Remote Temperature Monitoring Research Articles

Design of Remote Monitoring Iot System Based on 5G and New Optical Fiber Intelligent Structure

In recent years, with the progress and development of social science and technology, remote monitoring of Internet of Things systems has attracted more and more attention. The remote monitoring system is mainly a network system with convenient layout, simple maintenance, and high security performance built on the basis of the wireless network, which can realize real-time monitoring, and collects transmit information. It is mostly used in remote monitoring of room temperature, remote monitoring of intelligent furniture, engineering construction, and teaching. Communication technology dominates the operation of remote monitoring systems. With the introduction of 5G technology, mobile Internet technology has been pushed to the top of technology again. Using 5G mobile communication technology in the monitoring system, people can observe or operate the monitored things at any time. The sensor is an indispensable component of the remote monitoring system, and a new type of optical fiber is added to the sensor to make the system function more complete. However, the related technology is not very mature, and the research on remote monitoring system is relatively backward in China. Relevant studies have found that when the remaining energy of the information node in the remote monitoring system reaches 10%, the information node will die and the speed of information transmission will decrease. Therefore, adding new technologies is conducive to improving the performance of remote monitoring systems.

High Throughput In–Situ Temperature Sensor Array with High Sensitivity and Excellent Linearity for Wireless Body Temperature Monitoring

High sensitivity, excellent linearity, and wireless monitoring are strongly desired for the practical application of flexible temperature sensors in real‐time wearable health care. Especially the multichannel body temperature monitoring system has high requirements on the performance of the sensor because it needs to monitor a large amount of data at the same time. Herein, a flexible temperature sensor based on a porous graphene/polydimethylsiloxane sensing layer is developed. The prepared sensor exhibits high sensitivity of 5.203% °C−1 for temperature sensing between 30 and 70 °C, and excellent linearity (R2 = 0.996) in the temperature range from 30 to 70 °C. Based on its excellent performance, the proposed high‐performance temperature sensors can be applied in practical applications such as body temperature monitoring and human breath monitoring under different states including slow breath, normal breath, and fast breath. Moreover, a high‐throughput wireless body temperature monitoring system including wireless sensor modules, a cloud server, and a portable electronic device is constructed, which can achieve a remote and multichannel body temperature monitoring efficiently.

Highly-efficient double perovskite Mn4+-activated Gd2ZnTiO6 phosphors: A bifunctional optical sensing platform for luminescence thermometry and manometry

Remote temperature and pressure monitoring provides new and exciting chances to explore the variation of luminescence properties of compounds under extreme conditions. Herein, series of Mn4+-activated, double perovskite Gd2ZnTiO6 phosphors were prepared to develop novel, bifunctional sensors of temperature and pressure. Upon 345 nm excitation, bright red emission originating from Mn4+ is generated, and its intensity is affected by doping content, where the optimal intensity is achieved at 0.3 mol% of Mn4+ doping. The determined concentration quenching mechanism is mainly governed by a dipole–dipole interaction. The internal and external quantum efficiencies of the synthesized phosphors are as high as 95.6% and 83.2%, respectively. Besides, the crystal-field strength and nephelauxetic effect are theoretically discussed to identify their impacts on the emission characteristics of Mn4+. Furthermore, via analysing the temperature-dependent emission bandwidth and lifetime, the thermometric properties of the resultant phosphors are explored, and the maximum relative thermal sensitivities for the Gd2ZnTiO6:Mn4+ phosphor with optimal doping are 0.34% and 2.43% K−1 at 423 K, respectively. Additionally, the influence of pressure on the luminescence performance of the studied phosphors is investigated. When pressure increases, a significant red-shift of the emission band is observed, showing the pressure sensitivity is as high as 1.11 nm/GPa. Notably, during the compression and decompression processes, the prepared phosphors possess stable phase structure, which is confirmed by the pressure-dependent Raman spectra. These results suggest that the highly-efficient double perovskite Mn4+-activated Gd2ZnTiO6 phosphors are promising bifunctional luminescent platforms, for both luminescence thermometry and manometry applications.

Internet of Things enabled real time cold chain monitoring in a container port

Abstract Purpose Seaports are regarded as significant actors in global logistics and supply chains since a large part of the cargoes carried over the globe are being processed there. When the cold chain broken down during transport and storage in the ports, the humidity, nutrition, temperature and time conditions to be required for the growth of the bacteria occur, and rapid reproduction occurs and the properties of the products are rapidly deteriorating. It is imperative that especially medicines, some chemical substances and foodstuffs need to be transported without breaking the cold chain in the logistics. The monitoring and control of the temperature and humidity level is important in the time period between the loading of these containers in special areas in ports, the loading of freight in open areas, or the loading of freight on roads and railway carriages. For this reason, precise monitoring and control of the system is vital in the port logistics management. Method In this study, an IoT-enabled system is designed for Container Ports by developing software, interface and equipment that will enable remote monitoring of temperature, humidity and other necessary key status parameters. Findings The developed IoT-based system provides audible and visual warning, e-mail and SMS communication, similar to a monitoring screen such as a heart graph monitor, when the instant values of the refrigerated container are transmitted to the database, when the defined upper and lower values are approached. All these data and major change information are archived in the database and retrospective situation analysis and data analysis can be performed. Conclusion Using technologies such as Wireless Sensor Network (WSN) and RFID, an IoT-enabled Cold Chain Logistics system has been proposed that provides real-time monitoring of products in containers at ports, providing DS services to logistics providers and customers. In this context, it was explained how the ambient parameter values were collected in real time using WSN and IEEE 802.15.4, how the collected data was sent to the server via the GSM gateway. In the port scenario, activation devices such as IEEE 802.15.4 and RFID were modeled using the OPNET simulator. The developed model was carried out in accordance with the principles of EPCglobal Gen 2. With the proposed approach, smart solutions provide a smarter flow of information. The results show that IoT- enabled cold chain systems have a great potential for managing, monitoring, receiving and determining abnormal events related to temperature-sensitive products in real time.

An Evaluation of Real-world Smart Sock-Based Temperature Monitoring Data as a Physiological Indicator of Early Diabetic Foot Injury: Case-Control Study.

BackgroundLower extremity complications of diabetes represent major health care complications both in terms of cost and impact to quality of life for patients with diabetic peripheral neuropathy. Temperature monitoring has been shown in previous studies to provide a useful signal of inflammation that may indicate the early presence of a foot injury.ObjectiveIn this study, we evaluated the temperature data for patients that presented with a diabetic foot injury while using a sock-based remote temperature monitoring device.MethodsThe study abstracted data from patients who were enrolled in a remote temperature monitoring program (2020-2021) using a smart sock (Siren Care). In the study cohort, a total of 5 participants with a diabetes-related lower extremity injury during the study period were identified. In the second comparison cohort, a total of 26 patients met the criteria for monitoring by the same methods but did not present with a diabetes-related podiatric lower extremity injury during the same period. The 15-day temperature differential between 6 defined locations on each foot was the primary outcome measure among subjects who presented with a diagnosed foot injury. Paired t tests were used to compare the differences between the two groups.ResultsA significant difference in temperature differential (temperature measured in °F) was observed in the group that presented with a podiatric injury over the course of evaluation versus the comparator group that did not present with a podiatric injury. The average difference from all 6 measured points was 1.4 °F between the injury group (mean 3.6, SD 3.0) and the comparator group (mean 2.2, SD 2.5, t=–71.4, df=39; P<.001).ConclusionsThe results of this study suggest temperature monitoring in a sock form factor could be used to predict a developing foot injury. The continuous temperature monitoring system employed has implications for further algorithm development to enable early detection. The study was limited by a nonrandomized, observational design with limited injuries present in the study period. We look forward to further studies that will refine the predictive potential and confirm or refute the current promising data.

IDF21-0234 The Virtual COVID In-patient (VCIP) Care and Post Covid Symptoms: a Comparison with Conventional Care

Background: VCIP is a home based interventional economic model wherein a consenting patient will remain in their home and consult the VCIP team via audio-video consultations to treat COVID-19 in a manner similar to inpatient care. While the widely prevalent home-based care that is currently available is often limited to monitoring of vital signs, the VCIP program described here involves active therapeutic intervention. Aim: We assessed the impact of VCIP in the management of COVID and post COVID symptoms. Method: Since September 2020, our center has been practicing VCIP for our patients with diabetes, already enrolled in our hospital, to treat COVID and Post COVID symptoms. This is a retrospective analysis of the data of 243 COVID-19 positive patients who enrolled in VCIP. A 24/7 dedicated WhatsApp group of patients, their relatives, doctors, nurses, dietitian and a psychologist was created for remote monitoring of temperature, blood pressure, blood glucose, respiratory and pulse rate along with the symptoms and then to follow up them for 4-6 months post-COVID. The vital parameters and general wellbeing of patients are monitored once every 4 hrs. Contrary to conventional domiciliary care, in VCIP, lab investigations, corticosteroids and other interventions were carried out as and when necessary, at home for the successful management of COVID-19. For patients with diabetes on insulin, the dosages were titrated based on SMBG values or real time CGM. We also assessed the post-COVID symptoms in these patients. Results: Out of 243 patients who availed of the VCIP facility, all 243 of them recovered. However, 2 hospitalizations were there, one, due to the impending fear of death and the other one, due to intolerance to oral corticosteroids, yielding a 99.5% success rate in preventing hospitalization. There was a wide range of post-COVID-19 symptoms and illnesses experienced by <10% of the patients, which was very low compared to patients in conventional care, including headache(5%), generalized itching(7%), fatigue(20%), vertigo(<1%), urticaria(<1%), exacerbation of sinusitis(<1%), insomnia(15%), and bacterial infection(30%). The patients recovered from these symptoms within 2-3 months. Some patients who experienced more severe complications such as atrial fibrillation and ventricular ectopics (<1%) picked up in Apple watch ECG was referred to a cardiologist for evaluation. The arrhythmias disappeared spontaneously with clinical improvement in the majority of the patients. Discussion: VCIP when compared to hospitalizations have proven to be cost effective, with significantly better immediate outcomes. With regular and structured teleconsultations and lab assessments, patients likely to deteriorate are identified quite early and treatment initiated without wasting any time. The comorbidities were also aggressively managed. The significantly less occurrence of post Covid symptoms in the VCIP group compared to hospitalized patients could have resulted from these early interventions.

Utilization of a Smart Sock for the Remote Monitoring of Patients With Peripheral Neuropathy: Cross-sectional Study of a Real-world Registry.

BackgroundRemote patient monitoring (RPM) devices are increasingly being used in caring for patients to reduce risks of complications. Temperature monitoring specifically has been shown in previous studies to provide a useful signal of inflammation that may help prevent foot ulcers.ObjectiveIn this cross-sectional study, we evaluated utilization data for patients who were prescribed smart socks as remote temperature monitoring devices.MethodsThis study evaluated data from a patient registry from January to July 2021. The utilization data, which were collected starting from the first full month since patients were prescribed the smart socks, were evaluated along with retention over time, the average time that the socks were worn, and the number of days that the socks were worn per month and per week.ResultsA total of 160 patients wore the smart sock RPM device for 22 to 25 days per month on average. The retention rate was 91.9% (147/160) at the end of the 7-month period; a total of 13 patients were lost to follow-up during this period. The average number of days that the socks were worn per week was 5.8. The percentage of patients with a utilization rate of >15 days ranged from 79.7% (106/133) to 91.9% (125/136) each month.ConclusionsThis study shows a high level of utilization for a smart sock RPM device and a high compliance rate. A future prospective study on the clinical outcomes after the use of the smart socks may further solidify the idea of conducting temperature monitoring for foot ulcer prevention.

Sistem Pendeteksi Suhu Tubuh Jarak Jauh dengan MLX 90614dan NodeMCU untuk Mencegah Penularan Covid-19 Berbasis IoT

The health protocol has being an obligation in line with the implementation of Face-to-Face Learning in the school environment. Currently, the medical procedures are carried out by using a thermogun which able to detect human body temperature. The use of a thermogun is carried out by detecting the body temperature of students or visitors who entered the school environment. The used of the MLX 90614 Sensor and NodeMCU with the support of android technology, the temperature detection process can be carried out remotely based on the Internet of things. After several experiments, it was found that if the distance is more than 5cm, the temperature will not appear and the buzzer will sound two times. If the distance was less than 5cm the buzzer sounds one time and temperature data is obtained. The results will appear on the android screen, showed the temperature conditions and its distance. When the temperature exceeds 37.50C, the buzzer will sound two times and display a warning sign on Android that indicates the data at high temperatures (hot). During the experiment, there were network problems in the RTO state, so the data did not appear. RTO is a condition where data is not sent because there are obstacles in the internet network. In this research, it can be concluded that remote temperature monitoring with IOT can be done and is recommended because it will protect officers from the covid virus attack. For further research, it is recommended to add a face detector so that those with an indication of fever will have their faces photographed.

Arduino temperature monitoring solution for routers

An important element in communications systems is the router. The paper proposes a remote temperature monitoring system for it. This was implemented based on Arduino Uno development platform. In addition, an Android user-friendly interface has been created; it can be installed on a smart terminal (phone or tablet) and its role is to display the router temperature and to notify the user if it has exceeded a maximum set value. There are two methods of notifications: one is using different colors for the displayed temperatures and the other using an alert. The temperature is measured with a sensor and the data is then processed by the microcontroller and sent to the Bluetooth module using serial interface. Also, the measured values can be seen on an LCD display. The hardware, software designs and the simulation and experimental results of the proposed system are presented.

Validation of indwelling vaginal sensor to monitor body temperature in ewes

Remote-sensing technology facilitates longitudinal collection of body temperature during periods of hot or cold environmental stress without human interference, producing high-frequency measurements whilst reducing labour and stress to the animal. A pilot study was conducted to validate an improved, minimally invasive method for the continual measurement of vaginal temperature (VT) in female sheep. A silicon mould of a modified controlled internal drug release (CIDR) device (Zoetis Animal Health, Parsippany), was manufactured to securely house a temperature logger (Micro-T 16-bit; Star Oddi, Iceland) and allow direct contact at the collection site. These temperature-sensing CIDR devices were validated against manual rectal temperature (RT) measurements collected from 15 mature, non-pregnant, non-lactating Merino ewes. Rectal temperature was measured from each individual, six times per day in 2-h intervals for 14 consecutive days. The simultaneous measures of VT and RT did not differ significantly within each ewe (P > 0.05) and demonstrated a moderate linear relationship (R2 = 0.62, P < 0.05). The mean (± SEM) difference between RT and VT was small (0.010 ± 0.004 °C), with a 95% confidence interval of − 0.26 to 0.29 °C. Additionally, the coefficient of variation was lower on average for VT (0.49%) compared to RT (0.59%). Differences among paired readings were likely due to interval variation as well as penetration depth, air influx and faecal temperature when collecting RT. The initial silicone manufacturing costs were high (2200 AUD), with each unit costing 1.25 (AUD) thereafter; however, the temperature-sensing CIDR device was an effective and efficient research tool for the remote monitoring of body temperature. While further validation of these devices within extensive grazing environments is warranted, the collection and analysis of longitudinal physiological data from ewes has the potential to improve a variety of management aspects related to extensively grazed ewes maintained and joined in harsh conditions.

Thermal ecology of Northern Water Snakes (Nerodia sipedon) in a northern wetland in central Michigan

Semi-aquatic north-temperate reptiles experience challenging environmental conditions for thermoregulation on both seasonal and daily bases. We studied the thermal biology of north-temperate Northern Water Snakes (Nerodia sipedon) in central Michigan by remote radiotelemetry monitoring of snake body temperature (Tb) using surgically implanted thermally-sensitive radio-transmitters and by measuring operative temperatures (Te) across a range of microhabitats using biophysical models. Our goals included evaluation of thermoregulatory capabilities at a locality that we viewed to be a fine-grained thermal environment, seasonal variations in patterns of thermoregulation, and the effects of sex on thermoregulation. During summer, snakes showed diel Tb cycling apparently using the open Sphagnum mat for late morning warming and shuttling among different microhabitats until early evening when a monotonic decline in Tb ensued and continued through the early morning hours. Snakes attained Tb within their laboratory-determined preferred body temperature range (Tset = 28–33 °C) mostly during late afternoon and with average percentages of Tb values for individual snakes within Tset range when permitted by operative temperatures (Ex) between 68 and 70% of the time depending on method of measurement. Relatively high investment in thermoregulation when thermal conditions were poor occurred only during September but declined thereafter as snakes prepared to overwinter. We did not detect differences in thermoregulation among reproductive females, non-reproductive females, and males. Relative to a population of N. sipedon at a higher latitude in Ontario our snakes showed a relatively high Tset range and thermoregulated more effectively, particularly during the daylight hours. It remains unclear how much inter-population variation in thermoregulation is due to potential adaptations to latitude, to habitat differences, or variations in methodologies.

“HEALTHCARE 2021”

The International Forum "Healthcare 2021" was held in the Year of Science and Technology. More than 450 companies from 20 countries demonstrated their products. Modern medical equipment of the highest level was presented: X-ray machines, computed tomographs, ultrasound diagnostic devices, endoscopes, cardiographs, remote temperature monitoring devices, medical instruments and much more. The business program was devoted to the problems of today in medicine and the wider involvement of young scientists and students of medical universities in their solution.

Reliable and Remote Monitoring of Absolute Temperature during Liver Inflammation via Luminescence-Lifetime-Based Nanothermometry.

Temperature of tissues and organs is one of the first parameters affected by physiological and pathological processes, such as metabolic activity, acute trauma, or infection-induced inflammation. Therefore, the onset and development of these processes can be detected by monitoring deviations from basal temperature. To accomplish this, minimally invasive, reliable, and accurate measurement of the absolute temperature of internal organs is required. Luminescence nanothermometry is the ideal technology for meeting these requirements. Although this technique has lately undergone remarkable developments, its reliability is being questioned due to spectral distortions caused by biological tissues. In this work, how the use of bright Ag2 S nanoparticles featuring temperature-dependent fluorescence lifetime enables reliable and accurate measurement of the absolute temperature of the liver in mice subjected to lipopolysaccharide-induced inflammation is demonstrated. Beyond the remarkable thermal sensitivity (≈ 3% °C-1 around 37 °C) and thermal resolution obtained (smaller than 0.3 °C), the results included in this work set a blueprint for the development of new diagnostic procedures based on the use of intracorporeal temperature as a physiological indicator.

On-Grid solar microgrid temperature monitoring and assessment in real time

Remote solar panel temperature monitoring in micro-grid has been proposed. A three-phase voltage source converter (VSC) type inverter has been employed for conditioning the input power from solar photovoltaic arrays. The three-phase inverter's output was linked to a transformer and a high-voltage grid bus before being distributed to different load ends. The inverter's output currents were recorded and evaluated. At typical operating circumstances, subharmonics, DC components, and Total Harmonic Distortion (THD) of inverter secondary currents were measured. Then, at various temperature levels, wavelet decomposition, i.e., skewness and kurtosis on line currents, was estimated. At various decomposition levels, detailed and approximate coefficients were produced, and their skewness and kurtosis values were used to examine the nature of these coefficients. Different modelling approaches have been used to extract distinct aspects for evaluating temperature impacts on solar panels and remote monitoring of microgrids.

Analisis Implementasi Temperature Screening Contactless berbasis Internet Of Things (IOT) Menggunakan Protokol Message Queue Telemetry Transport (MQTT)

Remote temperature monitoring is needed in hazardous area conditions or fast data retrieval is needed without being limited by distance. This condition can be overcome by monitoring and measuring the temperature from a remote location using internet technology that is currently developing, namely the Internet of things. There are many implementations of remote temperature monitoring systems, but the measurement results of these sensors sometimes have very significant differences even for measuring the temperature of the same object. This study aims to analyze the implementation of an effective and efficient remote temperature monitoring system. The temperature measurement process uses the LM35 and MLX 90614 sensors based on Internet of things technology using the Message Queue Telemetry Transport (MQTT) protocol. After obtaining the results of temperature measurements using different sensors, the measurement results are analyzed and compared with standard temperature measuring instruments to obtain an effective and efficient implementation. Based on the analysis, the results of temperature measurements using the MLX 90614 sensor are effective and efficient sensors.

Reliable and remote monitoring of absolute temperature during liver inflammation via luminescence lifetime-based nanothermometry

Reliable and remote monitoring of absolute temperature during liver inflammation via luminescence lifetime-based nanothermometry

Reliable and remote monitoring of absolute temperature during liver inflammation via luminescence lifetime-based nanothermometry

Reliable and remote monitoring of absolute temperature during liver inflammation via luminescence lifetime-based nanothermometry

Evaluation of reticulorumen temperature boluses for the diagnosis of subclinical cases of bovine respiratory disease in feedlot cattle.

Bovine respiratory disease (BRD) is the most important and costly health issue of the feedlot industry worldwide. Remote monitoring of reticulorumen temperature has been suggested as a potential tool to improve the diagnostic accuracy of BRD. The present study aimed to evaluate 1) the difference and degree of reticulorumen hyperthermia episodes between healthy and subclinical BRD feedlot steers, and 2) determine the correlation between reticulorumen hyperthermia and lung pathology, performance, and carcass traits. Mixed-breed feedlot steers (n = 148) with a mean arrival weight of 321 ± 3.34 kg were administered a reticulorumen bolus at feedlot entry and monitored for visual and audible signs of BRD until slaughter when lungs were examined and scored for lesions indicative of BRD. Post-slaughter animals with no record of BRD treatment were assigned to one of three case definitions. Healthy steers had no visual or audible signs of BRD (i.e., CIS=1), and total lung consolidation score < 5% or pleurisy score < 3 at slaughter. Subclinical BRD cases had a CIS of 1, and a lung consolidation score ≥ 5% or a pleurisy score of 3 at slaughter. Mild CIS cases had at least one CIS of 2, and a lung consolidation score < 5% and a pleurisy score < 3 at slaughter. Subclinical BRD and mild CIS cases had longer total duration of reticulorumen hyperthermia, more episodes and longer average episode duration above 40.0 °C compared to healthy steers (P < 0.05). A moderate positive correlation was found between lung consolidation and total duration (r = 0.27, P < 0.001), episode duration (r = 0.29, P < 0.001), and number of episodes (r = 0.20, P < 0.05). Pleurisy score was also found to be moderately and positively correlated with total duration (r = 0.23, P < 0.01), episode duration (r = 0.37, P < 0.001), and number of episodes (r = 0.26, P < 0.01). Moderate negative correlations were found between reticulorumen hyperthermia and carcass traits including hot standard carcass weight (HSCW) (-0.22 ≤ r ≤ -0.23, P < 0.05) and P8-fat depth (-0.18 ≤ r ≤ -0.32, P < 0.05). Subclinical BRD reduced carcass weight by 22 kg and average daily gain (ADG) by 0.44 kg/day compared to healthy steers (P < 0.05), but mild CIS cases had no effect on performance (P > 0.05). The reticulorumen bolus technology appears promising for detection of subclinical BRD cases in feedlot cattle as defined by lung pathology at slaughter.

Multiview Eye Localisation to Measure Cattle Body Temperature Based on Automated Thermal Image Processing and Computer Vision

Automatic and remote monitoring of body temperature through multi-view eye localisation could be very valuable to the cattle industry. Many studies have described that cattle's rising body temperature can be a sign of fever or local inflammation. Therefore, it would be beneficial for cattle producers to regularly measure cattle's body temperature to help identify at-risk cattle, make better informed management decisions, and maintain their mob's commercial value. However, under commercial conditions, it can be difficult to accurately measure the temperature of large mobs of cattle in these production environments. Traditionally, methods used to measure body temperature were invasive and time-consuming, and there has been a demand for an alternative method for body temperature measurement. Hence, automated processes can be used to measure cattle's body temperature efficiently and accurately, and it would be of great benefit to the cattle industry. The infrared Thermography Technique (IRT) has the capability to measure the body temperature of cattle by analysing an infrared thermal image of the eye region in real-time. IRT has played a vital role in the medical sector by developing automated systems for fever, infection detection, and musculoskeletal disorders. Most of the previously proposed eye localization methods used frontal position only in humans, and manual localisation in cattle. Our contributions include proposing thermal image processing for eye segmentation and a computer vision method for multi-view face detection in cattle. In the computer vision method, three classifiers were created for multi-view face detection, which uses Histogram Oriented Gradient (HOG) as features and Support vector machine (SVM) as the classifier. While in image processing, a new automated eye segmentation method based on thresholding techniques is proposed. Proposed methods work together in the indoor environment to localize the eye region of cattle by measuring temperature from different orientations, angles, and positions. The paper results showed that the proposed method has high accuracy, with the following average sensitivity of sensitivity 0.9780, precision 0.7212, F measure of 0.8024, and misclassification 0.0455.

Remote Diabetic Foot Temperature Monitoring for Early Detection of Diabetic Foot Ulcers: A Cost-Effectiveness Analysis.

BackgroundFoot temperature monitoring for the prevention and early detection of diabetic foot ulcers (DFU) is evidence-based and recommended in clinical practice. However, easy-to-use remote monitoring tools have been lacking, thereby preventing widespread adoption.ObjectiveTo evaluate the cost-effectiveness of remote foot temperature monitoring (RFTM) (Siren’s Neurofabric™ Diabetic socks) in addition to standard of care (SoC) versus SoC alone for early detection of DFU with diabetic neuropathy and a moderate to high risk of DFU.MethodsA payer perspective decision-tree analysis was conducted to compare expected DFU occurrence and subsequent amputation rates and costs between treatment strategies over one year. Inputs in the model were sourced from publicly available literature and relevant health technology assessments. One-way sensitivity analyses were performed for each model variable.ResultsIn the base-case scenario, RFTM plus SoC was a dominant strategy compared to SoC alone. RFTM plus SoC was associated with cost savings of $38,593 per additional ulcer avoided versus SoC alone, and $8027 per patient per year on average compared to SoC alone. These results were highly robust to one-way sensitivity analysis; all scenarios remained dominant if compliance was ≥13%.ConclusionRFTM is a cost-effective addition to SoC in patients with diabetic neuropathy at a moderate-to-high risk of DFU and subsequent amputation. Further, reduction in DFU and associated complications may result in improvements in the patient’s quality of life and mental health. Future studies are needed to evaluate the compliance and reduction of DFU occurrence in patients on RFTM.