Remote Monitoring Software Research Articles

Remote monitoring of the course of bronchial asthma in children

Aim: to evaluate the eff ectiveness and satisfaction of patients with bronchial asthma (BA) using the remote monitoring software product “ASTMATEST”. Materials and methods. A specialized website “ASTMATEST” — ww.asthmatest.ru was developed for conducting remote and timely telemonitoring of the health status of patients with verifi ed BA. An open prospective comparative study was conducted at the pediatric department of the City Children’s Clinical Hospital in Ufa from November 2022 till April 2023. The study included 2 groups of patients, similar in age and demographic indicators: the main group consisted of 38 (57.8 %) children whose parents agreed to use the information system of the website “ASTMATEST” in combination with its traditional methods, the control group included 34 (43.2 %) children whose parents refused to use the software product due to various reasons. The effectiveness of remote monitoring was analyzed by comparing the morning and evening peak flow meter readings, symptom control report data. Satisfaction with the work and use of the remote monitoring technology of the website “ASTMATEST” by patients with BA and their parents was assessed through a sociological survey using questionnaires. Results. In the main study group, the proportion of patients with severe BA decreased to 18.42 % due to an increase in the proportion of patients with mild (up to 34.21 %) and moderate (47.37 %) severity of BA. In the control group, the proportion of patients with mild BA decreased to 40.74 %, due to an increase in the proportion of patients with moderate (up to 44.44 %) and severe (14.82 %) severity. Conclusion. During the survey of patients in the main group using a specially designed questionnaire, it was found that the majority of patients and their parents/legal representatives are willing to continue using the developed software product to assess the level of disease control and adherence to doctor’s recommendations and prescriptions.

ОБУЧЕНИЕ ОХРАНЕ ТРУДА И ЭЛЕКТРОБЕЗОПАСНОСТИ С ИСПОЛЬЗОВАНИЕМ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ И СРЕДСТВ ДИСТАНЦИОННОГО ОБРАЗОВАНИЯ В УЧЕБНОМ ЦЕНТРЕ «ПРОГРЕСС»

The information technologies used in education are considered, the website of the training cen-ter «PROGRESS» is presented, on the basis of which a remote training and monitoring software product has been developed that allows conducting training on labor protection in electrical safetyThe information technologies used in education are considered, the website of the training cen-ter «PROGRESS» is presented, on the basis of which a remote training and monitoring software product has been developed that allows conducting training on labor protection in electrical safety

Lessons Learned from Nanbar Health: Developing a Multi-System Software Suite for Predictive Algorithms and Remote Monitoring for People Living with Sickle Cell Disease

Background: Sickle cell disease (SCD) is a genetic disorder that alters the shape of red blood cells, leading to significant complications and requiring highly complex care. Efforts often focus on prevention and early diagnosis of pain to improve outcomes for those with SCD. Remote monitoring (RPM) and predictive algorithms has grown exponentially in the last decade as a support tool for managing chronic diseases like heart failure and diabetes. Implementing similar technology for SCD care could improve patient outcomes through early detection of complications and providing physicians with longitudinal data to support clinical decisions. Our team previously used mobile health (mHealth) as RPM in this population and developed a machine learning algorithm to predict pain scores with 86% accuracy. Here, we describe the development process for the Nanbar Health software alongside the lessons learned from its development. Objectives: Describe the methods necessary to build a comprehensive mHealth remote monitoring system (Nanbar Health) that facilitates SCD health management. Develop a set of lessons for other developers when building a remote monitoring software suite. Methods: Nanbar Health's development process has taken 2 years. First, our team reviewed feedback and “bug” reports from patients and providers of other mobile applications our team built at Duke University. Using the feedback collected an user-interface (UI) interface (mock-ups) was created for the Nanbar Health mobile app using Figma. These mock-ups were then shown to healthcare providers with expertise in caring for individuals with SCD for feedback. Upon approval of mock-ups, our team developed the mobile application using Swift and Apple HealthKit. The team also built a physician-facing dashboard using React, NodeJS, and Python. The backend software for this system utilized Docker containers mounted on AWS EC2 instances, a Parse server, MongoDB and PostgreSQL databases, and Nginx for deployment and load balancing. Next, the dashboard was reviewed by medical providers for feedback. The analytics portion of the dashboard processed data in Python backend scripts and interactive visualizations were built using the Plotly library in NodeJS. The analytics portion of the tool is currently being reviewed for feedback. Throughout the process of developing and piloting the Nanbar Health Software, our team identified several challenges. These challenges were collected into a comprehensive index named, “Lessons Learned”. Results: The lessons learned include: 1. Overall Gain user feedback and place yourself in the shoes of the user: At every step of your software's development ensure you are continuously getting feedback from your users. 2. Mobile Application Engagement is key to acquiring good data: Ensure your team uses a variety of methods methods to engage your users.No mobile app is one size fits all, but one app can customize to all: The development team should create re-usable, dynamic components wherever possible. 3. Provider Dashboard Testing to build: Developers should build a user interface that is easy to run and test as a “pseudo-user” while they are building it, making it easier for the developer to understand the user experience and build a user-friendly application.Building to test: Plan for beta testers from the beginning and ensure that they have access to continuously-updated and fake but realistic data. 4. Network Analysis Complex analytics are computationally demanding - Advanced analytical tools incur more complications when incorporated into a High-Usage SystemFor heavy data processing, go serverless - Isolating heavy data processing from the rest of the application saves tremendous time and money. 5. Research and Operations Don't cry over spilt code: Mistakes and bugs are part of the process when developing any software, and part of the research process.Lack of engagement is not a reason for disappointment, but rather an opportunity for growth and improvement: Our tool has continuously experienced changes and improvements to increase patient engagement. Conclusion: Our team was successfully able to create and deploy a SCD care-focused Nanbar Health. These tools show promise of improving care for people living with SCD through the usage of RPM and predictive models. Further research should be conducted to determine methods to increase user engagement, and maintain large predictive models in cloud-based systems.

Development of the Escalation of Therapy or Intervention (ETI) Calculator for Patients with Ulcerative Colitis Using ePROMs.

Digital collection of patient-reported outcome measures [PROMs] is largely unexplored as a basis for follow-up for patients with ulcerative colitis [UC]. Our aim was to develop a model to predict the likelihood of escalation of therapy or intervention at an outpatient appointment that may be used to rationalize follow-up. TrueColours-IBD is a web-based, real-time, remote monitoring software that allows longitudinal collection of ePROMs. Data for prediction modelling were derived from a Development Cohort, guided by the TRIPOD statement. Logistic regression modelling used ten candidate items to predict escalation of therapy or intervention. An Escalation of Therapy or Intervention [ETI] calculator was developed, and applied in a Validation Cohort at the same centre. The Development Cohort [n = 66] was recruited in 2016 and followed for 6 months [208 appointments]. From ten items, four significant predictors of ETI were identified: SCCAI, IBD Control-8, faecal calprotectin, and platelets. For practicality, a model with only SCCAI and IBD Control-8, both entered remotely by the patient, without the need for faecal calprotectin or blood tests was selected. Between 2018 and 2020, a Validation Cohort of 538 patients [1188 appointments] was examined. A 5% threshold on the ETI calculator correctly identified 343/388 [88%] escalations and 274/484 [57%] non-escalations. A calculator based on digital, patient-entered data on symptoms and quality of life can predict whether a patient with UC requires escalation of therapy or intervention at an outpatient appointment. This may be used to streamline outpatient appointments for patients with UC.

CI-452770-1 USE OF ARTIFICIAL INTELLIGENCE ALGORITHMS TO REDUCE TRANSMISSIONS IN IMPLANTABLE LOOP RECORDERS

Implantable loop recorders (ILRs) are frequently used for arrhythmia diagnosis and management. Remote monitoring (RM) facilitates earlier response to alerts. However, this has resulted in significant increase in clinic workloads due to growing alert burden. A large component of this excess workload has related to inaccuracies related to artefact or over-sensing. The use of artificial intelligence (AI) may help to reduce and streamline workflow. To assess the impact of the AccuRhythmTM in a large independent remote monitoring dataset to determine the impact on the number of transmissions and the how the implementation of AI has improved the burden of downloads from Medtronic LINQ II. The AccuRhythmTM AI algorithm applies deep learning algorithms to the LINQ II data addressing false alerts. For this study, the PaceMateTM RM system was utilized. This system is a partially automated, vendor-neutral RM software system. The system presents RM data acquired from all vendors in a standardized format and includes all RM alerts transmitted by CIED patients undergoing RM via PaceMate LiveTM. All patients, who transmitted at least one episode during the one-month period before (January 2022) and after (April 2022) implementation of the AccuRhythmTM AI algorithm were evaluated. We included 661 patients with a mean age of 64.9±15.4 years who transmitted in both January and April. There was a statistically significant reduction in alerts transmitted per patient from January (ranging from 0 to 63 alerts per patient; mean 1.4, median 0, IQR=1) compared to after activation of the AI algorithm in April (range 0 to 36 alerts per patient; mean 0.98, median 0, IRQ=1; p<0.001). (Figure) This represented a 20.4% reduction in alerts per patient with the AI algorithm. In addition to the reduction in alerts transmitted, there was also a significant reduction in the number of episodes per patient attached to each transmission from January (range 0 to 211 episodes per patient; mean 4.5, median 0, IQR=3) compared to April (range 0 to 110 episodes per patient; mean 3.9, median 0, IQR=1; p<0.001), (Figure) representing a 39.7% reduction in episodes per patient with the AI algorithm. The implantation of an AI algorithm for LINQ II devices, significantly reduced alert burden by 20% and episode burden by 40% in a large, unselected group of patients. The implementation of AI algorithms have an essential role in facilitating the reduction of clinic workloads due to RM.

THE CONTRIBUTION OF ECONOMIC INTELLIGENCE TO IMPROVING THE SERVICES PROVIDED BY THE ECONOMIC INSTITUTION «CASE STUDY OF SONELGAS»

In light of the developments that the world is witnessing and the development taking place at the level of research and communication technology, economic institutions are keen to keep pace with these developments by developing their information programs that aim to improve the cost-effectiveness of services provided to customers. Economic intelligence in improving the various services provided by the economic institution, and we focused in this study on the use of programs and means of remote control in the use and maintenance of electrical networks in the Sonelgaz institution, through the contribution of economic intelligence in the transmission and transformation of electrical energy. The remote control system represents a cost-effective solution for controlling and operating electrical networks. The use of this system allows real-time control of the main business. In addition, the flexibility of operation provided by the remote control system allows the operator to quickly make and implement the necessary decisions, hence the importance of remote monitoring and control hardware software that makes it possible to control the state of networks and work quickly by avoiding as much costly interventions as possible and thus improve services. The researcher concluded a set of result and recommendations, the most important of which is that economic intelligence is an essential mechanism in improving the quality of the various services provided by the economic institution and providing the necessary information in order to use it to make optimal decisions for the institution.

The HF-AF ENERGY Trial: Nicotinamide Riboside for the Treatment of Atrial Fibrillation in Heart Failure Patients

BackgroundThe presence of atrial fibrillation (AF) in heart failure (HF) patients with reduced ejection fraction is common and associated with an increased risk of stroke, hospitalization and mortality. Recent research findings indicate that a reduction in nicotinamide adenine dinucleotide (NAD+) levels results in mitochondrial dysfunction, DNA damage and consequently cardiomyocyte impairment in experimental and clinical HF and AF. The HF-AF ENERGY trial aims to investigate the cardioprotective effects of the NAD+ precursor nicotinamide riboside (NR) treatment in ischemic heart disease patients diagnosed with AF.Study designThe HF-AF ENERGY trial is a prospective intervention study. The study consists of a (retrospective) 4 months observation period and a 4 months intervention period. The cardioprotective effect of NR on AF burden is investigated by remote monitoring software of implantable cardiac defibrillators (ICDs), which enables continuous atrial rhythm monitoring detection. Cardiac dimension and function are examined by echocardiography. Laboratory blood analysis is performed to determine mitochondrial function markers and energy metabolism. All the study parameters are assessed at two fixed time points (pre- and post-treatment). Pre- and post-treatment outcomes are compared to determine the effects of NR treatment on AF burden, mitochondrial function markers and energy metabolism.ConclusionThe HF-AF ENERGY trial investigates the cardioprotective effects of NR on AF burden and whether NR normalizes blood-based mitochondrial function markers and energy metabolites of the NAD metabolome in ischemic heart disease patients diagnosed with AF. The study outcomes elucidate whether NAD+ metabolism can be used as a future therapy for HF patients with AF.

Use of a mobile application for remote monitoring of patients with chronic heart failure in clinical practice

The steady growth and prevalence of chronic heart failure (CHF) leads to an increase in mortality, repeated hospitalizations and disability of the population. More than half of rehospitalizations are due to poor adherence to therapy, the impossibility of timely observation by a doctor, and inadequate patient education in the basics of self-control and self-help during and after discharge. In order to improve the quality of life of patients with CHF, reduce the frequency of readmissions and mortality, it is necessary to create programs to optimize outpatient care with the possibility of monitoring clinical indicators and timely correction of therapy, which can be done using digital technologies — mHealth. The ubiquity of mobile phones and portable gadgets is thought to make the introduction of remote monitoring software more affordable and cost effective. Thus, the purpose of the review is to collect and analyze the available literature data on the use of mobile technology programs for non-invasive remote monitoring of patients with CHF. Thus, studies investigating the impact of remote monitoring on the course of CHF have included widely varying patient cohorts using dissimilar devices with different support packages. Of course, the heterogeneity of both the sample and the methods used led to the inconsistency of the data obtained, the inability to compare and evaluate the results in full. Along with this, the inability to directly compare different methods of remote monitoring of patients with CHF determines the impossibility of choosing the most effective of them, which, in turn, dictates the need for standardization of methods according to, including the healthcare system in each individual country. Overall, mHealth applications offer a potentially cost-effective solution with continued access to symptom monitoring, encouraging patient engagement in self-care and self-monitoring, and improved outcomes over standard practice. While there is considerable evidence for the effectiveness of remote monitoring programs, many areas of uncertainty remain, and mobile phone interventions require further careful evaluation. Although the available data is insufficient to confirm the impact of mobile phone monitoring, it is clear that the potential is enormous.

Employees’ right to data protection reflecting their activities in the internet

The COVID-19 pandemic has made working from home in Vietnam become popular than ever. With the development of digital technology, employees can now work from home without going to the workplace. In addition, employers can perform their management and supervision rights by using remote monitoring software such as ActivTrak or HubStaff. According to a survey by TechRepublic and ExpressVPN, 78% of 2000 users responded that they use software to track employee activities. The result raises the question of whether the employee's right to protect personal data has been put under the management of the employer? Within the scope of this article, the author focuses on analyzing one of the contents of Personal data, which is data that reflects employees' activities or history of internet activities. It should be noted that labour relations are built on both trust and material elements. Therefore, ensuring the development of a healthy labour relationship will create a driving force for the development of the economy. Along with the global integration trend, this is likely to be an essential issue in the labour relationship because workers are more aware of the protection of data reflecting activities on the internet while performing their assigned tasks. In the context that Vietnam is increasingly integrating into globalization and gradually adapting to the 4.0 economy, the author believes that the right to data protection reflecting employee activities on the internet needs to be not only specifically recognized in the labour law but also gone along with the right to manage and supervise the use of the internet of the employer.

Remote monitoring system design of power substation based on GPRS

This paper studies the design scheme of a substation remote monitoring system based on GPRS, and gives the solution about poor real-time and imperfect function of centralized substation monitoring system. The working principle diagram of the measurement and control device is introduced in detail, and the modules of analog acquisition and switching input are designed. The substation remote monitoring software based on GPRS communication is developed to realize the remote real-time monitoring of electrical and switching parameters and other functions, such as data query, fault early warning and energy efficiency analysis. The experimental results show that the system has the characteristics of real-time, multi-function and high reliability. It is of great significance to implement defensive maintenance, improve power supply quality, save energy and reduce consumption.

MONITORIZAREA DE LA DISTANTA A PRODUCTIEI DE ENERGIE SI A EFICIENTEI UNUI SISTEM FOTOVOLTAIC OFF-GRIDD

In remote locations where people are required to live, such as weather stations in mountain areas, astronomical observatories etc., it is necessary to provide electricity for the operation of equipment and for domestic needs. The optimal solution is the use of photovoltaic energy. Owners of solar systems can remotely monitor the operation of the photovoltaic plant via the Internet (LTE, LoRa). The operating parameters of the solar installation can be seen in real time or can be adjusted. The article presents theoretical aspects, the hardware structure of monitoring equipment and remote monitoring software, which allow the analysis of the production and efficiency of the photovoltaic (PV) installation.

Design and implementation of a smart metering infrastructure for low voltage microgrids

The distributed generation (DG) and the integration of renewable energy sources (RESs) have leveraged the improvement of the smart grid for a few decades. The smart home energy management systems (HEMSs) have also attracted attention in increasing the use of information and communication technologies in the context of smart grid applications. This paper proposes a smart metering infrastructure with DC and AC analog front ends (AFEs), wired and wireless communication interfaces, and remote monitoring software coded in Visual C#. The implemented metering device has been comprised of isolated measurement transducers for detecting the current and voltage rates of sources and various types of loads either in a microgrid or smart home application. The signal conditioning tier has been comprised of highly accurate and sensitive operational amplifiers, and signal processing has been accomplished by a PIC microcontroller which is capable to interface USB and ZigBee based wireless communication protocols. The processed measurement data have been transmitted with wireless communication, and a graphical user interface (GUI) software has been coded at the receiving end host computer. The measurement case studies have been experimentally performed in microgrid and HEMS infrastructures to validate the accuracy of the proposed smart metering device and software operated at the host computer.

Remote Monitoring and Fault Diagnosis of Ocean Current Energy Hydraulic Transmission and Control Power Generation System

The development of clean and environmentally friendly energy is necessary to address significant energy challenges, and abundant sea current energy, which plays a key role in the decarbonization of our energy systems and has attracted increasing attention among researchers. In the present study, a remote monitoring and diagnosis system was designed in accordance with the requirements of a 50 kW hydraulic transmission and control power generation system. Hardware selection and software function requirement analysis were then performed. The causes of system faults were analyzed, the output fault types of the improved model were determined, and effective monitoring parameters were selected. The accuracy of traditional spectra in diagnosing faults is poor; however, the generalization capability of support vector machines (SVM) is robust. Thus, an improved particle swarm algorithm optimized SVM fault diagnosis model for the hydraulic transmission control power generation system was proposed to rapidly and effectively determine the key parameters. Remote monitoring software for the hydraulic transmission and control power generation system was also developed. The results of remote monitoring and diagnostic tests showed that the software was able to satisfy the functional requirements of the hydraulic transmission control power generation remote monitoring system, and the operation effect was consistent with expectations. By comparing the test accuracy of different diagnostic models, the improved PSVM model has the highest test accuracy with a classification accuracy of 99.4% in the case of normal operation, accumulator failure, relief valve failure and motor failure. In addition, the proposed diagnostic method was effective, thereby ensuring safe and reliable operation of the hydraulic transmission control power generation system.

Computerization of designing of urban transport systems using a remote satellite monitoring software product

The design of transport systems within the framework of programs for the integrated development of urban infrastructure is a cascading model that includes the stages of the analysis of target functions; monitoring of transport infrastructure; forecast transport demand; modeling of development scenarios; development, performance evaluation and verification of investment projects. To reduce resource costs, designers use a variety of hardware and software systems, the degree of security of which, their inherent advantages and disadvantages were identified during a statistical survey of employees of road facilities. According to the results of the study, to automate the collection of traffic characteristics at the monitoring stage, a software product was developed and patented to interpret a static image of a satellite image from online resources into the dynamic characteristics of traffic flows (speed, density, composition and traffic intensity). The functional apparatus of the product is the multiparameter equations of the theory of traffic flows, taking into account transport and road conditions. Assessment of the cost and capabilities of the developed software in comparison with foreign counterparts showed the vitality of this product.

Remote monitoring software for induction soldering installation

In this article, a comparative analysis of the existing software was carried out, a description of the subject area of the developed system was given, existing software tools, such integrated development environments as Xcode, Xamarin, FireMonkey were analyzed. As a result of the work, software was developed that made it possible to obtain experiment data, edit and delete experiments, change the parameters of the installations leading to emergencies and lead to the installation of induction soldering automation systems remotely and internally in the existing information infrastructure.

The assessment of rapid palatal expansion using a remote monitoring software

ObjectiveDental Monitoring (DM) is a software system that allows orthodontists to remotely monitor a patient's treatment. This study evaluated the accuracy of DM software in assessing the achievement of treatment goals in patients undergoing rapid palatal expansion treatment and patient acceptance of DM. MethodsConsecutively treated patients undergoing rapid palatal expansion were invited to participate. Participants were trained to capture intraoral photos/videos using the DM app. Maxillary intermolar width (mm) and posterior crossbite correction measured by DM were compared with digital models and intraoral measurements. Patient acceptance of the DM app was evaluated with a survey. ResultsOf the 30 patients enrolled, 20 patients completed the study. DM accurately assessed the correction of posterior crossbite. There was no significant difference in intermolar width measurements obtained with DM, digital model, or intraoral examination. Overall, 71% of the participants found the DM app “easy” to work with and 43% of the patients preferred DM over a clinical visit. ConclusionIn-person evaluation of maxillary expansion with a Hyrax expander can be replaced with remote monitoring using the DM software, yet challenges associated with digital imaging hinder the use of this remote evaluation for some patients.

Remote navigation signal management and monitoring software development based on data collected from AIS and ENC

The Navigation signal management and monitoring requires a lot of information and needs continuous operation in order to assure the navigation safety, therefore, the signal need to monitoring and managing. To monitoring and managing the navigation signal and navigation control, there are several methods applied such as directly operation by workers, by sensor or by remote control through AIS. Based on the data collected from AIS and ENC, the research group has developed the remote navigation signal managing and monitoring software through the internet. This paper describes the process of the software design and development.

PROJEKTOVANJE MERNO-INFORMACIONOG SISTEMA ZA UDALJENA MERENJA ZASNOVANOG NA MIKROC I LABVIEW OKRUŽENJU

U ovom radu predstavljen je koncept merno-avizicionog sistema za udaljena merenja i akvi­ziciju parametara kvaliteta životne sredine i uslova radne sredine, kao i prateći softver za daljinski nadzor i uprav­ljanje, snimanje podataka i analizu rezultata. Sistem je baziran na mikrokontroleru iz PIC32 familije i senzorskih modula koji služe za merenje parametara okoline. Sistem je zamišljen tako da se lako može proširiti broj senzora koji komuniciraju sa centralnom jedinicom. Za kontrolu i prikupljanje informacija sa udaljene lokacije putem TCP/IP protokola razvijena je LabVIEW PC aplikacija (virtualni instrument).

N026 IBDoc® self-care/point-of-care calportectin test: Early value in a district general hospital inflammatory bowel disease service

Faecal Calprotectin samples at the trust are a current send away test. These can take 3–6 weeks to come back and while the value of the result is high even with these lead times; a faster result is desirable. Patients who may be having distressing symptoms and the trust can benefit. Initiating treatment quickly avoiding admission and the spiralling costs seen in IBD patients who are admitted to hospital.1 The test requires access to a smart phone by the patient, they need to download an App called IBDoc® and calibrate their camera. (i) The plan is to use the kit in two ways to maximise the benefits. (ii) As a point of care with the sample being collected by the patient and the test carried out by the IBD nurses. (iii) As a self-test. 18 tests were provided to trial and one of the nurses underwent face-to-face training, this took backed up with online support materials. The IBD Nurse found the training to be effective it took approximately 20 min’s of an IBD nurses time to carry out the test. The results were compared using the same stool sample to send away to the current provider. Of the tests, 15 were completed, discrepancies between results (Figures 1 and 2) have two likely reasons. Tests completed by IBD nurse. Tests completed by IBD nurse. Tests completed by patients. Tests completed by patients. First, the IBDoc® results are higher this is thought to be because of the freshness of samples. Individuality of calprotectin results was noted by one study2 not just between individuals but between samples taken at different times of day from the same person. Secondly, the assays used are different and a different result is expected because of this. Comparing the two has helped us understand the new results and will allow us to interpret future results effectively. A small survey of the patients was conducted seven patients that responded found the test easy to use and thought it had improved their access to treatment. The results in Figure 1 shows that at least one hospital admission was avoided, as a fast-track of treatment to Infliximab occurred. The IBDoc® adds value to patient care, it enhances the patient’s journey allowing quick treatment decision to be made saving at least 1 hospital admission during this small trial of the product. Patients reported that they felt their care was enhanced because of it. Using this test with remote monitoring software may save the need for face-to-face follow-up. 1. Ghosh N, Premchand P. A UK cost of care model for inflammatory bowel disease. BMJ, 2015;6:169–74. 2. Lasson A, Stotzer PO, Öhman L, et al. The intra-individual variability of faecal calprotectin: a prospective study in patients with active ulcerative colitis. J Crohn's Colitis, 2014;9:26–32.

Development of inline hydroelectric generation system from municipal water pipelines

It is a challenging work to ensure reliable power supply for the data monitoring and control devices of modern water supply networks in urban environment due to limited underground space and transportation restriction. In this study, a novel inline hydroelectric generating system (IHGS) was developed to harness the potential energy of the water flow onsite and provide power for data monitoring system of main water pipelines. Specifically, a drag-type turbine was designed for medium size pipelines and a lift-type turbine for large size pipelines, and a hybrid energy storage system which combine battery and supercapacitor was developed to store excess energy and stabilize power supply for the off-grid IHGS, and a control system with remote monitoring software was developed to manage the whole system. The main work presented in this paper includes theoretical study, computer simulation, prototype design, and experimental tests. The results demonstrate that this development can solve the power supply problem of the data monitoring systems, while there are still significant opportunities for further research such as cost-benefit analysis, long-term system monitoring and assessment.