being appropriate or inappropriate due to over sensing, under sensing or signal drop out. Results: Over the six-month period 294 remote transmissions were received for ILRs (275 LINQ: 19 Reveal DX/XT). The median number of transmissions per patient, per year was 37.3 for LINQ compared to 3.5 for Reveal DX/XT. Of the 275 LINQ transmissions, 216 were automatic transmissions, 59 were patient initiated. 46.5% of all transmissions and 59.6% of all automatic transmissions were deemed inappropriate. Inappropriate episodes were documented in 9 of the 20 LINQ patients. Conclusion: There is an increased transmission rate associated with LINQ when compared to Reveal DX/XT when followed up with remote monitoring. While there is improved availability of events with LINQ, a substantial portion of LINQ transmissions occur due to misdiagnosis of a rhythm by the device.

On estimating quality of elderly monitoring service based on sensor reliability

AbstractRemote monitoring service for elderly people is an effective method to support elderly people with safe. In this paper, we tackle to reveal the relationships between quality of elderly monitoring service and sensor reliability in remote monitoring service. To achieve the above goal, we propose four step methods, generalization by three-actor model, designing the algorithms of the three-actor and simulation of RMS. Moreover, we construct the elderly model based on the statistics report. Our most important contribution shows that the guideline, which shows the references between sensor accuracy and reliability of RMS. This guideline will provide benefit for RMS service provider and end-user.

SCRHM: A Secure Continuous Remote Health Monitoring System

With the growing need for the remote caring at home and the everincreasing popularity of mobile devices, more and more applications are being developed to enable remote health monitoring. Combining cloud computing with mobile technologies has enabled the healthcare service provider to offer continuous health data collection and physicians to conveniently monitor and assess users’ health while they are at home. However, users’ health data contain highly confidential information, and servers in the cloud are out of users’ trusted domain. Therefore, users may be reluctant to take advantage of remote health monitoring systems before they make sure their data are properly protected. In this paper, we propose a secure continuous remote health monitoring system named SCRHM with the main component, a searchable encryption scheme supporting range searches for remote health monitoring system. With this scheme, remote health monitoring service provider is able to detect outliers over encrypted health parameters. Using analysis, we prove the correctness and security of the proposed scheme on privacy protection of users’ health data. Via simulation experiments, we validate the performance of the proposed scheme in terms of computation and communication overhead.

The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial.

BackgroundOverweight and obesity, due to a Westernized diet and lack of exercise, are serious global problems that negatively affect not only personal health, but national economies as well. To solve these problems, preventative-based approaches should be taken rather than medical treatments after the occurrence of disease. The improvement of individual life habits, through continuous care, is thus a paramount, long-term treatment goal. This study describes the effects of ubiquitous health care (uHealth care) or SmartCare services in the treatment of weight loss and obesity.ObjectiveThe aim of this study is to evaluate the effect of SmartCare services on weight loss compared to the effects of existing outpatient treatments in obese patients with metabolic syndrome.MethodsMetabolic syndrome patients who met the inclusion/exclusion criteria were enrolled in the study and randomized into an intervention or control group. The intervention group was provided with remote monitoring and health care services in addition to the existing treatment. The control group was provided with only the existing treatment. Pedometers were given to all of the patients. Additionally, mobile phones and body composition monitors were provided to the intervention group while body weight scales were provided to the control group. The patients visited the hospitals at 12 and 24 weeks following the baseline examination to receive efficacy and safety evaluations.ResultsMean weight reduction from baseline to week 24 was measured as a primary efficacy evaluation parameter and was found to be 2.21 kg (SD 3.60) and 0.77 kg (SD 2.77) in the intervention and control group, respectively. The intervention group had a larger decrement compared to the control group (P<.001). Among the secondary efficacy evaluation parameters, body mass index (BMI) (P<.001), body fat rate (P=.001), decrement of waist measurement (P<.001), and diet habit (P=.012) improvement ratings from baseline to week 24 were found to be superior in the intervention group compared with the control group. The proportion of patients whose body weight decreased by ≥10%, lipid profiles, blood pressure, prevalence of metabolic syndrome, change in the number of metabolic syndrome elements, smoking rate, drinking rate, and physical activity were not statistically significant between the groups.ConclusionsThe efficacy of SmartCare services was confirmed as the intervention group that received both SmartCare services and the existing treatment had superior results compared with the control group that only received the existing treatment. Importantly, no specific problems with respect to safety concerns were observed. SmartCare service is thus an effective way to control the weight of obese patients with metabolic syndrome.Trial RegistrationClinicaltrials.gov NCT01344811; https://clinicaltrials.gov/ct2/show/NCT01344811 (Archived by Webcite at http://www.webcitation.org/6alT2MmIB)

Remote safety monitoring for elderly persons based on omni-vision analysis.

Remote monitoring service for elderly persons is important as the aged populations in most developed countries continue growing. To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automatically. In this work, we have made the following contributions: (1) we develop a remote safety monitoring system which can provide real-time and automatic health care for the elderly persons and (2) we design a novel motion history or energy images based algorithm for motion object tracking. Our system can accurately and efficiently collect, analyze, and transfer elderly activity information and provide health care in real-time. Experimental results show that our technique can improve the data analysis efficiency by 58.5% for object tracking. Moreover, for the human posture recognition application, the success rate can reach 98.6% on average.

Oil Tank Monitoring System to Prevent Oil Pollution

With the national safety supervision departments and environmental protection departments having increasingly stringent safety monitoring requirements on large-scale flammable and explosive petroleum and chemical storage tanks, the security automatic monitoring and information management automation systems of the oil depot are increasingly being valued by the people, and it is more urgent to build the digital oil depot security monitoring management system. The new monitoring system can achieve the unified supervision of the oil depot digital business, and can also raise the comprehensive unified management level of fire protection, safety and oil plants, and can also provide remote monitoring services to the higher management level.

Modelling of remote monitoring services for elderly people

Modelling of remote monitoring services for elderly people