Remote Monitoring Capabilities Research Articles

Singlemode-Multimode-Singlemode Optical Fiber Sensor for Accurate Blood Pressure Monitoring

A dual-channel single-mode-multi-mode-single-mode (SMS) fiber optic sensor encapsulated by polydimethylsiloxane (PDMS) was proposed for the first time, for the simultaneous monitoring of the brachial and radial arteries for accurate blood pressure prediction. With the help of the machine learning algorithm Support Vector Regression (SVR), the SMS fiber sensor can continuously and accurately monitor the systolic and diastolic blood pressure. Commercial sphygmomanometers are used to calibrate the accuracy of blood pressure measurement. Compared with the single-channel system, this system can extract more pulse wave features for blood pressure prediction, such as radial artery transit time (RPTT), brachial artery transit time (BPTT), and the transit time difference between the radial artery and the brachial artery (DBRPTT). The results show that the performance of dual-channel blood pressure monitoring is more accurate than that of single-channel blood pressure monitoring in terms of the absolute value of the correlation coefficient (R) and the average value of the difference between SBP and DBP. In addition, both the single-channel and dual-channel blood pressure monitoring are in line with the Association for the Advancement of Medical Devices (AAMI), but the average deviation (DM, 0.06 mmHg) and standard deviation (SD, 1.54 mmHg) of dual-channel blood pressure monitoring are more accurate. The blood pressure monitoring system has the characteristics of low cost, high sensitivity, non-invasive and capability for remote real time monitoring, which can provide effective solution for intelligent health monitoring in the era of artificial intelligence in the future.

Capability of guideline-conform remote atrial high rate episode monitoring with a single-chamber implantable defibrillator with atrial sensing

Abstract Funding Acknowledgements Type of funding sources: Private company. Main funding source(s): BIOTRONIK, Berlin, Germany Introduction Device-detected atrial high-rate episodes (AHRE) and their burden progression are associated with an increased risk for thromboembolic events in correlation with CHA2DS2-VASc score and AHRE burden. To allow timely initiation of anticoagulation therapy for the prevention of stroke, the European guidelines on atrial fibrillation (AF) recommend the monitoring of AHRE progression along pre-specified strata (6min…<1h, 1h…<24, ≥24h). We sought to assess the capability of a single-lead implantable cardioverter defibrillator (ICD), that is equipped with an atrial dipole for atrial sensing, to remotely detect and monitor AHRE burden progression in patients with standard indication to single-chamber ICD. Methods From the MATRIX (Management and Detection of Atrial Tachyarrhythmias in Patients Implanted With BIOTRONIK DX Systems) registry, we analyzed remotely transmitted, and electrogram (IEGM) AHREs in a subset of patients with remote transmissions and without history of long-standing AF at baseline. For each patient, we selected the first occurring episode per duration stratum and the first subsequent occurrence when progressing to a stratum of any longer duration. After episode adjudication by an independent electrophysiologist, we assessed the classification performance of the device (positive predictive value [PPV]) and analyzed AHRE onset and progression pathways. Results Of the MATRIX cohort, 1,746 patients matched the inclusions criteria (see table for patient characteristics) and 1,451 had no AF history. Of the 258 patients with AHREs (14.8%), 450 out of 465 evaluated episodes were correctly classified as AHRE. Reasons for misclassification were artifact (13) and R-wave oversensing (2). PPV was 96.8% (95% confidence interval 94.7%-98.2%). Grouped by stratum, PPV was 93.9%, 99.5% and 100% for 6min…<1h, 1h…<24 and ≥24h, respectively. Ninety six of 240 patients (40.0%) with a first episode according to the pre-specified strata were progressing to a stratum of longer duration and 9 patients (3.8%) had further progression (see Figure). In 119 out of 1,451 patients without AF history (8.2%), the device detected AHRE and 81 of them (4.6% of analysis set) had a mid to high risk for stroke and were not on anticoagulation therapy. In 121 out of 295 patients with known history of paroxysmal and persistent AF (41.0%), the arrhythmia was confirmed by the device. Discussion and Conclusion: The single-chamber ICD with atrial sensing capabilities correctly classified ≈97% of all adjudicated AHREs ≥6min. About 7% of patients had device-detected AHRE onset and/or progression and a mid to high stroke risk. These patients would potentially benefit the most from a guideline-conform AF monitoring strategy to timely initiate anticoagulation medication for stroke prevention.

Incentivizing clean water collection during rainfall to reduce disease in rural sub-Saharan Africa with weather dependent pricing

In much of rural sub-Saharan Africa, households tend to shift water collection during rainfall periods away from cleaner groundwater sources, which they often have to pay for, towards free alternative sources. This increases disease risk and decreases sustainability of service provision. New approaches are needed to incentivize households to maintain clean water use and mitigate this environmental health challenge. We propose a pricing mechanism for ‘water ATMs’ – now possible with their pre-payment and remote monitoring capabilities – derived from measured reductions in collection over rainfall periods. Appropriate price elasticity ranges (−0.5 to −1) and relative risk of diarrhoeal disease from this intervention (0.4 to 0.8) determined from the literature are used to estimate the cost per capita and cost per disability-adjusted life year (DALY) averted. These are estimated to be between US$5 and 50 per DALY averted in the scenarios studied here, which would compare favourably against other water quality interventions. Cost and value would depend on elasticity of demand and potential health gains across different communities. Considerations for implementation are discussed. The potential for accurate subsidy transfers to service providers is outlined, along with the added resilience to climate change.

Changes in cardiac implantable electronic device follow-up induced by the COVID-19 pandemic in 2020: report of a single-centre experience

The COVID-19 pandemic caused by SARS-CoV-2 has greatly modified outpatient follow-ups. The aim of this retrospective study was to evaluate the organizational modalities and clinical effects of rearrangements of pacemaker (PM) and implantable cardioverter-defibrillator (ICD) outpatient visits performed in our centers at Ravenna and Lugo Hospitals, Italy, during the pandemic outbreak in 2020. All scheduled in-person device follow-up visits in March-December 2020 have been considered. On the basis of documented past functioning of each device and of remote monitoring (RM) capabilities, in-person visits were either performed or postponed at variable times. The characteristics of the follow-ups and the device-related clinically relevant events were analyzed, the latter being further divided into serious malfunction and problems to be corrected by device reprogramming. Overall, 27% of in-person visits were postponed (n = 576) (36% of ICDs and 25% of PMs), peaking 62% in March-May 2020. RM compensated nearly all hold-ups in ICDs and just 63% of postponements in PMs. The postponement-caused delay between in-person visits was 5.6 ± 1.1 months for ICDs and 4.7 ± 1.2 months for PMs; in 24% of ICDs the time interval between in-person visits was ≥18 months. Clinically relevant events were 56 (18 [4.4%] in ICDs, 38 [2.1%] in PMs), with no deaths and 21 serious malfunctions (4 [1%] in ICDs, 15 [0.8%] in PMs). RM identified all ICD malfunctions, while it was not available in the affected PMs. In comparison with the year 2019, serious malfunctions increased, though the difference was not significant. Monthly RM transmissions increased by 2.3 fold. In our single-center experience during the COVID-19 pandemic, numerous in-person PM/ICD follow-up visits were postponed, and delays were well beyond the previously recommended time limits. However, device-related malfunctions did not increase, notably, when RM capabilities were used.

Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People

People with physical mobility disabilities experience limited ability to perform daily routine. Integration between home appliances and Internet of Thing (IoT) can be used to support these people. The technology allows tasks to be performed much more easily and enable access to applications and services that would be a challenge with existing digital user interfaces. However, the developed system that is commercially available is costly and equipped with highly specific interfaces which may require considerable technical competency to conduct system interfacing. The purpose of this study is to develop a low cost IOT system for voice-enabled lamp control by utilizing Google Assistant that is available in commercial Android based mobile devices, allowing user to operate lighting appliances without moving. Personal assistance using Google platform embedded with Arduino microcontroller, ESP8266-based NodeMCU development board and integrated Blynk application allow for remote monitoring capability. The system is remotely controlled from a tablet or smartphone to assist disabled people with restricted mobility, in particular those with lower limb disabilities. The system had been tested and demonstrated that the lamp control can be easily accessed by voice command that is then validated using voice pitch analyzer. Test result indicated that capability of the integrated voice control system is verified up to a maximum distance of 24.5 meter, making it a potential implementation in any customized smart home or room system for people with mobile disability.

AN AUTOMATED ENERGY BILL METERING SYSTEM BASED ON GSM TECHNOLOGY

The measurement of the energy consumed by residential and commercial buildings by utility provider is important in billing, control, and monitoring of the usage of energy. Traditional metering techniques used for the measurement of energy are not convenient and is prone to different forms of irregularities. These irregularities include meter failure, meter tampering, inaccuracies in billing due to human error, energy theft, and loss of revenue due to corruption, etc. This research study proposed the design and construction of a microcontroller-based electric energy metering system using the Global System for Mobile communication (GSM) network. This system provides a solution to the irregularities posed by the traditional metering technique by allowing the utility provider have access to remote monitoring capabilities, full control over consumer load, and remote power disconnection in the case of energy theft. Proteus simulation software was used to model the system hardware and the software was obtained by using embedded C programming and visual basic. It was observed that the system could remotely take accurate energy readings, provided full control over consumer loads and execute remote disconnection in case of energy theft. The system provides high performance and high accuracy in power monitoring and power management.
 

Spanish Pacemaker Registry. 18th Official Report of the Cardiac Pacing Section of the Spanish Society of Cardiology (2020)

Introduction and objectivesThis report describes the cardiac pacing activity performed in Spain in 2020, including the number and type of implanted devices, demographic and clinical factors, and data on remote monitoring. MethodsInformation consisted of the European Pacemaker Patient Card, data submitted to the cardiodispositivos.es online platform, the databases of participating centers, and supplier-reported data. ResultsA total of 14 662 procedures were registered from 102 hospitals, representing 39.2% of the estimated activity. The implantation rates of conventional and low-energy resynchronization pacemakers were 759 and 31 units per million population, respectively. In all, 520 leadless pacemakers were implanted, 70 with atrioventricular synchrony. The mean age at implantation was high (78.8 years), and the most frequent electrocardiographic change was atrioventricular block. There was a predominance of dual-chamber pacing mode but VVI/R single-chamber pacing was used in 19% of patients in sinus rhythm, depending on age and sex. Remote monitoring capability was present in 18.5% of implanted conventional pacemakers and 45.6% of low-energy resynchronization pacemakers, although registration in this system increased by 53% in 2020. ConclusionsIn 2020, in the context of the SARS-CoV-2 pandemic, the number of implanted conventional pacemakers decreased by 8% and cardiac resynchronization therapy by 4.6%. The number of leadless pacemakers increased by 16.5%. Sequential pacing was predominant, influenced by age and sex. Home monitoring played a fundamental role as a mode of follow-up in this SARS-CoV-2 pandemic year.

Registro Español de Marcapasos. XVIII Informe Oficial de la Sección de Estimulación Cardiaca de la Sociedad Española de Cardiología (2020)

Introduction and objectivesThis report describes the cardiac pacing activity performed in Spain in 2020, including the number and type of implanted devices, demographic and clinical factors, and data on remote monitoring. MethodsInformation consisted of the European Pacemaker Patient Card, data submitted to the cardiodispositivos.es online platform, the databases of participating centers, and supplier-reported data. ResultsA total of 14 662 procedures were registered from 102 hospitals, representing 39.2% of the estimated activity. The implantation rates of conventional and low-energy resynchronization pacemakers were 759 and 31 units per million population, respectively. In all, 520 leadless pacemakers were implanted, 70 with atrioventricular synchrony. The mean age at implantation was high (78.8 years), and the most frequent electrocardiographic change was atrioventricular block. There was a predominance of dual-chamber pacing mode but VVI/R single-chamber pacing was used in 19% of patients in sinus rhythm, depending on age and sex. Remote monitoring capability was present in 18.5% of implanted conventional pacemakers and 45.6% of low-energy resynchronization pacemakers, although registration in this system increased by 53% in 2020. ConclusionsIn 2020, in the context of the SARS-CoV-2 pandemic, the number of implanted conventional pacemakers decreased by 8% and cardiac resynchronization therapy by 4.6%. The number of leadless pacemakers increased by 16.5%. Sequential pacing was predominant, influenced by age and sex. Home monitoring played a fundamental role as a mode of follow-up in this SARS-CoV-2 pandemic year.Full English text available from:www.revespcardiol.org/en

The ever-changing field of mechanical circulatory support: new challenges at the advent of the 'single device era'.

The ever-changing field of mechanical circulatory support: new challenges at the advent of the 'single device era'.

Outpatient Initiation of Sotalol in Patients with Atrial Fibrillation: Utility of Cardiac Implantable Electronic Devices for Therapy Monitoring.

BackgroundAntiarrhythmic drugs are often used in the management of patients with atrial fibrillation (AF). Sotalol is conventionally initiated in the inpatient setting for monitoring efficacy and adverse effects, including QTc interval prolongation and torsades de pointes (TdP) proarrhythmia.ObjectiveWe aimed to evaluate the efficacy and safety of outpatient initiation of sotalol for the treatment of AF in a select group of patients with cardiac implantable electronic devices (CIEDs): permanent pacemakers (PPMs), implantable cardioverter defibrillators (ICDs), and implantable loop recorders (ILRs) capable of continuous rhythm monitoring remotely.MethodsWe conducted our clinical study in a real-world practice setting with longitudinal follow-up of the study cohort. We included adult patients with symptomatic paroxysmal and persistent AF eligible for sotalol for rhythm control strategy and who had CIEDs in our study. Patients with a known contraindication to sotalol were excluded. After making a shared management decision with patients, sotalol was initiated as an outpatient, with regular clinical encounters with patients to assess the efficacy and safety of treatment, and monitoring cardiac rhythm and QTc intervals with CIEDs utilizing their remote monitoring platforms.ResultsThe study cohort comprised 105 patients; 38 (36%) females, mean age ± standard deviation (SD) 73.9 ± 10.36 years, and with a CHA2DS2-VASc score of 3.26 ± 1.37 and left ventricular ejection fraction of 60.16 ± 9.10%. Twenty-six (24.8%) patients were implanted with PPMs, 10 (9.5%) with dual-chamber ICDs, and 69 (65.7%) with ILRs. Over a follow-up period of 23 ± 15 months, sotalol was continued at a steady median dose of 80 mg twice daily, 105 ± 42 mg (mean ± SD) in 77 (73%) patients who maintained sinus rhythm, and discontinued in 28 (27%) patients because of inefficacy or development of adverse effects. No adverse effects relating to QTc prolongation and TdP or mortality were observed during the study period.ConclusionsEffective and safe outpatient initiation and maintenance of sotalol therapy is possible in select patients who have CIEDs for continuous remote monitoring and surveillance capabilities.

An integrated system of mobile application and IoT solution for pond monitoring

The current progress of information and communication technology has been critical to the development of the Internet of Things (IoT) in a aquaculture system. IoT solution in this system utilizes interconnectivity between devices to obtain fish pond monitoring data from sensing devices and then transmit the data to a remote server to be analyzed for decision-making in pond management. In this paper, we propose a smart pond IoT solution that provides a continuous and real-time pond monitoring. The system principally embeds five sensors that measure critical environmental parameters to determine water quality: temperature, pH, dissolved oxygen (DO), total dissolved solids (TDS), and salinity. The IoT solution also integrates the development of a mobile application on the android platform that allows remote monitoring capabilities for users to maintain efficient pond management. The application is designed with a friendly-user interface that helps the farmer to monitor sensor measurements, manage fish production cycle, record fish feeding schedule, and also monitor the health status of fish from multiple ponds.

16 Ch × 200 GHz DWDM-Passive Optical Fiber Sensor Network Based on a Power Measurement Method for Water-Level Monitoring of the Spent Fuel Pool in a Nuclear Power Plant.

This paper presents a remote 16 Ch × 200 GHz dense wavelength division multiplexing (DWDM)-passive optical fiber sensor (OFS) network. We particularly investigate the remote water-level monitoring capability of the OFS network based on an optical power measurement that features simplicity and a fast processing speed. The OFS network utilizes a seeded amplified spontaneous emission (ASE) light that is spectrum-sliced and distributed by an arrayed waveguide grating (AWG) towards multiple sensing units (SU), where each SU is installed at a different height in the water pool. Then, each SU reflects either of the two different optical powers according to the medium (air vs. water) back to the monitoring station. Therefore, the total received optical power at the monitoring station linearly changes according to the water level. We can simply recognize the water level by utilizing the optical power meter (OPM) at the monitoring station rather than the optical spectrum analyzer (OSA), which is bulky and expensive and requires a relatively long processing time. Consequently, we can reduce the system complexity, processing time, and cost (both installation and maintenance). However, the OPM-based OFS network requires a new methodology to derive the water level from the measured optical power. Thus, we come up with the reference-to-power ratio () analysis, which can be used for the maximum distance analysis as well as water level recognition. Based on the new reception architecture supported by the new post-processing scheme, the OFS network can distinguish 17 different water levels of the SFP at the monitoring station, which is >40 km away from the SFP, without using any active devices (such as optical amplifiers) at the remote places.

853-P: Comparing Telemedicine with Conventional Diabetes Care in Assessing Long-Term Outcomes in 451 Patients over 15 Years

Pros and cons of telemedicine (TM) in diabetes have been debated during Covid-19. Diabetes Tele Management System (DTMS®) which include a disease specific EMR, customized targets integrated with remote monitoring capabilities supported 24/7 by a multidisciplinary team has been actively delivering patient care for more than 2 decades. We assessed long-term outcomes in patients adhering to DTMS® for 15 ± 3 years(y) [Treatment group(TG)] compared with those on conventional care[Control Group (CG)]. Patients having a Virtual Consultation(VC) ≥ 1 in 3 months, Physical Visit(PV) ≥ 1 in 3y, and attended group diabetes education ≥ 1 in 3y were included.T2D (n=451, age 62.91 ± 11.64 y, avg. duration of diabetes 8.41 ± 2.78 at baseline) were deidentified and their clinical characteristics were extracted from EMR. DTSQ and Eq-5D were administered to capture treatment satisfaction and QoL respectively. TG demonstrated sustained improvements and maintenance of glycemic and non-glycemic parameters over 15y. Subjects expressed significant level of satisfaction with TM(Table). Judicious use of TM with customized frequency for virtual consultations, counselling and coaching significantly averts the long term complications of diabetes and is superior to conventional care. Nonetheless connectivity issues and economic loss to hospital are among the foremost challenges observed with TM.View largeDownload slideView largeDownload slide DisclosureJ. Kesavadev: None. J. Ajith: None. S. Jothydev: None. A. Shankar: None. G. Krishnan: None. A. David: None. G. Sanal: None. K. Jothydev: None. G. B. Chandran: None. A. Basanth: None. S. T. s. : None.

Deduction of Artificial Intelligence Calculation Theory in Electrical Engineering Automation

In order to overcome the shortcomings of manual on-site confirmation of switch position status in smart substations, realize automatic identification of circuit breaker and isolating switch positions, and improve the remote monitoring capability of switchgear in substations, the paper designs and studies a set of remote substations based on bilateral filtering dissipation algorithm Switch equipment state image recognition system. The system takes SIFT, image gravy method, binary method, Hough transform and other theoretical algorithms as the core, and uses high-speed DSP chip as the platform to divide and combine the switch images collected by the CCD camera. Status identification, and then upload the monitoring picture to the remote monitoring room via Ethernet. Invested in experimental research and found that the identification system is accurate and fast to distinguish the switch status, which can greatly improve the safety and efficiency of switchgear monitoring, and has a high promotion value.

4-Channel Concrete Temperature Data Acquisition System Using GPRS data Network

Objectives: To design a non-destructive, low-effort, low-cost device that can estimate the early age and compressive strength of in-place concrete in real time. The maturity protocol eliminates the need for on-site concrete cylinder break checks or hammer tapping test saving time and resources. Methods: Four different temperature sensors were used to measure the temperature of concrete in order to improve the system’s accuracy. As concrete structure monitoring with temperature sensors is a continuous process, the study includes automated data logging at regular intervals, storage of measured temperature data over time on an attached SD card, and transmission to a server through the SIM800L’s GPRS capability. Findings: The current work presents a low-cost (31 USD), low-powered (3.7v/2.8A), and portable temperature sensor and logger that will track and record temperature values so that values can be monitored remotely from anywhere on the planet. Data can be managed and tracked from any location and on any computer that has internet access. Communication between presented units with MQTT platform has been studied. Novelty/Applications: This device is a simple batteryoperated, small-size, compact, low-power data acquisition system with multiple sensors. With the support of GPRS, data can be sent to a server. Concrete testing delays are no longer a concern. It is possible to check the status of pour and receive updates anytime, wherever, on any computer with this method’s real-time data and 24/7 remote monitoring capabilities. This simple,trouble-free module is completely integrated and needs no wires or testing laboratories, allowing for quick onsite decisions and preventing unnecessary setbacks. Keywords: GPRS; DS18B20; ESP8266; MQTT (Message Queuing Telemetry Transport)

Validating and implementing cardiac telemetry for continuous QTc monitoring: A novel approach to increase healthcare personnel safety during the COVID-19 pandemic

BackgroundMinimizing direct patient contact among healthcare personnel is crucial for mitigating infectious risk during the coronavirus disease 2019 (COVID-19) pandemic. The use of remote cardiac telemetry as an alternative to 12‑lead electrocardiography (ECG) for continuous QTc monitoring may facilitate this strategy, but its application has not yet been validated or implemented. MethodsIn the validation component of this two-part prospective cohort study, a total of 65 hospitalized patients with simultaneous ECG and telemetry were identified. QTc obtained via remote telemetry as measured by 3 independent, blinded operators were compared with ECG as assessed by 2 board-certified electrophysiologists as the gold-standard. Pearson correlation coefficients were calculated to measure the strength of linear correlation between the two methods. In a separate cohort comprised of 68 COVID-19 patients treated with combined hydroxychloroquine and azithromycin, telemetry-based QTc values were compared at serial time points after medication administration using Friedman rank-sum test of repeated measures. ResultsTelemetry-based QTc measurements highly correlated with QTc values derived from ECG, with correlation coefficients of 0.74, 0.79, 0.85 (individual operators), and 0.84 (mean of all operators). Among the COVID-19 cohort, treatment led to a median QTc increase of 15 milliseconds between baseline and following the 9th dose (p = 0.002), with 8 (12%) patients exhibiting an increase in QTc ≥ 60 milliseconds and 4 (6%) developing QTc ≥ 500 milliseconds. ConclusionsCardiac telemetry is a validated clinical tool for QTc monitoring that may serve an expanding role during the COVID-19 pandemic strengthened by its remote and continuous monitoring capability and ubiquitous presence throughout hospitals.

Evaluation of a LoRa Mesh Network for Smart Metering in Rural Locations

Accompanying the advancement on the Internet of Things (IoT), the concept of remote monitoring and control using IoT devices is becoming popular. Digital smart meters hold many advantages over traditional analog meters, and smart metering is one of application of IoT technology. It supports the conventional power system in adopting modern concepts like smart grids, block-chains, automation, etc. due to their remote load monitoring and control capabilities. However, in many applications, the traditional analog meters still are preferred over digital smart meters due to the high deployment and operating costs, and the unreliability of the smart meters. The primary reasons behind these issues are a lack of a reliable and affordable communication system, which can be addressed by the deployment of a dedicated network formed with a Low Power Wide Area (LPWA) platform like wireless radio standards (i.e., LoRa devices). This paper discusses LoRa technology and its implementation to solve the problems associated with smart metering, especially considering the rural energy system. A simulation-based study has been done to analyse the LoRa technology’s applicability in different architecture for smart metering purposes and to identify a cost-effective and reliable way to implement smart metering, especially in a rural microgrid (MG).

401 Amplitude-modulation of maternal electrocardiography and phonocardiography as a novel method for wireless non-invasive uterine monitoring

Uterine activity (UA) monitoring is an essential element of pregnancy management. The gold standard intrauterine pressure catheter (IUPC), is invasive and requires ruptured membranes. Conventional, external tocodynamometry (TOCO) is hampered by obesity, maternal movements, and belt positioning, with positive agreement rates (PA) as low as 54-73% and false detection rates (FDR) as high as 15-32%. We prospectively tested a novel algorithm that enables non-invasive and reliable detection of UA. A prospective, comparative, open label, multicenter study was conducted, in which 40 laboring women (≥32 weeks; BMI<50) were simultaneously monitored for 30-60 minutes with IUPC and INVU (Nuvo Group), a wireless device FDA-cleared for remote fetal and maternal heart rate monitoring. Ten subjects were monitored with TOCO as well. UA detection by INVU was based on the modulation of the maternal electrocardiographic and phonocardiographic signals. 3 blinded assessors marked the contractions for each modality. PA and FDR of INVU and TOCO compared to IUPC were calculated. Overall, INVU correctly identified 87.7% of the IUPC contractions. Sub-analysis based on BMI categories (normal: <25, overweight: 25-30, obese: ≥30) showed that UA detection was not affected by BMI (PA: 88.5%, 85.9% and 90.0%, respectively; p=0.42). Overall, INVU FDR was 15.2%. In the subset of sessions recorded with TOCO, TOCO PA and FDR were 46% and 7.1% respectively. UA monitoring via INVU is accurate and reliable, even in obese women, and more precise than TOCO. There is a pressing need for telehealth solutions in pregnancy monitoring, underscored by the current COVID-19 pandemic. INVU (Nuvo Group) is a self-administered device, FDA-cleared for wireless, remote monitoring of fetal and maternal heart rate. This novel method for UA detection via INVU expands its remote pregnancy monitoring capabilities to include surveillance such as non-stress tests, which would be of great benefit to women and providers seeking telehealth solutions for high risk pregnancy care.

76. “It Just Causes us to Communicate More”: A Qualitative Exploration of Parent and Youth Perspectives on Remote Glucose Monitoring in Youth With Type 1 Diabetes

Continuous glucose monitoring (CGM), which continually measures blood glucose via subcutaneous electrodes, improves glycemic control in youth with type 1 diabetes (T1D). Technological advancements have brought about remote monitoring (RM) capabilities, which allow CGM devices to alert caregivers to changes in blood glucose via a mobile phone app. Whereas RM has been touted as beneficial, questions remain about the implications during adolescence. Understanding youth and parent experiences with RM may help clinicians and families harness the technology’s benefits without infringing upon youth’s developmental need for independence. Accordingly, the purpose of this study was to explore parent and youth perspectives on RM.

An Intuitive Remote Monitoring Framework for Water Quality in Fish Pond using Cloud Computing

Accuracy in prediction of water quality is a recent research domain gaining popularity in smart aquaculture. In aquaculture, the modifications in water quality parameters possess nonlinearity, dynamicity, unstableness and complexity due to the open environment with its surroundings. Conventional prediction methods have several disadvantages like poor generalization, lower accuracy and high time complexity. By considering these issues, a Novel water quality prediction method interfaced with (IoT)Internet of Things termed as Low-Cost Real-Time Monitoring System (LCRTMS) is proposed to predict water temperature, pH, DO, and Ammonia. Multi-sensors and Blynk private cloud integrated framework are used for collecting data in real-time and enhancing the remote monitoring capabilities. Experimental results indicate that the accuracy in predicting temperature, DO, pH and ammonia can attain 98.56% in 0.257 seconds and 98.97% in 0.301seconds in the short-term prediction.