scholarly journals Security Enhanced Blockchain based Unmanned Aerial Vehicle Health Monitoring System

2021 ◽  
Vol 2 (2) ◽  
pp. 121-131
Author(s):  
Jennifer S. Raj
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Health Monitoring ◽  
Research Work ◽  
Health Data ◽  
The Body ◽  
Two Phase ◽  
Health Monitoring System ◽  
Authentication Mechanism ◽  
Secure Environment ◽  
Aerial Vehicle

In this research work and unmanned aerial vehicle (UAV) that uses blockchain methodology to collect health data from the users and saves it on a server nearby is introduced. In this paper the UAV communicates with the body sensor hives (BSH) through a low-power secure manner. This process is established using a token with which the UAV establishes relationship with the BSH. The UAV decrypts the retrieved HD with the help of of the shared key, creating a two-phase authentication mechanism. When verified, the HT is transmitted to a server nearby in a safe manner using blockchain. The proposed healthcare methodology is analysed to determine its feasibility. Simulation and implementation is executed and a performance of the work is observed. Analysis indicates that the proposed work provides good assistance in a secure environment.

Continuous health monitoring: An opportunity for precision health

2021 ◽  
Vol 13 (597) ◽  
pp. eabe5383
Author(s):  
Sanjiv S. Gambhir ◽  
T. Jessie Ge ◽  
Ophir Vermesh ◽  
Ryan Spitler ◽  
Garry E. Gold
Keyword(s):  
Health Monitoring ◽  
Data Analytics ◽  
Health Data ◽  
The Body ◽  
Monitoring Technologies ◽  
Precision Health ◽  
Continuous Health Monitoring

Continuous health monitoring and integrated diagnostic devices, worn on the body and used in the home, will help to identify and prevent early manifestations of disease. However, challenges lie ahead in validating new health monitoring technologies and in optimizing data analytics to extract actionable conclusions from continuously obtained health data.

scholarly journals Supervised Linear Estimator Modeling (SLEMH) for Health Monitoring

2019 ◽  
Vol 9 (1) ◽  
pp. 2876-2882
Keyword(s):  
Health Monitoring ◽  
Research Work ◽  
Health Indicators ◽  
Health Condition ◽  
Recursive Feature Elimination ◽  
Linear Estimator ◽  
Health States ◽  
Linear Discriminant ◽  
Health Monitoring System ◽  
Regression Estimators

In this research work, the E-Health monitoring system has been developed using fifteen health indicators. These fifteen features were selected by following a Recursive Feature Elimination with Cross-Validation method. The dataset was labeled as per medical limits and segregated into three classes (normal, borderline and onset of unhealthy state). A rigorous process was followed at each step to find out which linear estimator and model is suitable for classifying health condition of persons. Five regression estimators were evaluated and it was found that logistic regression and linear discriminant analysis methods are providing highest accuracy and lowest error for classifying three health states of a patient.

scholarly journals Developing a Public Health Monitoring System in a War-torn Region: A Field Report From Iraqi Kurdistan

2019 ◽  
Vol 14 (5) ◽  
pp. 620-622
Author(s):  
Stefania Moramarco ◽  
Faiq B. Basa ◽  
Haveen H. Alsilefanee ◽  
Sivar A. Qadir ◽  
Leonardo Emberti Gialloreti
Keyword(s):  
Public Health ◽  
Health System ◽  
Monitoring System ◽  
Health Monitoring ◽  
Electronic System ◽  
Health Data ◽  
Health Monitoring System ◽  
Iraqi Kurdistan ◽  
Epidemiological Monitoring ◽  
Field Report

ABSTRACTWars, terrorism, and embargos destroyed facilities and shattered the public health system of Iraq. Today, there is limited documented knowledge about the health situation of the Iraqi population, particularly because health data are not systematically collected. Therefore, the capacity of the health system to address the major health problems of the population is considerably reduced. This report describes the implementation, started in 2015, of an electronic system for epidemiological monitoring and health surveillance, designed to collect and manage health care data in Iraqi Kurdistan. The aim of the program is to network all of the main health centers and hospitals of the region, then of the whole country, and to train medical and administrative staff in the management and analysis of health data. In countries recovering from war, a functioning health monitoring system is essential in guiding the development of appropriate public health interventions, a key instrument to prepare the health system to respond to future emergencies.

scholarly journals Internet of things (IoT) based health monitoring system and challenges

2018 ◽  
Vol 7 (1.7) ◽  
pp. 175 ◽  
Author(s):  
M Sathya ◽  
S Madhan ◽  
K Jayanthi
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Health Monitoring ◽  
Healthcare Services ◽  
The Body ◽  
Healthcare Applications ◽  
Health Monitoring System ◽  
The People ◽  
Improved Outcomes ◽  
The World

Among the applications that Internet of Things (IoT) facilitated to the world, Healthcare applications are most important. In general, IoT has been widely used to interconnect the advanced medical resources and to offer smart and effective healthcare services to the people.  The advanced sensors can be either worn or be embedded into the body of the patients, so as to continously monitor their health. The information collected in such manner, can be analzed, aggregated and mined to do the early prediction of diseases.  The processing algorithms assist the physicians for the personalization of treatment and it helps to make the health care economical, at the same time, with improved outcomes. Also, in this paper, we highlight the challenges in the implementation of IoT health monitoring system in real world.

The Design of Wearable Sub-Health Monitoring System

2015 ◽  
Vol 727-728 ◽  
pp. 670-674
Author(s):  
Hao Ma ◽  
Xiu Juan Fan ◽  
Xiao Yun Yin
Keyword(s):  
Neural Network ◽  
Monitoring System ◽  
Health Monitoring ◽  
Bp Neural Network ◽  
Health Data ◽  
Physiological Signals ◽  
State Assessments ◽  
Accurate Calculation ◽  
Health Monitoring System ◽  
Scientific Decision

This paper describes a wearable technology sub-health monitoring system based on the description of the system and physiological signals by Zigbee module sub-health data collection, acquisition and transfer process, as well as PC using BP neural network for sub-health algorithm model state assessments; simulation tests to verify the rationality and practicality of the system. In short, the system has a simple and accurate calculation of benefits for sub-health can quickly assess and provide comprehensive, objective and scientific decision-making reference, extensive prospects.

scholarly journals The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV)

2018 ◽  
Author(s):  
Christopher K Basu ◽  
Francois Deacon ◽  
John R Hutchinson ◽  
Alan M Wilson
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Field Experiments ◽  
Low Cost ◽  
The Body ◽  
Video Frame ◽  
Surface Model ◽  
Central Field ◽  
Gold Standard Method ◽  
Biomechanical Models ◽  
Aerial Vehicle

The study of animal locomotion can be logistically challenging, especially in the case of large or unhandleable animals in uncontrolled environments. Recent technological advances have permitted the use of Global Positioning System and inertial sensors in locomotion studies, but these methods require manual access to each study subject. Here we demonstrate the utility of a low cost unmanned aerial vehicle (UAV) in measuring two-dimensional running kinematics from free-roaming giraffes (Giraffa camelopardalis giraffa) in the Free State Province, South Africa. We collected 120 Hz video of running giraffes, and calibrated each video frame using metatarsal length as a constant object of scale. We tested a number of methods to measure metatarsal length. The method with the least variation used close range photography and a trigonometric equation to spatially calibrate the still image, and derive metatarsal length. In the absence of this option, a spatially calibrated surface model of the study terrain was used to estimate topographical dimensions in video footage of interest. Data for the terrain models were collected using the same equipment, during the same study period. We subsequently validated the accuracy of the UAV method by comparing similar speed measurements of a running human subject, with a gold standard method. We recommend that future users maximise the camera focal distance, and keep the subject in the central field of view. The studied giraffes used a grounded rotary gallop with a speed range of 3.4 to 6.9 ms-1 (never cantering, trotting or pacing), and lower duty factors when compared with other cursorial quadrupeds. As this pattern might result in adverse increases in peak vertical limb forces with speed, it was notable to find that contralateral limbs became more in-phase with speed. Considering the latter pattern and the modest maximal speed of giraffes, we speculate that tissue safety factors are maintained within tolerable bounds this way. Furthermore, the angular kinematics of the neck were frequently isolated from the pitching of the body during running; this may be a result of the large mass of the head and neck. Further field experiments and biomechanical models are needed to robustly test these speculations.

scholarly journals Experience of computational research on the flutter of an unmanned aerial vehicle

2018 ◽  
pp. 18-25
Author(s):  
V. A. Mosunov ◽  
R. V. Ryabykina ◽  
V. I. Smyslov ◽  
A. V. Frolov
Keyword(s):  
Initial Data ◽  
Mathematical Models ◽  
Unmanned Aerial Vehicle ◽  
Parametric Analysis ◽  
The Body ◽  
Experimental Investigations ◽  
Calculation Data ◽  
Aerial Vehicle ◽  
Computational Research

The paper focuses on the sequence of computational and experimental investigations on the flutter. We set the initial data for the unmanned aerial vehicle and built the mathematical models. Furthermore, we did parametric analysis of symmetric and antisymmetric flutter shapes of the wings and the tail, studied the aerodynamics effect on the body of the vehicle, gave the examples of the calculation data on the base of KS-M and MSC. Nastran software.

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