Top PDF Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

Monitoring systems for hospital healthcare are necessary to continue monitoring and tracking the physiological parameters for the patient. Advanced applications have been presented via wireless technologies to bring forth exciting possibilities in the medical market. Today, wireless technology has been eliminated all of the time-consuming jobs as well as, the patients could be liberated from instrumentation and bed. In this paper, design a system for measuring heart pulse of a patient and displaying it in a smartphone and computer over the network in real-time settings. The presented method provided the possibility of ease of use by the user and not only by the specialist also offered speed and the accuracy of the results as well as the highest availability with the user on an ongoing basis, and few cost. From the perspective of future work, we intend to develop the conducted system to encompass two directions, first direction is to improve the proposed system to measure heart rate, temperature, Oxygen in the blood and breathing. The second direction target is to enhance the application that performs tracking to the patient physiological parameter by a doctor via sending alarm or notification. In addition to, send an alert to a nearby clinical home via GPS for an emergency situation.
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Wireless Sensor Network Data Acquisition and Visualization using Mobile Application

Wireless Sensor Network Data Acquisition and Visualization using Mobile Application

This thesis presents the process of creating a mobile application for visualiz- ing wireless sensor data. We have used the existing wireless sensor network, developed at ”Joˇ zef Stefan” institute. The sensor network nodes were up- graded with the ability to measure relative humidity. The sensor network mechanism was upgraded to allow humidity readings as well. During the upgrade, we noticed a deficiency in the sensor network mechanism and im- proved it. In order to support the mobile application, we developed a back- end server based on a Raspberry Pi microcomputer. The back-end server includes a script which communicates with the sensor network, a database and a web API. The mobile application was developed using Android studio. The application displays the sensors on a floor plan with colors representing the temperature or humidity. The floor plan and position of the sensors may be customized. The application also displays graphs for viewing historical data. The platform was connected to the internet and tested on a mobile device.
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The Real-time Electrocardiogram Signal Monitoring System in Wireless Sensor Network

The Real-time Electrocardiogram Signal Monitoring System in Wireless Sensor Network

The Real-time ECG signal monitoring system gets the ECG signal data from user via non-contact ECG sensor. Microcontroller combined to non-contact ECG sensor for computes the data and sends to network by Zigbee. Connect Zigbee to Smartphone via serial port then analyze the ECG signal data in mobile application. The mobile application separated into 2 parts; monitor thread that shows the ECG signal in graph and analyst thread that detect the abnormal of ECG signal. Then notify the abnormal ECG signal to user. Selected 20 samples of abnormal ECG signal then experimental at 10 and 20 meters sender module-receiver module distance, evaluate by accuracy. The results show that the Real-time ECG signal monitoring system detect 17 abnormal ECG signal, the accuracy is 85%. This systems efficient for detect the abnormal of ECG signal in real-time.
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Wireless Sensor Network for Heart Disease Detection Using Data Mining Technique

Wireless Sensor Network for Heart Disease Detection Using Data Mining Technique

monitoring and identifying the diseases in a cardiac patients at remote areas. [5]Author provides research article which shows a real-time WSN system for prediction of upcoming cardiovascular disease. The system has capability to monitor multiple patients at a time and diagonize the patient with prescription; also provides warning signals to doctors and relatives too. We can use the above model with application of data mining technique for getting more real-time data sets and accuracy in detection of risk of having various cardiovascular diseases.
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Real-Time Wireless Network of Mobile Sensor Nodes Based on ZigBee Protocol: Design and Implementation

Real-Time Wireless Network of Mobile Sensor Nodes Based on ZigBee Protocol: Design and Implementation

Wireless sensor networks are an evolving technology for a wide range of environments due to its low-cost and importance that has been implemented by the recent delivery of the IEEE 802.15.4 standard (ZigBee standard) for application layers. The benefit of this module is to develop the designing skills on the wireless networks using ZigBee protocol that is providing a standardized base set of solutions for control systems and sensor .In this paper, a wireless network consisting of four mobile sensor nodes is designed and implemented. Thermal sensor is used in each node to measure the temperature. After the temperature was measured correctly, the system is modified in terms of having a better reliability by implementing the CRC technique. Furthermore, a TDMA and CSMA algorithms are applied to the nodes in a way that the four nodes of the network must be able to transmit and receive the data without any collision. The system is applied on a modern embedded board is PICDEM-Z BOARD. This board has excellent features such as high performance core PLCI8F4620, memory and Rf transceiver work with ZigBee protocol. The results show high flexibility and reliability in the measuring and exchanging the data between all the nodes within one second in real time.
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Real Time Multi Patient Heart Rate and ECG Monitoring System using Wireless Sensor Network

Real Time Multi Patient Heart Rate and ECG Monitoring System using Wireless Sensor Network

Cardiovascular (or heart) diseases can be detected with cardiac monitoring. Cardiac monitoring can be of two types-1) External Cardiac Monitoring 2) Implementable and insertable cardiac monitoring. External cardiac monitoring is a traditional type of monitoring where the electrodes are located on patient’s body for between 24 hrs to 30 days. Devices monitor as well as store data. These monitoring devices can be connected to mobile devices. So experts can review that and can conclude about disease. Insertable and implementable cardiac monitoring is related with the electrodes are placed just under the skin. Patient can continue with regular activities once the wound has healed. This type of monitoring is required when patient needs long term of monitoring up to three years.
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River Monitoring an Application for Wireless Sensor Network Platform

River Monitoring an Application for Wireless Sensor Network Platform

Earth’s surface consists with 71 % of water in it. Water plays a very important role for all living being, but due to growing industries and technical life style the water is getting polluted by man. The environmental monitoring system ie the water monitoring system is hence a recent technology that helps to control water pollution. In previous days man himself had to check the pollutant contents as well as the level using handheld devices as shown in Fig 1. WSN ie wireless sensor network thus helps to reduce the physical efforts to an automatic sytsem. WSN network typically consists of a high number of sensor nodes, also called motes, and of one or few gateway nodes. The gateway node is connected with a computer to access the data of the WSN. Each mote collects information about its environment using the attached sensors.This information is forwarded to gateway nodes in a multi-hop manner as shown in Fig 2.
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Web of Thing Application for Monitoring Precision Agriculture Using Wireless Sensor Network

Web of Thing Application for Monitoring Precision Agriculture Using Wireless Sensor Network

Abstract — Wireless Sensor Network (WSN) is a technology which can help humans solve problems in daily life for monitoring the environment. This can be done to help farmers in monitoring and making decisions for watering plants. In this study, temperature, humidity and soil moisture sensors were used to help farmers monitor web-based precision agriculture, and the system which be built could make a decision to automatically water plants based on soil conditions. The results of measuring precision agriculture from the sensor node will be sent to the gateway using Zigbee 802.15.4. The data will be stored in the MySQL database provided by the gateway. Then it will be synchronized to the cloud using IoT technology, so users can access it in real time by using web-based application. From the system which is developed, it really helps farmers to complete their work and make innovation in the digital era.
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Wireless Sensor Network Using Flood Monitoring

Wireless Sensor Network Using Flood Monitoring

Low power sensor network detect, locate and identify flood level, for this a set of sensor nodes spread over a river area, these nodes are capable for sensing and communicating with each other by means of wireless network. The sensor may be controllable, possibly aimed and commanded to sense and transmit data to their neighbours. Though each node is an independent hardware device, they need to co-ordinate their sensing, computation and communication to acquire relevant information about their status so as to accomplish some high-level task.
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Remote Monitoring of the Heart Condition of Athletes by Measuring the Cardiac Action Potential Propagation Time Using a Wireless Sensor Network

Remote Monitoring of the Heart Condition of Athletes by Measuring the Cardiac Action Potential Propagation Time Using a Wireless Sensor Network

The extreme physical throughput under stressed conditions in highly competing games for athletes needs instantaneous medical attention. Too much stress has a direct effect on hormonal balance, and eventually stress affects our entire metabolism and immune system. Physical demands, psychological demands, expectations and pressure to perform to a high standard all are causative in increasing the load on the heart. In a general arousal of the body, Heart rate increases, blood is rushed to the muscles, blood pressure and muscle tension increase [1]. The ECG waveform (Fig. 1) will show elevated S-T segment and temporary Q waves might appear in the waveform [2]. These wave changes will take place over very short durations of a few seconds and the same may revert back soon. It is not feasible easily to observe the ECG wave from each successive beat and from the various ECG lead positions. In clinically recorded ECG, what is observed is the standard 12 lead waveforms, which are not all taken from one and same heart beat, but over a staggered period which may be even one or two minutes. In intensive care Cardiac bedside monitors, they observe just the single ECG from a so called rhythm strip electrode set.
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													Wireless sensor network based real time monitoring system for electrical power distribution network

1. Wireless sensor network based real time monitoring system for electrical power distribution network

The vital part of a WSN based system is the wireless communication network that interconnects all the sensing nodes. Theses wireless communication links are established either using the available services like GSM, GPRS and Wi-Fi or in some cases by creating an ad-hoc wireless network. The services like GSM, GPRS etc. are third party services which may not be available at all the places of concern and also they add up a considerable amount to the operational cost of the WSN based systems. These above addressed issues are very well taken care of by the use of an ad-hoc network for the system. An ad-hoc network is created using radio modules which work on a defined protocol and the use of this ad-hoc network makes WSN based systems independent of any third party services. This enables their implementation almost anywhere as an independent system.
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Heterogeneous Wireless Sensor Network for Real Time Remote Monitoring of Sand Dynamics on Coastal Dunes

Heterogeneous Wireless Sensor Network for Real Time Remote Monitoring of Sand Dynamics on Coastal Dunes

Abstract. In this paper, the architecture of a heterogeneous Wireless Sensor Network (WSN) to be deployed on coastal sand dunes is described, the aim of which is to provide real time measurements of physical parameters to better define the sediment transport in connection with Aeolian processes. The WSN integrates different typologies of sensors and is provided with both local and remote connection. In particular, three different typologies of sensors are integrated in the network: a multilayer anemometric station, a sensor developed ad-hoc to measure the sand dune level and a sand collector capable of measuring the weight of trapped sand and its quantity. Each sensor node is made up at least of a ZigBee radio module that is able to transmit the data collected by the sensor at a distance of about 100 meters. While the sand level sensor and the sand collector are provided only with this transmission module, the anemometric station also integrates a microprocessor board in charge of data processing. A Gateway node provided with a GSM connection for remote data transmission and a Zigbee radio module for Local Area communication has also been developed. This node is in charge of collecting all the data packets sent by the Sensor Nodes and transmit them to a remote server through GPRS connection. A Web server has been set up to collect these packets and store them in a database. The proposed WSN can provide both a static and a dynamic framework of sand transport processes acting on coastal dunes.
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Wireless Sensor Network for Monitoring A Patient Having Hole in the Heart Continuously Using Zigbee

Wireless Sensor Network for Monitoring A Patient Having Hole in the Heart Continuously Using Zigbee

Although Bluetooth is better than Zigbee for transmission rate, but Zigbee has lower power consumption. Hence, Zigbee is generally used for 24 hours monitor of communication transmission system. The first procedure of the system that we use the biosensor to measure Heart rate and blood pressure from human body using Zigbee the measured signal sends to the PC via the RS-232 serial port communication interface. We can send the signal to remote PC or PDA from the internet. In particular, when measured signals over the standard value, the personal computer will send GSM short message to absent care taker’s mobile phone.
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Real Time Heart Attack and Heart Rate Monitoring Android Application

Real Time Heart Attack and Heart Rate Monitoring Android Application

Biomedical engineering (BME) combines the design and problem-solving skill of engineering with medical and biological sciences to improve patient’s health care and the quality of life of individuals. Cardiovascular disease is one of the major causes of untimely deaths in the world, heart beat readings are by far the only viable diagnostic tool that could promote early detection of cardiac events. By using this we can measure one’s heart rate through fingertip. This paper focuses on the heart rate monitoring and alert which is able to monitor the heart beat rate of the patient. The hardware setup enables us to determine the heart beat rate per minute and then send notification to the mobile phone. It is portable and cost effective. It is a very efficient system and very easy to handle and thus, provides great flexibility and serves as a great improvement over other conventional monitoring and alert systems.
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Greenhouse Monitoring Using Wireless Sensor Network

Greenhouse Monitoring Using Wireless Sensor Network

Significant inputs of the heat and light may be required, particularly with the winter production of warm weather vegetables. Because the temperature and humidity of greenhouses must be constantly monitored to ensure optimal conditions, a wireless sensor network can be used to gather data remotely. The data is transmitted to a control location and used to control heating, cooling, and irrigation systems.

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A Survey on Mobile Coordinated Wireless Sensor Network: An Energy Efficient Scheme for Real-Time Transmissions

A Survey on Mobile Coordinated Wireless Sensor Network: An Energy Efficient Scheme for Real-Time Transmissions

In [7], an alternate system set-up with a portable sink is introduced. In this approach, certain hubs along a ring in the system are educated about the area of the sink. For information transmission, a hub first gains the sink's area, at that point advances the bundle to a stay hub which is nearest to the present sink area. In the event that the sink moves to another area, the old stay hub will be overhauled with the new grapple hub that is nearest to the sink. One impediment of this approach is the overhead related with the sink area obtaining, which would affect the throughput and postponement of information transmission too as the vitality productivity because of the continuous transmission furthermore, gathering of control messages. In [8], versatile transfers are used to encourage information accumulation. In any case, this would be wasteful as far as vitality utilization as well as deferral. In this paper, by abusing the latest advances in Unmanned Aerial Vehicles (UAVs) and remote charging [3], [4], we propose a versatile get to facilitated remote sensor arrange (MC-WSN) for time-delicate, dependable, and vitality proficient data trade. In MC-WSN, the entire system is partitioned into cells, each is secured by one MA, and presented with capable focus bunch head (CCH) situated amidst the cell, and various ring bunch heads (RCHs) consistently disseminated along a ring inside the phone. The MAs organize the organize through conveying, supplanting and reviving the hubs. They are additionally in charge of upgrading the organize security, by identifying bargained hubs then supplanting them. Information transmission from sensor hubs to the MA experiences basic steering with bunch heads (CHs), CCH or RCHs serving as hand-off hubs. As in SENMA, the sensors are not included in the directing handle. A noteworthy element of MC-WSN is that: Through dynamic system sending and topology plan, the number of hops from any sensor to the MA can be restricted to a pre-determined number. As will be appeared, the hop number control, thus, brings about better framework execution in throughput, delay, vitality productivity, and security administration.
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Developing a sensor network for real time temperature monitoring in Enschede

Developing a sensor network for real time temperature monitoring in Enschede

The sensor node is brought to its deployment location. It is not exactly known where it can be  placed. A suitable light pole with a height of more than 4 meters is needed. When a suitable  light pole is found, the researcher climbs into the light pole with the use of a ladder. When the  required height is reached, the sensor node is attached to the pole using a strap. All this time  the sensor has been turned on. The researcher climbs down the ladder and drives away. The  sensor node has been placed with the solar panel facing south, and the batteries start  charging. When it is night, the sensor node tries to get a fix on its position using the GPS  sensor that is built in. The fix is successful and the sensor node is now transmitting its  accurate location as well as its temperature to a remote server. 
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Real time bus tracking and scheduling system using wireless sensor and mobile technology

Real time bus tracking and scheduling system using wireless sensor and mobile technology

The Arduino Mega is simple Open Source microcontroller board. It is operated using a 5.5 V power supply. It is so easy comparatively; this board is very simple and anybody can use. [9] and [10]. Arduino IDE uses a simple programing language with continuous support on the driver and latest libraries. Arduino has some Digital and Analog Input and output ports that provide the processing power to any requires nature.

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Application of Network Coding in Wireless Sensor Networks for Bridge Monitoring

Application of Network Coding in Wireless Sensor Networks for Bridge Monitoring

quality is assessed and further decisions concerning infrastructure safety are made by civil engineers. Data sampling should be performed simultaneously at all nodes. In addition, the sampling rate should be high because the measured vibrations in a structure change quickly. Due to the high sampling frequency, the traffic load of raw data is very high, and it is recommended to decrease the volume of data prior to transferring them to the data sink node. However, data processing should not harm the fidelity of data because that would directly degrade the sensitivity of SHM. The performance of a SHM system depends on the quality of data received at the sink and the packet loss rate. Thus, SHM’s goal is reliable and lossless communication over potentially a large span network. It is essential to decrease data overhead as much as possible and carefully use scarce network resources. Data aggregation techniques are not the best solution for SHM. They are frequently based on averaging, minimizing or maximizing the value of all received messages. In monitoring infrastructure, it is important to deliver accurate information to civil engineers so they can make the best decision. In typical aggregation, some information is lost. A good way to preserve original sensed data yet decrease the volume of data is to deploy network coding. The idea of network coding is to allow the coding of data at intermediate nodes and forward coded packets, each of which is generated by combining and encoding more than one packets received from possibly multiple sources. The simplest encoding scheme is the XOR operation applied to each corresponding bits of two packets of the same size. In traditional routing schemes, nodes forward data packets from each neighboring node towards the sink separately. Let us observe the communication between nodes A and B, via relay node R (the top part of Figure 1). Firstly, node A sends its message (A) to the relay node R, which forwards the message (A) to the node B. In the third time slot, the message from node B, labeled as (B), is sent to the relay node R, and then it is forwarded to the node A in the fourth
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Power Monitoring and Controlling using Wireless Sensor Network

Power Monitoring and Controlling using Wireless Sensor Network

ABSTRACT: The design and development of a smart monitoring and controlling system for household electrical appliances in real time has been implemented. The novelty of this system is the implementation of the controlling mechanism of appliances in different ways. Proposed system monitors the electrical parameters such as voltage, current and subsequently calculates the power consumption of the home appliances that are need to be monitored. The innovation of this system is controlling mechanism implementation. Also the proposed system is a user authentication, economical and easily operable. Due to these intelligent characteristics it become an user friendly. Smart power conservation is a method of controlling home appliances automatically for the convenience of users. Controlling of electrical devices in the home that can be programmed using Arduino controller or even via smart phone from anywhere in the world.
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