scholarly journals Development of Wireless Monitoring System for Pulse Rate: A New Approach

Proceedings ◽  
2020 ◽  
Vol 67 (1) ◽  
pp. 13
Author(s):  
Mohammad Monirujjaman Khan ◽  
Tahia Tazin ◽  
Tabia Hossain
Keyword(s):  
Pulse Rate ◽  
Heart Diseases ◽  
Low Cost ◽  
Sensor Unit ◽  
Wireless Monitoring ◽  
Remote Transmission ◽  
Heartbeat Rate ◽  
Arduino Uno ◽  
Artery Disease ◽  
Rate Sensor

Various types of heart diseases, including cardiac arrhythmia, myocardial infarction, and coronary artery disease, are one of the main reasons behind the causes of death around the world. It can be mitigated if we know the pulse rate and monitor it properly. However, constant monitoring can be expensive for the private sector and so we are proposing to solve the problem by the implementation of a wireless network based on Bluetooth. The pulse rate data is sent from Arduino Uno via Bluetooth to Smartphone and it can be analyzed by the user and sent it to an expert doctor with a low cost and more efficiently. This project identifies with a heartbeat rate estimation gadget, including a heartbeat rate sensor unit that distinguishes a client’s heartbeat rate, a sign preparing unit that receives and measures the sign produced from the sensor, and a remote sign sending unit that takes the sign from the handling unit and then communicates the sign to the arranged gadget. The sensor unit distinguishes the recurrence of the progress of blood thickness to get the pulse, carefully and productively finding the location of the pulse, participating in the method of remote transmission and accordingly, our motivation of advancing precision of identification and improving comfort of utilizing is accomplished. The model incorporates Arduino Uno, Pulse Rate Sensor, Bluetooth Board, Breadboard, USB link, and so forth.We communicate the information utilizing Bluetooth to Smartphone utilizing Pulse Rate Monitor circuit furnished with Arduino Uno.

Open Loop Speed Control Of Brushless DC Motor Using Low Cost Arduino UNO Processor

2016 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Potnuru Devendra ◽  
Mary K. Alice ◽  
Ch. Sai Babu ◽  
◽  
◽  
...  
Keyword(s):  
Low Cost ◽  
Speed Control ◽  
Dc Motor ◽  
Open Loop ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Arduino Uno

Design and Implementation of Wireless Voltage Monitoring System Based on Zigbee

2017 ◽  
Vol 12 (3) ◽  
pp. 83-96 ◽  
Author(s):  
Luo Xiaohui
Keyword(s):  
Monitoring System ◽  
Single Phase ◽  
Low Cost ◽  
Moving Average ◽  
Voltage Sensor ◽  
Wireless Transmission ◽  
Phase Voltage ◽  
Medium Voltage ◽  
Wireless Monitoring ◽  
Three Phase

This paper proposed a low cost wireless monitoring system based on ZigBee wireless transmission, and designed a new floating voltage sensor which is suitable for the monitoring of medium voltage and high voltage(MV/HV) public equipment. The system used TI-CC2530 as the controller, proposed a new moving average voltage sensing(MAVS) algorithm by reasonable assumptions, and adopted algorithms to perform the theoretical analysis for the single phase and three-phase voltage. At last, the author carried out a practical experiment on the wireless floating voltage sensor under the voltage up to 30kV, the experimental results showed that the proposed low cost wireless sensor can achieve a good voltage monitoring function, and the error is less than 3%.

scholarly journals Role of Selected miRNAs as Diagnostic and Prognostic Biomarkers in Cardiovascular Diseases, Including Coronary Artery Disease, Myocardial Infarction and Atherosclerosis

2021 ◽  
Vol 8 (2) ◽  
pp. 22
Author(s):  
Rashid Mir ◽  
Imadeldin Elfaki ◽  
Naina Khullar ◽  
Ajaz Ahmad Waza ◽  
Chandan Jha ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cardiovascular Diseases ◽  
Cardiac Dysfunction ◽  
Heart Diseases ◽  
Prognostic Biomarkers ◽  
Apoptotic Bodies ◽  
Artery Disease

Cardiovascular diseases are the leading cause of death worldwide in different cohorts. It is well known that miRNAs have a crucial role in regulating the development of cardiovascular physiology, thus impacting the pathophysiology of heart diseases. MiRNAs also have been reported to be associated with cardiac reactions, leading to myocardial infarction (MCI) and ultimately heart failure (HF). To prevent these heart diseases, proper and timely diagnosis of cardiac dysfunction is pivotal. Though there are many symptoms associated with an irregular heart condition and though there are some biomarkers available that may indicate heart disease, authentic, specific and sensitive markers are the need of the hour. In recent times, miRNAs have proven to be promising candidates in this regard. They are potent biomarkers as they can be easily detected in body fluids (blood, urine, etc.) due to their remarkable stability and presence in apoptotic bodies and exosomes. Existing studies suggest the role of miRNAs as valuable biomarkers. A single biomarker may be insufficient to diagnose coronary artery disease (CAD) or acute myocardial infarction (AMI); thus, a combination of different miRNAs may prove fruitful. Therefore, this review aims to highlight the role of circulating miRNA as diagnostic and prognostic biomarkers in cardiovascular diseases such as coronary artery disease (CAD), myocardial infarction (MI) and atherosclerosis.

scholarly journals Disease Classification and Biomarker Discovery Using ECG Data

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Rong Huang ◽  
Yingchun Zhou
Keyword(s):  
Biomarker Discovery ◽  
Heart Diseases ◽  
Low Cost ◽  
Recent Decade ◽  
Extraction Methods ◽  
Disease Classification ◽  
Stepwise Discriminant Analysis ◽  
Heavy Tailed ◽  
Sensitivity Specificity ◽  
Sample Quantiles

In the recent decade, disease classification and biomarker discovery have become increasingly important in modern biological and medical research. ECGs are comparatively low-cost and noninvasive in screening and diagnosing heart diseases. With the development of personal ECG monitors, large amounts of ECGs are recorded and stored; therefore, fast and efficient algorithms are called for to analyze the data and make diagnosis. In this paper, an efficient and easy-to-interpret procedure of cardiac disease classification is developed through novel feature extraction methods and comparison of classifiers. Motivated by the observation that the distributions of various measures on ECGs of the diseased group are often skewed, heavy-tailed, or multimodal, we characterize the distributions by sample quantiles which outperform sample means. Three classifiers are compared in application both to all features and to dimension-reduced features by PCA: stepwise discriminant analysis (SDA), SVM, and LASSO logistic regression. It is found that SDA applied to dimension-reduced features by PCA is the most stable and effective procedure, with sensitivity, specificity, and accuracy being 89.68%, 84.62%, and 88.52%, respectively.

scholarly journals Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Joyoung Lee ◽  
Zijia Zhong ◽  
Bo Du ◽  
Slobodan Gutesa ◽  
Kitae Kim
Keyword(s):  
Energy Saving ◽  
Fiber Optics ◽  
Monitoring System ◽  
Data Center ◽  
Low Cost ◽  
Wireless Sensor ◽  
Navigation Systems ◽  
Urban Mobility ◽  
Proof Of Concept ◽  
Sensor Unit

This paper presents a low-cost and energy-saving urban mobility monitoring system based on wireless sensor networks (WSNs). The primary components of the proposed sensor unit are a Bluetooth sensor and a Zigbee transceiver. Within the WSN, the Bluetooth sensor captures the MAC addresses of Bluetooth units equipped in mobile devices and car navigation systems. The Zigbee transceiver transmits the collected MAC addresses to a data center without any major communications infrastructures (e.g., fiber optics and 3G/4G network). A total of seven prototype sensor units have been deployed on roadway segments in Newark, New Jersey, for a proof of concept (POC) test. The results of the POC test show that the performance of the proposed sensor unit appears promising, resulting in 2% of data drop rates and an improved Bluetooth capturing rate.

scholarly journals Enhanced Algorithm Implementation for Low Powered IoT Devices Using Authenticator to Improve Data Integrity

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 733-751
Author(s):  
D.M. Sheeba
Keyword(s):  
Data Security ◽  
Low Cost ◽  
Easy Access ◽  
Raspberry Pi ◽  
Network Availability ◽  
Services Delivery ◽  
Encryption And Decryption ◽  
Arduino Uno ◽  
Iot Devices ◽  
Algorithm Implementation

Internet of Things enables many industries to connect to end customers and provide seamless products and services delivery. Due to easy access to network, availability of devices, penetration of IoT services exponentially Growing. Meanwhile, Ensuring the Data Security and Integrity of devices connected to network is paramount. In this work, we bring the efficient way of implementing Secure Algorithm for low powered devices and enhancing the encryption and decryption process. In addition to the data security, to enhance node integrity with less power, Authenticator and intermediate network manager introduced which will acts as a firewall and manager of data flow. To demonstrate the approach, same is implemented using low cost Arduino Uno, Raspberry Pi boards. Arduino Uno used to demonstrate low powered encryption process using EDIA Algorithm and raspberry pi used as nodal manager to manage the integrity of nodes in a low-powered environment. Data Security and Integrity is ensured by the way of enhanced Algorithm and Integrity through BlockChain and results are provided and discussed. Finally result and future enhancement are explained.

scholarly journals A CRITICAL REVIEW AND LOCAL AUDIT OF THE PREVALENCE OF MENTAL ILL-HEALTH IN HEART FAILURE PATIENTS

2020 ◽  
pp. 10-16
Author(s):  
MARIAM AHMED ◽  
HANA MORRISSEY ◽  
PATRICK ANTHONY BALL
Keyword(s):  
Heart Failure ◽  
Heart Diseases ◽  
Local Population ◽  
Population Data ◽  
Management Plan ◽  
Local Data ◽  
Heart Failure Patients ◽  
Cardiac Outcomes ◽  
Artery Disease ◽  
Two Phases

Objective: To establish if depression results in poor adherence to therapy in patients with heart diseases. Methods: This concept scoping study was conducted in two phases; the first was a systematic review of the literature, and the second part was local data analysis. Statistical analysis was performed using RevMan® V.5.3 (Cochrane Community). Results: Patients who received multidisciplinary collaborative care showed significantly reduced major adverse cardiac outcomes in patients with cardiovascular diseases. They also demonstrated higher rates of self-reported remission of depression. The review also showed endpoint mortality after PCI was associated with patients having depression. Local population data showed that 26% of heart failure patients had mental ill health comorbidity, however, only 12% had a formal diagnosis recorded. Conclusion: Depression is associated with poor cardiac outcomes in patients with coronary artery disease. It is widespread in patients with cardiovascular disease and must be screened for throughout the management plan.

scholarly journals An IoT based Low-cost Weather Monitoring System for Smart Farming

2021 ◽  
Author(s):  
L.P.S.S.K. Dayananda ◽  
A. Narmilan ◽  
P. Pirapuraj
Keyword(s):  
Liquid Crystal ◽  
Mobile Phone ◽  
Real Time ◽  
Monitoring System ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Weather Conditions ◽  
Weather Data ◽  
The Internet ◽  
Arduino Uno

Background: Weather monitoring is an important aspect of crop cultivation for reducing economic loss while increasing productivity. Weather is the combination of current meteorological components, such as temperature, wind direction and speed, amount and kind of precipitation, sunshine hours and so on. The weather defines a time span ranging from a few hours to several days. The periodic or continuous surveillance or the analysis of the status of the atmosphere and the climate, including parameters such as temperature, moisture, wind velocity and barometric pressure, is known as weather monitoring. Because of the increased usage of the internet, weather monitoring has been upgraded to smart weather monitoring. The Internet of Things (IoT) is one of the new technology that can help with many precision farming operations. Smart weather monitoring is one of the precision agriculture technologies that use sensors to monitor correct weather. The main objective of the research is to design a smart weather monitoring and real-time alert system to overcome the issue of monitoring weather conditions in agricultural farms in order for farmers to make better decisions. Methods: Different sensors were used in this study to detect temperature and humidity, pressure, rain, light intensity, CO2 level, wind speed and direction in an agricultural farm and real time clock sensor was used to measured real time weather data. The major component of this system was an Arduino Uno microcontroller and the system ran according to a program written in the Arduino Uno software. Result: This is a low-cost smart weather monitoring system. This system’s output unit were a liquid crystal display and a GSM900A module. The weather data was displayed on a liquid crystal display and the GSM900A module was used to send the data to a mobile phone. This smart weather station was used to monitor real-time weather conditions while sending weather information to the farmer’s mobile phone, allowing him to make better decisions to increase yield.

Active Roll Control of Heavy Single Unit Vehicles Employing MEMS Angular Rate Sensors

2007 ◽  
Author(s):  
Samuel F. Asokanthan ◽  
Ye Tian ◽  
Tianfu Wang
Keyword(s):  
Single Unit ◽  
Dynamic Models ◽  
Low Cost ◽  
Angular Rate ◽  
Micro Electro Mechanical System ◽  
Angular Rate Sensor ◽  
Linear Quadratic ◽  
Roll Control ◽  
Active Roll Control ◽  
Rate Sensor

The present paper is concerned with the use of active roll control to improve the roll stability of heavy road-vehicles and the application of Micro-electro-mechanical System (MEMS) angular rate sensors in the feedback monitoring. For this purpose, mathematical models that represent the roll/yaw dynamics for a torsionally rigid Single Unit Vehicle (SUV) is presented. The state-space models that represent the vehicle dynamics are also developed for the purpose of performing numerical simulations. A linear Quadratic Gaussian (LQG) based controller, using Kalman estimator to estimate certain states, is employed to design a full-state active roll control system. A mathematical model that represents the dynamic behavior of a low-cost MEMS gyroscope is derived for the purpose of investigating the suitability of applying this class of angular rate sensor in the roll control of heavy vehicles. Some reliability issues related to MEMS sensors, such as noise and drift, are introduced and included in vehicle dynamic models.

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