Remote Monitoring Equipment Research Articles

Design, implementation, and impact of a cirrhosis-specific remote patient monitoring program.

Remote patient monitoring (RPM) is an emerging focus in health care, and specialized programs may reduce medical costs, supplement in-office visits, and improve patient satisfaction. In this study, we describe the development, feasibility, and early outcomes of an RPM program for patients with decompensated cirrhosis. Forty-six patients were offered enrollment at the time of hospital discharge in the cirrhosis RPM program (CiRPM), of which 41 completed at least 30 days of monitoring. Participants were mailed remote monitoring equipment and a tablet to be used for patient-reported outcomes. Alerts were continuously monitored by virtual nursing staff who could perform targeted interventions. A cohort of historical controls (n = 74) was created for comparison using inverse probability of treatment weighting. Patients were enrolled in the program for a mean of 83.9 days, with 28 (68%) completing the full 90-day program. Participants uploaded vital signs and responded to symptom-based questionnaires on 93% of the monitored days. On end-of-program surveys, over 75% of patients expressed satisfaction with the program. Gender, age, and MELD-Na were similar between CiRPM and weighted control groups. The 90-day readmission rate was 34% in CiRPM and 47% in weighted controls. In the CiRPM group, 12% of subjects had 2 or more admissions, compared to 37% in the weighted control group. This study demonstrates the feasibility of a cirrhosis-specific RPM program. Overall, patient satisfaction and utilization of the CiRPM was high. Future studies are needed to confirm the impact of RPM on the reduction of hospital readmissions in decompensated cirrhosis.

Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources

Cardiac surgery patients are highly prone to severe complications post-discharge. Close follow-up through remote patient monitoring can help detect adverse outcomes earlier or prevent them, closing the gap between hospital and home care. However, equipment is limited due to economic and human resource constraints. This issue raises the need for efficient risk estimation to provide clinicians with insights into the potential benefit of remote monitoring for each patient. Standard models, such as the EuroSCORE, predict the mortality risk before the surgery. While these are used and validated in real settings, the models lack information collected during or following the surgery, determinant to predict adverse outcomes occurring further in the future. This paper proposes a Clinical Decision Support System based on Machine Learning to estimate the risk of severe complications within 90 days following cardiothoracic surgery discharge, an innovative objective underexplored in the literature. Health records from a cardiothoracic surgery department regarding 5 045 patients (60.8% male) collected throughout ten years were used to train predictive models. Clinicians' insights contributed to improving data preparation and extending traditional pipeline optimization techniques, addressing medical Artificial Intelligence requirements. Two separate test sets were used to evaluate the generalizability, one derived from a patient-grouped 70/30 split and another including all surgeries from the last available year. The achieved Area Under the Receiver Operating Characteristic curve on these test sets was 69.5% and 65.3%, respectively. Also, additional testing was implemented to simulate a real-world use case considering the weekly distribution of remote patient monitoring resources post-discharge. Compared to the random resource allocation, the selection of patients with respect to the outputs of the proposed model was proven beneficial, as it led to a higher number of high-risk patients receiving remote monitoring equipment.

Intraoperative Radiation Therapy

Intraoperative radiation therapy is a developing technology that is being explored at least 60 centers around the world. lt is nota procedure to be undertaken lightly because of high initial startup costs (shielding, modification/adaptation of machine head, operating table modifications, remote monitoring equipment, etc.). It demands dose cooperation between surgeons, physicists, anesthesiologists, radiotherapists, nurses, and other personnel76. IOPT is not without its complications77. Only recently has the ROTG begun to collect data in a prospective fashion forpatients treated with lORT Much investigative work remains to be done, and, at this time, IORT is a modality best suited for facilities that not only have the technological capacity to embark on such a program, but that also can cooperatively collect meaningful data in a prospective fashion and interpret sarne.

Mechanism of Total Ionizing Dose Effects of CMOS Image Sensors on Camera Resolution

The nuclear industry and other high-radiation environments often need remote monitoring equipment with advanced cameras to achieve precise remote control operations. CMOS image sensors, as a critical component of these cameras, get exposed to γ-ray irradiation while operating in such environments, which causes performance degradation that adversely affects camera resolution. This study conducted total ionizing dose experiments on CMOS image sensors and camera systems and thoroughly analyzed the impact mechanisms of the dark current, Full Well Capacity, and quantum efficiency of CMOS image sensors on camera resolution. A quantitative evaluation formula was established to evaluate the impact of Full Well Capacity and quantum efficiency of the CMOS image sensor on camera resolution. This study provides a theoretical basis for the evaluation of the radiation resistance of cameras in environments with strong nuclear radiation and the development of radiation-resistant cameras.

5G Technology in Smart Healthcare and Smart City Development Integration with Deep Learning Architectures

As more and more medical devices, including as mobile phones, sensors, and remote monitoring equipment, require Internet access, wireless networks have gained considerable traction in the healthcare sector. High-performance technologies, such as the forthcoming fifth generation/sixth generation (5G/6G), are needed for data transit to and from medical equipment in order to give patients with state-of-the-art medical treatments. Furthermore, much better optimization techniques must be used when creating its primary components. Intelligent system design affects how all medical equipment operates, which presents a challenging issue in medical applications. Using information from many sources, electronic health records are built and stored there. These data are compiled in several formats and techniques. There are various big data strategies that could be utilised to reconcile the conflicting data. Artificial intelligence, machine learning and deep learning methods can be used to forecast diseases or other problems using the knowledge gathered from big data analytics. With the advent of 5G, augmented reality, virtual reality and spatial computing are all enhanced, which has a profound effect on healthcare informatics by allowing for real-time remote monitoring. With the advent of 5G technologies, healthcare services can be provided over vast distances via a vast network of interconnected devices and high-performance computation. Disease detection and treatment using dynamic data can be accomplished with the help of deep learning techniques such as Deep Convolutional Neural Networks (DCNN). Deep convolutional neural networks that incorporate images of sick regions are frequently employed for classification tasks.

Electronic Application of Bartocar In Chronic Renal Failure Patients: A Literature Review

Chronic Renal Failure (CRF) is a slow, progressive and irreversible decline in renal function can lead to the inability of the kidneys to dispose of residual waste products and unable to maintain fluid and electrolyte balance. Hemodialysis treatment measures performed on CRF patients in order to survive. Fluid monitoring in CRF patients using telemonitoring (remote monitoring equipment), the application contains fluid control and diet to facilitate patients at home. To find out the nutritional monitoring of Chronic Renal Failure patients using the electronic application of bartocar (nutritional fluid monitoring sheet). In this literature review were use 3 data bases namely proquest, pubmed and google scholar, he last 5 years from 2016-2020. Inclusion criteria: Quantitative, qualitative and mix method research design, have communication tools such as mobile phones/computers, Based via online (smartphones and websites), Chronic renal failure undergoing hemodialysis, Free, the last 5 years 2016-2020. Exclusion criteria: Paid journals, Patients undergoing hemodialysis. From the results of the journal search obtained 35,944 English journals discussed only 10 journals discussed different topics. Electronic bartocar (fluid monitoring sheet) in patients very helpful to facilitate diet, restriction of incoming and outgoing fluids and nutrients. This mHealth app is designed to help with early diagnosis of CRF and self-monitoring. This app can be accessed via online, android 4.0/ios mobile web application and website app. Bartocar serves to help monitoring fluids and nutrients in chronic renal failure patients at home.

Electronic Application of Bartocar In Chronic Renal Failure Patients: A Literature Review

Chronic Renal Failure (CRF) is a slow, progressive and irreversible decline in renal function can lead to the inability of the kidneys to dispose of residual waste products and unable to maintain fluid and electrolyte balance. Hemodialysis treatment measures performed on CRF patients in order to survive. Fluid monitoring in CRF patients using telemonitoring (remote monitoring equipment), the application contains fluid control and diet to facilitate patients at home. To find out the nutritional monitoring of Chronic Renal Failure patients using the electronic application of bartocar (nutritional fluid monitoring sheet). In this literature review were use 3 data bases namely proquest, pubmed and google scholar, he last 5 years from 2016-2020. Inclusion criteria: Quantitative, qualitative and mix method research design, have communication tools such as mobile phones/computers, Based via online (smartphones and websites), Chronic renal failure undergoing hemodialysis, Free, the last 5 years 2016-2020. Exclusion criteria: Paid journals, Patients undergoing hemodialysis. From the results of the journal search obtained 35,944 English journals discussed only 10 journals discussed different topics. Electronic bartocar (fluid monitoring sheet) in patients very helpful to facilitate diet, restriction of incoming and outgoing fluids and nutrients. This mHealth app is designed to help with early diagnosis of CRF and self-monitoring. This app can be accessed via online, android 4.0/ios mobile web application and website app. Bartocar serves to help monitoring fluids and nutrients in chronic renal failure patients at home.

Magic of 5G Technology and Optimization Methods Applied to Biomedical Devices: A Survey

Wireless networks have gained significant attention and importance in healthcare as various medical devices such as mobile devices, sensors, and remote monitoring equipment must be connected to communication networks. In order to provide advanced medical treatments to patients, high-performance technologies such as the emerging fifth generation/sixth generation (5G/6G) are required for transferring data to and from medical devices and in addition to their major components developed with improved optimization methods which are substantially needed and embedded in them. Providing intelligent system design is a challenging task in medical applications, as it affects the whole behaviors of medical devices. A critical review of the medical devices and the various optimization methods employed are presented in this paper, to pave the way for designers to develop an apparatus that is applicable in the healthcare industry under 5G technology and future 6G wireless networks.

Internet of things in medicine and dentistry

The internet of Things (IoT) in medical arena, also known as internet of medical things (IoMT) is the collection of medical devices and application connecting healthcare Information Technology (IT) system by means of online computer networks. It enables virtually any medical devices as well as non digitalized things (like pills and beds) to connect process and communicate data via web. IoMT allows medical devices and health-care items to exchange data on the spot, online with anyone who has a genuine need for it. The aura of IoMT includes wireless communication technologies, cloud computing, wearable technologies, messaging protocols, security methods, development boards, microcontrollers, mobile/IoT operating systems, and programming languages, built upon numerous technologies including advanced sensors, IoT connectivity and artificial intelligence (AI). IoMT can improve healthcare quality and reduce costs too in hospitals and clinics. In places where distance is the limiting factor, Telemedicine plays a vital role in remote patient monitoring. Major applications include biomedical equipment remote monitoring, remote patient monitoring biosensors and radio frequency identification. IoT in Dentistry aims to streamline oral health care by enhancing oral health while reducing costs, promoting workflow, relieving dentists and dental workers of tedious and time-consuming activities, and igniting interest in personalized oral health care.

An Optical Implant for Biotelemetry: Design, In Vivo Verification, and Challenges

This article introduces a novel optical wireless framework that realizes linternet of Things (IoT) biotelemetry. For a clinical application, an implantable medical device (IMD) design is developed to capture in-body electrocardiogram (ECG) and transmit it through optical wireless communication to remote monitoring equipment. To achieve sub-milliwatt-level power consumption, a novel energy-saving strategy dedicated to the optical implants is implemented. Unlike existing RF-based IMDs, the optical IMD design allows seamless long-term ECG monitoring with limited battery capacity, which elicits considerable diagnostic accuracy enhancement. In vivo experiments with canine models verify the viability of the IMD prototype for successful real-time biotelemetry at the expense of only 384 µW along with its detection capability for various types of arrhythmic patterns. Important benefits of the optical IMD approach include the harmlessness of ultra-low-power optical emission to the living body as compared to the RF radiation of typical wireless IMDs prone to heat-generating dermal absorption, ending up with undesirable physiologic impacts. The optical IMD approach paves the way for an attractive IoT solution of biotelemetry applications.

Clear and Present Dangers: The Multiple Health Hazards of Volcanic Eruptions.

Clear and Present Dangers: The Multiple Health Hazards of Volcanic Eruptions.

Research on Remote Monitoring and Fault Diagnosis System for Coal Mine Electromechanical Equipment

This article proposes an architecture of equipment remote monitoring and fault diagnosis system in view of the increasingly complex business logic and functional requirements of the current coal mine electromechanical equipment remote monitoring and fault diagnosis system. We established a loosely coupled Web service system by abstracting and dividing the business logic and functional requirements of the remote monitoring and fault diagnosis system at different levels and different granularities. At the same time, we use the fault diagnosis model of multi-scale residual network and attention mechanism algorithm to verify the effectiveness of the fault diagnosis system.

Nursing Interventions Increase Influenza Vaccination Quality Measures for Home Telehealth Patients.

Influenza vaccinations are a preventive health quality measure. Home telehealth nursing staff interventions can reduce influenza disease burden and complications. To improve seasonal flu vaccine rates using novel home telehealth clinical and technology interventions. A pre- and postintervention concurrent cohort study for 513 outpatients was conducted. Interventions included automated 2-way patient messaging using remote monitoring equipment, a new note template to record vaccination status in the electronic health record, and flu vaccine patient education. Interventions resulted in vaccination rates of 70.4% for Veterans ages 19 to 65 years, and 81.7% for Veterans 66 years and older, exceeding national, regional, and local Veterans Administration targets. Two-way messaging and standardized documentation increased rates. Declinations persisted despite education. Reasons included fear of side effects, and rarely leaving home due to the COVID-19 pandemic. Nursing interventions can increase influenza vaccination quality measures for primary care home telehealth patients.

Analysis of Real-World Fuel Consumption Characteristics of Heavy-Duty Commercial Diesel Vehicle Based on OBD Method

In this paper, heavy-duty commercial diesel vehicles were selected for the actual road, vehicle emission test system (PEMS), C-WTVC and CATC test, and each test was connected to the OBD remote monitoring equipment. Through PEMS test and C-WTVC test, the instantaneous fuel consumption data and carbon balance fuel consumption data of OBD remote monitoring equipment are compared within 10%, which proves that OBD remote monitoring has good accuracy. The fuel consumption of the actual road test normalized to CATC is 10.8%-88.0% higher than that of the ministry of industry and information technology type certification, with an average value of 45.1%. The fuel consumption under the normalized C-WTVC condition is 10.1%∼76.6% higher than that under the type approval of the ministry of industry and information technology, with an average value of 40.0% 23.9%. This difference is relatively smaller than that under the normalized to CATC. It is of great significance to correctly guide the development and calibration of vehicles and promote the research and application of vehicle energy conservation and emission reduction technologies suitable for China’s traffic characteristics and actual use characteristics.

431: Cost-effectiveness of telehealth blood pressure monitoring in postpartum women with hypertension

Postpartum hypertension is the leading cause of postpartum readmissions in the US. The objective of this study was to evaluate the cost-effectiveness of telehealth blood pressure monitoring of postpartum women with hypertensive disorders from the hospital’s perspective. A decision tree was developed based on results from a non-randomized controlled trial comparing telehealth to standard outpatient blood pressure monitoring. Upon postpartum discharge from the hospital, we issued remote monitoring equipment including a Bluetooth tablet, blood pressure cuff, and scale to postpartum women at a single academic center who were diagnosed with a hypertensive disorder in the antenatal or postnatal period. Patients transmitted vital signs daily to a telehealth nurse, who used an outpatient treatment algorithm to monitor patients, manage antihypertensive medications, or refer for emergent care if symptomatic. We followed patients for 6 weeks and performed cost-effectiveness analysis by using data from hospital and device manufacturer supplied charges and literature-derived utilities. A cost-effectiveness threshold was set at $100,000/quality-adjusted life years. One-way sensitivity analyses were performed to evaluate the robustness of our baseline assumptions. 214 telehealth and 214 control participants were enrolled. Telehealth monitoring significantly reduced postpartum readmissions, from 3.7% (8/214) to 0.5% (1/214). Our study demonstrated that telehealth monitoring was not only cost-effective, but cost-saving. The telehealth cost per patient was $319 and found to be cost-effective up to $423 per patient. Similarly, telehealth monitoring remained cost-effective down to an admission cost of $11,245 compared to our average admission cost of $14,401. Telehealth monitoring also remained cost-effective down to an admission rate of 2.9% with standard monitoring. Our study demonstrates that telehealth blood pressure monitoring of postpartum women with hypertension is cost-effective, cost-saving, and reduces postpartum readmissions.

Diseño de sistema de monitoreo remoto para evaluación de la corrosión en estructuras de concreto reforzado sometidas a ion cloruro

In this paper it was designed and built a remote monitoring equipment that allows to obtain the corrosion potential in reinforcing steels embedded in reinforced concrete, which were previously subjected to chloride attack in a hostile environment. The monitoring system, based on ASTM standard C876-91, determines from 0% to 100% the probability of corrosion on the samples tested. The system provides ease of perform field installation, if there is cellular network coverage, and may be operated remotely using text messages to start and stop measurements, whose results are stored in a local data logger on microSD cards and then are sent via the general packet radio service (GPRS) to a web server which allows to access to the data via a web page, where the test results can be seen graphically. The concrete samples used as reference for monitoring degradation were immersed in chloride ion (3.5% NaCl) for 12 months. Data for corrosion potential were generated through the exposure-concrete interface, corresponding to a system with a 90% probability of corrosion.

Design of Femtocell-Based Smart Home System Gateway

With the development of Internet technology and communication technology, traditional base station has been unable to meet the demand for high data services. In view of this, we propose the system core with Samsung S3C2440X processor constructs smart home hardware platform and using ADI ADF4602 single-chip, multiband 3G Femtocell transceiver to establish 3G home base stations, designed and realized an embedded gateway server through the house gateway to realize the family appliance equipment remote monitoring. Of software design, focusing on smart home control system, transplantation of embedded operating system uClinux to manage system resources, constructed a complete family gateway hardware and software platform, which can reduce the load of Microcell, improve the whole network capacity, and provide high-speed and high-quality indoor wireless access services.

Research of University Laboratory Equipment Remote Monitoring System Based on RFID and ZigBee

For the phenomenon of the college laboratory equipment mismanagement recent years, the RFID/ZigBee-based laboratory equipment remote management solution has been proposed. The hardware uses a ZigBee wireless network chip, an MSP430 low-power data processing chip and a WiFi data transmission module as the core, combined with various sensor and RFID technologies to perform information collection and transmission. The software is a web server developed in C# platform, using a three-tier structure to perform data storage, data access, and data processing. The experiments showed that it can perform communication between a monitoring terminal and a laboratory device timely and accurately, and achieve client integrate, and improve the efficiency of managing the laboratory equipment.

LabVIEW over BACnet, a New Approach for Electromechanical Equipment Remote Monitoring System

BACnet is a standard data communication protocol designed specifically for building automation and control systems. In BACnet network, each device is modeled as a collection of network-accessible, data structure called “objects”. LabVIEW is a graphical development environment for creating flexible data acquisition, device control and industrial automation applications at minimal cost. In this study, a remote monitoring system based on LabVIEW and BACnet was proposed, in which electromechanical equipment is described by a series of BACnet objects and LabVIEW provides a friendly unified human-computer interface for users. In order to evaluate the feasibility of this system, an experimental model was developed. Due to the characteristic of device-independent, not only can extend the scope of BACnet application, but also make different equipments monitored under the same platform becomes possible.

PS3-28: Telemedicine Specialty Consultation in a Medically Underserved Community

Background and Aims: During the current national health care reform discussions, health information technologies (HIT) are receiving a lot of attention as means of lowering health care costs, improving access to health care, reducing errors during the delivery of healthcare, and improving health outcomes. Patients in rural or medically underserved areas find it difficult to obtain and maintain adequate access to health care. Telemedicine (TM) services can exchange video and audio information between healthcare providers and patients in different locations. For individuals in rural communities TM may improve access to care through the use of novel care delivery models. We are conducting a proof of concept (POC) study to evaluate the use of TM consultation between a primary care clinic in a medically underserved region of southern Colorado and a specialty care (endocrinology) clinic in Denver. Methods: This is a prospective health services POC study. We are taking advantage of a “natural experiment,” the expansion of primary care services into a medically underserved area of southern Colorado, to examine the requirements for establishing TM services between a rural primary care clinic and metropolitan based specialists. Results: Technical requirements included establishing network capabilities (512 kbps ISDN, H.320), 2 Mbps IP (H.323 or SIP), wirelss LAN connection, encryption embedded transmissions (H.235 and IEEE 802.1 x authentication); and remote monitoring equipment (exam camera, ENT/otoscope, electronic digital audio stethoscope (frequency: 40 Hz–2000 Hz, response: 45 Hz–1.6 KHz). Legal requirements involved the review of both federal and state statutes governing the use of TM for patient care and geographical/population requirements. Billing and regulatory requirements entail ensuring the use of the correct CPT and modifiers codes for TM and making sure these are operational within the medical record. Establishing criteria to ensure patients are appropriate for TM, the contents for TM informed consent, rules governing the use of TM for Medicare/Medicaid and non-Medicare/Medicaid patients. Establish clinical workflows for TM between the primary care and specialty care clinics. Conclusions: Invovle legal counsel early to review state statutes and develop TM patient/provider consent forms. Coordinate services with IT department. Coordinate documentation requirements with the billing and coding department. Work with clinic staff to incorporate TM into the clinic and admnistrative workflow. Define roles and responsibilites. Early planning and inter-department coordination is essential for a successful TM project.