scholarly journals A remote patient monitoring based on WBAN implementation with internet of thing and cloud server

2021 ◽  
Vol 10 (3) ◽  
pp. 1640-1647
Author(s):  
Jaber H. Majeed ◽  
Qais Aish
Keyword(s):  
Low Cost ◽  
Vital Signs ◽  
Delivery Ratio ◽  
Specialist Care ◽  
Average Delay ◽  
Hospital Capacity ◽  
Number Of Patients ◽  
Cloud Server ◽  
Remote Patient

A healthcare employment is the mainly domain in emergent technology of WBAN, and an e-health system created of cloud computing in addition to a WSN considers an important part of this field. An implementation of remotely system for monitoring the patient's vital signs require continuous observation to form low-cost networks with the ability of portability and flexibility and may be applied with separate position and long-term intensive care of peoples in the absence of disturbance of their everyday activities. The patient carries body sensor's patches to get transmitted vital signs continuously to the cloud environment, and a website is designed for presenting and analyzing the data based on designed algorithm. A comparison is made every received measurement with a that stored in the algorithm. In remote specialist care, the execution of confidence and confidentiality conservation is critical, as essential restrictions were being communicating with remote locations. To ensure reliability, the implemented system offers real time monitoring and certification to the patient's condition by means of a medical record, with rapid medical data delivery to the medical staff and can also increase the service delivery ratio of hospital capacity and monitoring of large number of patients with concentrated average delay.

IoT based e-Healthcare System to Enable Remote Patient Care based on Cloud Server

2017 ◽  
Vol 7 (7) ◽  
pp. 36
Author(s):  
P.Venu Gopala Rao ◽  
Eslavath Raja ◽  
Ramakrishna Gandi ◽  
G. Ravi Kumar
Keyword(s):  
Low Cost ◽  
Vital Signs ◽  
Smart Phone ◽  
Medical Professional ◽  
Design Parameters ◽  
Cloud Server ◽  
Significant Area ◽  
Efficient Data ◽  
System Data ◽  
Remote Patient

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.

scholarly journals Autonomous Dam Surveillance Robot System Based on Multi-Sensor Fusion

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1097 ◽  
Author(s):  
Chao Zhang ◽  
Quanzhong Zhan ◽  
Qi Wang ◽  
Haichao Wu ◽  
Ting He ◽  
...  
Keyword(s):  
Flood Control ◽  
Low Cost ◽  
Kinematic Model ◽  
Good Choice ◽  
Robot System ◽  
Cloud Server ◽  
Water Conservancy ◽  
Navigation Method ◽  
Robot Body

Dams are important engineering facilities in the water conservancy industry. They have many functions, such as flood control, electric power generation, irrigation, water supply, shipping, etc. Therefore, their long-term safety is crucial to operational stability. Because of the complexity of the dam environment, robots with various kinds of sensors are a good choice to replace humans to perform a surveillance job. In this paper, an autonomous system design is proposed for dam ground surveillance robots, which includes general solution, electromechanical layout, sensors scheme, and navigation method. A strong and agile skid-steered mobile robot body platform is designed and created, which can be controlled accurately based on an MCU and an onboard IMU. A novel low-cost LiDAR is adopted for odometry estimation. To realize more robust localization results, two Kalman filter loops are used with the robot kinematic model to fuse wheel encoder, IMU, LiDAR odometry, and a low-cost GNSS receiver data. Besides, a recognition network based on YOLO v3 is deployed to realize real-time recognition of cracks and people during surveillance. As a system, by connecting the robot, the cloud server and the users with IOT technology, the proposed solution could be more robust and practical.

scholarly journals Remote medical consultations for patients: what has changed in Russia in 20 years

2021 ◽  
Vol 7 (2) ◽  
pp. 7-17
Author(s):  
I.A. Shaderkin ◽  
◽  
V.A. Shaderkina ◽  
◽  
Keyword(s):  
Mobile Applications ◽  
Vital Signs ◽  
Legal Regulation ◽  
The Body ◽  
Active Growth ◽  
Medical Opinion ◽  
Internet Resources ◽  
Patient Consultation ◽  
Remote Patient

Introduction. 2020 has sparked explosive growth in telemedicine, especially remote patient consultation and remote patient monitoring techniques. Materials and methods. The authors analyzed data from 169 articles from Pubmed and 47 articles from Elibrary.ru, 117 analytical reviews of Internet resources, Federal Laws on the keywords «remote patient consultation», «mobile applications for patients», «telemedicine», «pandemic». For this publication, 49 publications were selected, as well as the authors' own opinions and experiences. Results. Today remote consulting in Russia is used in the case of an initial consultation – a preventive appointment, referral to clinics, obtaining a second medical opinion with the possibility of prescribing additional examinations. Over the past 20 years, there has been an active growth in the development of remote consultations, long-term monitoring of patients' health, the introduction of mobile applications for monitoring vital signs of the body. An important point is the legal regulation of the provisions on the use of telemedicine technologies, however, it remains imperfect and requires improvement. The COVID pandemic has become a driver for the development of TM technologies in the state healthcare system. Conclusions. TM has transformed from conventional consultations to long-term (continuous) monitoring of health status using medical devices, which can be considered one of the most promising new areas with clinical efficacy. TM technologies are gradually becoming a familiar tool in clinical practice and may become routine for doctors and patients even after the end of the pandemic.

scholarly journals IoT Based Cloud Agent System for Adult Health Care Monitoring

2020 ◽  
pp. 35-41 ◽  
Author(s):  
Prasanna kumari V ◽  
Amutha C
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Learning Algorithm ◽  
Vital Signs ◽  
Bed Rest ◽  
Adult Health ◽  
Cloud Server ◽  
Health Care Monitoring ◽  
Monitoring Service

A continuous health monitoring system for patients with long term sickness and older age people in bed rest in-home or hospital. The system is developed to provide a solution for the problem by continuously monitor the patient's health using wireless sensor networks (WSN) and Machine learning. The system provides visual monitoring service through live video. The vital signs of the patient can be monitored such as temperature, humidity, pulse, breathing rate, etc. and provides the live monitoring using an MQTT mobile application and losant dashboard cloud server. From the collected data by using a machine learning algorithm like a random forest we can able to target the risk causing factors and rescues the patient immediately.

scholarly journals The effect of antiaggregational therapy on the long-term patency of the femoropopliteal/crural bypass

2012 ◽  
Vol 140 (1-2) ◽  
pp. 29-34
Author(s):  
Dragan Vasic ◽  
Oliver Radmili ◽  
Lazar Davidovic ◽  
Milica Vranes
Keyword(s):  
Acetylsalicylic Acid ◽  
Low Cost ◽  
Arterial Reconstruction ◽  
Reconstruction Surgery ◽  
Bypass Patency ◽  
Number Of Patients ◽  
First Choice ◽  
Significant Difference ◽  
Clinical Centre

Introduction. Antiaggregational therapy can reduce thrombosis development following the arterial reconstruction surgery. In most cases acetylsalicylic acid and ticlopidine are used as antiaggregational agents. Objective. The aim of this research was to examine the influence of different antiaggregational agents on a long-term femoropopliteal/crural bypass patency. Methods. The study involved 142 patients who underwent femoropopliteal/crural bypass reconstructions at the Cardiovascular Disease Institute of the Clinical Centre of Serbia. Most patient were operated on in the period from December 2007 to December 2009; however, the study also included a certain number of patients who had undergone surgery 1-7 years earlier, and who were postsurgically under a regular check-up and examination. Depending on the administered antiaggregational agents, three groups of the patients were formed: 1) patients on 100 mg/daily acetylsalicylic acid; 2) patients on 2C250 mg/ daily ticlopidine; and 3) patients on 100 mg/daily acetylsalicylic acid combined with 2C250 mg/daily ticlopidine. Results. Among the formed groups in our study, there was no statistically significant difference in the femoropopliteal/crural bypass long-term patency, and the obtained patency values for each group were in accordance to the data from the literature. Conclusion. The first-choice antiaggregative agent after surgical infrainguinal arterial reconstruction procedures was found to be acetylsalicylic acid as compared to ticlopidin for at least two reasons: low cost and absence of neuthropenia as a side-effect.

scholarly journals TPR-DTVN: A Routing Algorithm in Delay Tolerant Vessel Network Based on Long-Term Trajectory Prediction

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Chao Liu ◽  
Yingbin Li ◽  
Ruobing Jiang ◽  
Yong Du ◽  
Qian Lu ◽  
...  
Keyword(s):  
Social Relations ◽  
Low Cost ◽  
Academic Community ◽  
Routing Algorithms ◽  
Coarse Grained ◽  
Delivery Ratio ◽  
Trajectory Data ◽  
Trajectory Prediction ◽  
Delay Tolerant

An efficient and low-cost communication system has great significance in maritime communication, but it faces enormous challenges because of high communication costs, incomplete communication infrastructure, and inefficient routing algorithms. Delay Tolerant Vessel Networks (DTVNs), which can create low-cost communication opportunities among vessels, have recently attracted considerable attention in the academic community. Most existing maritime ad hoc routing algorithms focus on predicting vessels’ future contacts by mining coarse-grained social relations or spatial distribution, which has led to poor performance. In this paper, we analyze 3-year trajectory data of 5123 fishery vessels in the China East Sea. Using entropy theory, we observe that the trajectory of the vessel has strongly spatial-temporal distribution regularity, especially when previous states were given. To predict accurate future trajectories, we develop a long-term accurate trajectory prediction model by improving the Bidirectional Long-Short Term Memory (Bi-LSTM) model. Based on predicted trajectories and the confident degree of each prediction step, we propose a series of routing algorithms called TPR-DTVN to achieve efficient communication performance. Finally, we carry out simulation experiments with extensive real data. Compared with existing algorithms, the simulation results show that TPR-DTVN can achieve a higher delivery ratio with lower cost and transmission delay.

Abstract TP374: Risk Assessment Scale for the Consideration of Long-Term Alternate Means of Nutrition

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Michael Omoniyi Ayanbadejo ◽  
Melissa Hogan ◽  
Wendy Giglio ◽  
Lee Guterman
Keyword(s):  
At Risk ◽  
Neurological Disease ◽  
Vital Signs ◽  
Cost Effective ◽  
Barium Swallow ◽  
Number Of Patients ◽  
Nutritional Needs ◽  
Peg Tube ◽  
Risk Of Aspiration

Objectives: The decision to utilize percutaneous enteral feeding for hospital patients after stroke or as a result neurological disease is based on qualitative measures. There is no defined protocol for the evaluation of patients who may require alternative means of feeding such as a PEG tube. We developed a quantitative scale HOGLIO scale.We developed a quantitative scale to determine which patients with neurologic disease/deficits will require Percutaneous Enteral Gastrostomy. The scale identifies patients at risk for aspiration by applying a score based on patient’s (a) level of arousal as measure by the Observational Scale Level of Arousal (OSLA),(b)respiratory status as measured by peripheral capillary oxygen saturation (c)aspiration risk as measured by formal bedside swallow evaluation/instrumental assessment (d)Long term nutritional needs as measured by patient’s ability to meet nutritional needs orally. Methods: We conducted a prospective registry review of patients with consultation for speech and swallow on the stroke ward at our comprehensive stroke Center, between June-July 2019. The following variables were collected for each patients; Age ,NIH score, OSLA score, HOGLIO score, vital signs ,medication list and per oral diet status. Result: The patients ranged in age from 21-85 years with mean age of 63.6 years. Patients with H score > 10 need PEG. We found that the strongest correlation between the need for PEG and H score was in the level of consciousness .Our preliminary data indicate that score greater than 10 is a good indicator for PEG.A high score on the Level of Arousal testing appears to be indicative of a need for PEG, as is a failed barium swallow, and a failed bedside swallowing test. Conclusion: Historically patients with neurological disease are at risk of aspiration. The PEG tube can be used to improve nutrition and meet metabolic needs of patients at higher risk of aspiration. It is cost effective and associated with lower complications compared to parenteral nutrition. The pilot study may suggest a relationship between HOGLIO score, risk of aspiration and need for an alternative route of nutrition such as PEG. We propose to carry out our study on a larger number of patients to further understand the relationships.

scholarly journals Neuropsychiatric Disorders and COVID-19: What We Know So Far

2021 ◽  
Vol 14 (9) ◽  
pp. 933
Author(s):  
Fernanda Majolo ◽  
Guilherme Liberato da Silva ◽  
Lucas Vieira ◽  
Cetin Anli ◽  
Luís Fernando Saraiva Macedo Timmers ◽  
...  
Keyword(s):  
Nervous System ◽  
Neurological Disorders ◽  
Vital Signs ◽  
Severe Infection ◽  
Neurological Symptoms ◽  
Number Of Patients ◽  
Life Threatening ◽  
The Central Nervous System ◽  
New Treatments

SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) affects the central nervous system (CNS), which is shown in a significant number of patients with neurological events. In this study, an updated literature review was carried out regarding neurological disorders in COVID-19. Neurological symptoms are more common in patients with severe infection according to their respiratory status and divided into three categories: (1) CNS manifestations; (2) cranial and peripheral nervous system manifestations; and (3) skeletal muscle injury manifestations. Patients with pre-existing cerebrovascular disease are at a higher risk of admission to the intensive care unit (ICU) and mortality. The neurological manifestations associated with COVID-19 are of great importance, but when life-threatening abnormal vital signs occur in severely ill COVID-19 patients, neurological problems are usually not considered. It is crucial to search for new treatments for brain damage, as well as for alternative therapies that recover the damaged brain and reduce the inflammatory response and its consequences for other organs. In addition, there is a need to diagnose these manifestations as early as possible to limit long-term consequences. Therefore, much research is needed to explain the involvement of SARS-CoV-2 causing these neurological symptoms because scientists know zero about it.

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